#next-gen data architecture

[goodoldbandit]

Data Unbound: Embracing NoSQL & NewSQL for the Real-Time Era.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Explore how NoSQL and NewSQL databases revolutionize data management by handling unstructured data, supporting distributed architectures, and enabling real-time analytics. In today’s digital-first landscape, businesses and institutions are under mounting pressure to process massive volumes of data with greater speed,…

[manmishra]

🚀💻 BREAKING: Nvidia’s AI Ultra Chip is coming! 🤯🔥 With Reuben Architecture, this next-gen chip will make AI computing ⚙️💡 faster, smarter & more powerful! 🤖⚡ 💊🏥 Healthcare: Faster diagnosis & drug discovery 💉🧠 🚗🚦 Self-driving cars: Real-time decision making 🏎️🔋 💰📊 Finance: Accurate predictions 💹📈 🎮🕹️ Gaming: Ultra-realistic graphics 🎨👾 But can Nvidia stay ahead of AMD, Intel, Google & Microsoft? 🤔💡 👉 Read more! 📖🔍 #NvidiaAI #FutureOfAI #TechNews #AIUltraChip 🚀💻

[usafphantom2]

U.S. Air Force Awards RTX $1 Billion Contract to Upgrade F-22 Sensors

The contract follows the recent news about the tests of new advanced sensors on the F-22 Raptor, which the U.S. Air Force is planning to field quickly as part of the ongoing upgrade program.

Parth Satam

F-22 new sensors contract

An F-22 Raptor takes off from Nellis Air Force Base, Nevada, June 30, 2022. (U.S. Air Force photo by Senior Airman Zachary Rufus)

Amid the acute need for 5th generation fighters in modern combat scenarios against peer adversaries, the U.S. Air Force is looking to upgrade its F-22 Raptor with a series of sensors to make it more survivable and relevant. The service announced on Aug. 29, 2024, the award of a $1 billion contract to RTX‘s Raytheon for new sensors that are categorized as “Group B hardware”, together with spares and support equipment.

“Work will be performed in McKinney, Texas, and is expected to be completed by May 8, 2029,” said the DoD contracts statement. The Aviationist had recently reported that the Air Force was testing new sensors on the F-22 to extend its service life, which would also be applied to the NGAD (Next Generation Air Dominance) family of systems.

That report also quoted Brig. Gen. Jason D. Voorheis, the Program Executive Officer for Fighter and Advanced Aircraft, who said they were hoping to field these sensors faster. The Raptor team had conducted six flight tests to demonstrate the advanced sensors.

“The F-22 team is working really hard on executing a modernization roadmap to field advanced sensors, connectivity, weapons, and other capabilities. We’re executing that successfully, and that will lead to […] a rapid fielding in the near future.” This would be done through a Middle Tier Acquisition (MTA) program.

Some of the sensors included in the contract could be the stealthy pods seen on the F-22. Air and Space Forces earlier quoted officials who confirmed that the pods host IRST (Infrared Search and Track) sensors. The development of a new IRST sensor for the Raptor was also confirmed by the service’s 2025 budget request, which however did not mention the sensor being podded.

This work is part of an F-22 improvement campaign that calls for $7.8 billion in investments before 2030, which includes $3.1 billion for research and development and $4.7 billion in procurement.

An F-22 Raptor with the Air Combat Command F-22 Raptor Demonstration Team performs a flyover and air demonstration at the U.S. Air Force Academy in Colorado Springs, Colo., Aug 13, 2024. (U.S Air Force Photo by Trevor Cokley)

F-22’s future in the U.S. Air Force

The development is also in contrast with previously reported USAF plans to retire the older F-22 airframes, for which it had sought approval from the Congress. These F-22s are 32 Block 20 units from a total fleet of 186. At the same time, the service aims to upgrade the remaining 154 with new cryptography, an expanded open architecture, new weapons and an advanced threat warning receiver, beside the IRST.

However, the service now appears to be reconsidering that plan, after Voorheis was quoted in the ASF report: “From an F-22 sunsetting perspective, I don’t have a date for you.” “What I can tell you is that we are hyper-focused on modernization to sustain that air superiority combat capability for a highly contested environment for as long as necessary,” he added.

IMAGE 3: A U.S. Air Force F-22 Raptor assigned to the 3rd Wing takes off above Joint Base Elmendorf-Richardson, Alaska, Jun. 17, 2024. (Image credit: USAF/Senior Airman Julia Lebens)

The U.S. Air Force describes the Raptor as a combination of stealth, supercruise, maneuverability, and integrated avionics, designed to project air dominance, rapidly and at great distance. Initially introduced as an air-superiority-only asset, the F-22 later started performing both air-to-air and air-to-ground missions.

The F-35 is largely a strike fighter and an airborne sensor-fusion and data-processing capable command post in its tactical orientation. But the Raptor is a pure air dominance interceptor. Although costly to upgrade and maintain, it nevertheless can play an important role in degrading adversary air power through either long-range BVR (Beyond Visual Range) and dogfights.

Moreover, having F-22s also increases the number of LO (Low Observable) aircraft in the inventory, at least until more F-35s are available, especially the TR-3 (Technology Refresh-3) Block 4 upgraded variants.

In 2021 too, then Air Force chief General Charles Q. Brown Jr. revealed his “4+1” fighter plan, suggesting the F-22 to be replaced by the NGAD while retaining the F-35, F-15E and EX, and the F-16. The “plus 1” was the A-10, but in March 2023, Brown said the A-10s were being retired faster than expected and the entire fleet would possibly be divested by 2030.

Meanwhile the NGAD’s future itself is uncertain after U.S.A.F have noted its technical complexity and financial implications. The F-22 thus seems to be back in the running.

On Jul. 10, 2024, Air Combat Command chief Gen. Kenneth Wilsbach said during a Mitchell Institute event that the service has no official plan to retire its F-22 Raptors. “Right now, there’s…frankly isn’t an F-22 replacement and the F-22 is a fantastic aircraft,” said Wilsbach. “I’m in favor of keeping the Block 20s. They give us a lot of training value, and even if we had to in an emergency use the Block 20s in a combat situation, they’re very capable.”

F-22 Indonesia

U.S. Air Force F-22 Raptors assigned to the 27th Expeditionary Fighter Squadron, conduct Dynamic Force Employment operations at I Gusti Ngurah Rai Air Force Base, Indonesia, on Aug. 6, 2024. (U.S. Air Force photo by Senior Airman Mitchell Corley)

Other known F-22 upgrades

Other upgrades mentioned in the 2025 budget request are a Mode 5 Identification Friend or Foe (IFF), Link 16, a Multifunction Information Distribution System Joint Tactical Radio System (MIDS JTRS), a new Operational Fight Program, advanced radar Electronic Protection and an Embedded GPS/Inertial Navigation System (INS) Modernization (EGI-M).

Voorheis also mentioned the GRACE (Government Reference Architecture Compute Environment) software that would allow “non-traditional F-22 software” to be installed on the aircraft and provide “additional processing and pilot interfaces.”

A new helmet is also being tested, as part of the Next Generation Fixed Wing Helmet program to replace the current 40-year-old HGU-55P headgear. The new helmet would also allow the introduction of helmet-mounted devices which provide essential flight and weapon aiming information through line of sight imagery, easing the workload of the pilots.

About Parth Satam

Parth Satam's career spans a decade and a half between two dailies and two defense publications. He believes war, as a human activity, has causes and results that go far beyond which missile and jet flies the fastest. He therefore loves analyzing military affairs at their intersection with foreign policy, economics, technology, society and history. The body of his work spans the entire breadth from defense aerospace, tactics, military doctrine and theory, personnel issues, West Asian, Eurasian affairs, the energy sector and Space.

@Theaviationist.com

[deardearestbrandsnews2025]

For a digital-only, cloud-based PlayStation 7, here’s an updated schematic focusing on next-gen cloud gaming, AI-driven performance, and minimalistic hardware:

1. Hardware Architecture (Cloud-Optimized, Minimalist Design)

Processing Power:

Cloud-Based AI Compute Servers with Custom Sony Neural Processing Units (NPUs)

Local Ultra-Low Latency Streaming Box (PS7 Cloud Hub) with AI-Assisted Lag Reduction

Storage:

No Internal Game Storage (Everything Runs via PlayStation ZeroCloud)

4TB Cloud-Synced SSD for System & Personal Data

Connectivity:

WiFi 7 & 6G Mobile Support for High-Speed Streaming

Quantum Encrypted Bluetooth 6.0 for Peripherals

Direct-to-Server Ethernet Optimization (AI-Managed Ping Reduction)

Form Factor:

Minimalist Digital Console Hub (Size of a Small Router)

No Disc Drive – Fully Digital & Cloud-Dependent

2. UI/UX Design (AI-Powered Cloud Interface)

NexusOS 1.0 (Cloud-Based AI UI): Personalized Dashboard Adapting to Player Preferences

ZeroNexus AI Assistant:

Predictive Game Recommendations

Smart Latency Optimization for Cloud Gaming

In-Game AI Strategy Coach

Instant Play Anywhere:

Seamless Cloud Save Syncing Across Devices

Playable on Console, PC, Tablet, or NexusPad Companion Device

Holographic UI Options (for AR Integration with Future PlayStation VR)

3. Concept Art & Industrial Design (Minimalist, Streaming-Focused)

Compact, Vertical-Standing Console (PS7 Cloud Hub)

Sleek, Heatless Design (No Heavy Internal Processing)

DualSense 2X Controller:

Cloud-Connected Haptics (Real-Time Adaptive Feedback)

AI-Touchscreen Interface for Quick Actions & Cloud Navigation

Self-Charging Dock (Wireless Power Transfer)

4. Software & Ecosystem (Full Cloud Gaming Integration)

PlayStation ZeroCloud (Sony’s Ultimate Cloud Gaming Service)

No Downloads, No Installs – Instant Play on Any Device

AI-Based 8K Upscaling & Adaptive Frame Rate

Cloud-Powered VR & AR Experiences

Cross-Platform Compatibility: PlayStation 7 Games Playable on PC, TV, & Mobile

Subscription-Based Ownership (Game Library Access Model with NFT Licensing for Exclusive Titles)

Eco-Friendly AI Resource Scaling: Low Power Consumption for Cloud Streaming

This design ensures ultra-fast, high-quality, cloud-first gaming while eliminating hardware limitations. Let me know if you want refinements or additional features!

[onewaveofficial]

EVM Compatible Blockchain 2025: The Backbone of Web3 Scalability & Innovation

As the Web3 ecosystem matures, 2025 is shaping up to be a transformative year, especially for EVM-compatible blockchains. These Ethereum Virtual Machine (EVM) compatible networks are no longer just Ethereum alternatives; they are becoming the foundation for a more connected, scalable, and user-friendly decentralized internet.

If you’re a developer, investor, or blockchain enthusiast, understanding the rise of EVM-compatible blockchains in 2025 could be the edge you need to stay ahead.

What is an EVM-compatible blockchain?

An EVM compatible blockchain is a blockchain that can run smart contracts and decentralized applications (dApps) originally built for Ethereum. These networks use the same codebase (Solidity or Vyper), making it easier to port or replicate Ethereum-based applications across different chains.

Think of it as the “Android of blockchain” — a flexible operating system that lets developers deploy applications without needing to rebuild from scratch

Why 2025 is the Breakout Year for EVM Compatible Blockchain?

1. Scalability & Speed Are No Longer Optional

In 2025, network congestion and high gas fees are still major pain points on Ethereum. EVM compatible blockchains like Polygon, BNB Chain, Avalanche, Lycan, and the emerging Wave Blockchain are providing faster throughput and significantly lower transaction costs. This allows dApps to scale without compromising performance or user experience.

2. Interoperability Becomes a Standard

Web3 is no longer about isolated blockchains. In 2025, cross-chain bridges and multichain apps are the norm. EVM compatible blockchains are leading this interoperability movement, enabling seamless asset transfers and data sharing between chains — without sacrificing security or decentralization.

3. DeFi, NFTs, and Gaming Demand EVM Compatibility

Whether it’s a DeFi protocol like Uniswap, an NFT marketplace, or a Web3 game, developers want platforms that support quick deployment, lower fees, and a large user base. EVM compatible blockchains offer all three. That’s why platforms like OneWave, a next-gen multichain ecosystem, are being natively built on EVM-compatible infrastructure to unlock full utility across DeFi, NFTs, GameFi, and beyond.

Key Benefits of Using an EVM Compatible Blockchain in 2025

Lower Development Costs: Developers can reuse Ethereum-based code, tools, and libraries.

Wider Audience Reach: Most wallets like MetaMask, and protocols support EVM chains out of the box.

Cross-Platform Utility: Launch on one chain, expand to others seamlessly.

Greater Liquidity & Ecosystem Integration: Easier to tap into existing DeFi liquidity pools and NFT communities.

The Future Outlook: What Comes Next?

As of 2025, the trend is clear: dApps will prefer chains that are fast, cheap, and EVM compatible. Ethereum’s dominance is no longer enough to guarantee loyalty. Instead, flexibility and performance are king.

With the rise of modular architectures, Layer 2s, and zkEVM rollups, the EVM ecosystem is expanding at an unprecedented pace. EVM compatibility isn’t just a feature anymore — it’s a requirement.

For more visit: www.onewave.app

[besttimeblogs]

Powering the Next Wave of Digital Transformation

In an era defined by rapid technological disruption and ever-evolving customer expectations, innovation is not just a strategy—it’s a necessity. At Frandzzo, we’ve embraced this mindset wholeheartedly, scaling our innovation across every layer of our SaaS ecosystem with next-gen AI-powered insights and cloud-native architecture. But how exactly did we make it happen?

Building the Foundation of Innovation

Frandzzo was born from a bold vision: to empower businesses to digitally transform with intelligence, agility, and speed. Our approach from day one has been to integrate AI, automation, and cloud technology into our SaaS solutions, making them not only scalable but also deeply insightful.

By embedding machine learning and predictive analytics into our platforms, we help organizations move from reactive decision-making to proactive, data-driven strategies. Whether it’s optimizing operations, enhancing customer experiences, or identifying untapped revenue streams, our tools provide real-time, actionable insights that fuel business growth.

A Cloud-Native, AI-First Ecosystem

Our SaaS ecosystem is powered by a cloud-native core, enabling seamless deployment, continuous delivery, and effortless scalability. This flexible infrastructure allows us to rapidly adapt to changing market needs while ensuring our clients receive cutting-edge features with zero downtime.

We doubled down on AI by integrating next-gen technologies from a bold vision that can learn, adapt, and evolve alongside our users. From intelligent process automation to advanced behavior analytics, AI is the engine behind every Frandzzo innovation.

Driving Digital Agility for Customers

Innovation at Frandzzo is not just about building smart tech—it’s about delivering real-world value. Our solutions are designed to help organizations become more agile, make smarter decisions, and unlock new growth opportunities faster than ever before.

We partner closely with our clients to understand their pain points and opportunities. This collaboration fuels our product roadmap and ensures we’re always solving the right problems at the right time.

A Culture of Relentless Innovation

At the heart of Frandzzo’s success is a culture deeply rooted in curiosity, experimentation, and improvement. Our teams are empowered to think big, challenge assumptions, and continuously explore new ways to solve complex business problems. Innovation isn’t a department—it’s embedded in our DNA.

We invest heavily in R&D, conduct regular innovation sprints, and stay ahead of tech trends to ensure our customers benefit from the latest advancements. This mindset has allowed us to scale innovation quickly and sustainably.

Staying Ahead in a Fast-Paced Digital World

The digital landscape is changing faster than ever, and businesses need partners that help them not just keep up, but lead. Frandzzo persistent pursuit of innovation ensures our customers stay ahead—ready to seize new opportunities and thrive in any environment.We’re not just building products; we’re engineering the future of business.

[govindhtech]

MediaTek Kompanio Ultra 910 for best Chromebook Performance

MediaTek Ultra 910

Maximising Chromebook Performance with Agentic AI

The MediaTek Kompanio Ultra redefines Chromebook Plus laptops with all-day battery life and the greatest Chromebooks ever. By automating procedures, optimising workflows, and allowing efficient, secure, and customised computing, agentic AI redefines on-device intelligence.

MediaTek Kompanio Ultra delivers unrivalled performance whether you're multitasking, generating content, playing raytraced games and streaming, or enjoying immersive entertainment.

Features of MediaTek Kompanio Ultra

An industry-leading all-big core architecture delivers flagship Chromebooks unmatched performance.

Arm Cortex-X925 with 3.62 GHz max.

Eight-core Cortex-X925, X4, and A720 processors

Single-threaded Arm Chromebooks with the best performance

Highest Power Efficiency

Large on-chip caches boost performance and power efficiency by storing more data near the CPU.

The fastest Chromebook memory: The powerful CPU, GPU, and NPU get more data rapidly with LPDDR5X-8533 memory support.

ChromeOS UX: We optimised speed to respond fast to switching applications during a virtual conference, following social media feeds, and making milliseconds count in in-game battle. Nowhere is better for you.

Because of its strong collaboration with Arm, MediaTek can provide the latest architectural developments to foreign markets first, and the MediaTek Kompanio Ultra processor delivers the latest Armv9.2 CPU advantage.

MediaTek's latest Armv9.2 architecture provides power efficiency, security, and faster computing.

Best in Class Power Efficiency: The Kompanio Ultra combines the 2nd generation TSMC 3nm technology with large on-chip caches and MediaTek's industry-leading power management to deliver better performance per milliwatt. The spectacular experiences of top Chromebooks are enhanced.

Best Lightweight and Thin Designs: MediaTek's brand partners can easily construct lightweight, thin, fanless, silent, and cool designs.

Leading NPU Performance: MediaTek's 8th-generation NPU gives the Kompanio Ultra an edge in industry-standard AI and generative AI benchmarks.

Prepared for AI agents

Superior on-device photo and video production

Maximum 50 TOPS AI results

ETHZ v6 leadership, Gen-AI models

CPU/GPU tasks are offloaded via NPU, speeding processing and saving energy.

Next-gen Generative AI technologies: MediaTek's investments in AI technologies and ecosystems ensure that Chromebooks running the MediaTek Kompanio Ultra provide the latest apps, services, and experiences.

Extended content support

Better LLM speculative speed help

Complete SLM+LLM AI model support

Assistance in several modes

11-core graphics processing unit: Arm's 5th-generation G925 GPU, used by the powerful 11-core graphics engine, improves traditional and raytraced graphics performance while using less power, producing better visual effects, and maintaining peak gameplay speeds longer.

The G925 GPU matches desktop PC-grade raytracing with increased opacity micromaps (OMM) to increase scene depths with subtle layering effects.

OMM-supported games' benefits:

Reduced geometry rendering

Visual enhancements without increasing model complexity

Natural-looking feathers, hair, and plants

4K Displays & Dedicated Audio: Multiple displays focus attention and streamline procedures, increasing efficiency. Task-specific displays simplify multitasking and reduce clutter. With support for up to three 4K monitors (internal and external), professionals have huge screen space for difficult tasks, while gamers and content makers have extra windows for chat, streaming, and real-time interactions.

DP MST supports two 4K external screens.

Custom processing optimises power use and improves audio quality. Low-power standby detects wake-up keywords, improving voice assistant response. This performance-energy efficiency balance improves smart device battery life, audio quality, and functionality.

Hi-Fi Audio DSP for low-power standby and sound effects

Support for up to Wi-Fi 7 and Bluetooth 6.0 provides extreme wireless speeds and signal range for the most efficient anyplace computing.

Wi-Fi 7 can reach 7.3Gbps.

Two-engine Bluetooth 6.0

[frank-olivier]

The Unseen Driver: Merck KGaA’s Behind-the-Scenes Impact on the Semiconductor World

Merck KGaA, a venerable company with a history spanning over 350 years, occupies a critical position in the semiconductor industry through its Electronics Business, led by CEO Kai Beckmann. With a background in Computer Science and Microelectronics, Beckmann's over 35 years of leadership within the company have equipped him with a deep understanding of the industry's intricacies. Merck KGaA's role in providing specialized materials and technologies for semiconductor manufacturing is foundational, supporting all top 100 semiconductor companies, including those with fabrication plants and fabless entities, as well as tool companies offering integrated solutions.

The company's contributions are not merely supplementary but constitute the building blocks of semiconductor architecture, including crucial layers on silicon substrates for insulation, conduction, and more. This multifaceted support underscores Merck KGaA's indispensable position in the industry. The current AI-driven surge in demand for sophisticated chips, particularly evident in data center applications and the training of large language models, has significantly boosted the company's growth trajectory. As AI's influence expands beyond data centers to edge devices, such as smartphones, in the form of Edge AI, the demand for Merck KGaA's advanced materials and technologies is expected to escalate further.

Navigating the semiconductor industry's complex dynamics, characterized by a historically cyclical nature now complicated by asynchronous technology cycles, requires foresight and adaptability. Merck KGaA is well-positioned to meet these challenges, leveraging its extensive experience and commitment to innovation. The integration of AI into material science, to accelerate the discovery of new materials, exemplifies the company's proactive approach. This strategic deployment of AI, both as a driver of demand and a tool for innovation, highlights Merck KGaA's pivotal role in shaping the industry's future.

As the industry evolves, with Edge AI poised to potentially redefine production and research paradigms, Merck KGaA's expertise will be crucial in addressing the heightened need for sophisticated materials. The company's ability to balance the stability afforded by its 70% family ownership with the agility of a publicly traded entity, listed on the German DAX index, further enhances its capacity to respond effectively to emerging trends. Through its innovative spirit, deep industry knowledge, and strategic adaptability, Merck KGaA is not only navigating the transformative impact of AI on the semiconductor industry but also playing a defining role in its future trajectory.

Kai Beckmann: Why Next-Gen Chips Are Critical for AI's Future (Eye on AI, December 2024)

Thursday, December 5, 2024

[purple-slate]

Hallucinating LLMs — How to Prevent them?

As ChatGPT and enterprise applications with Gen AI see rapid adoption, one of the common downside or gotchas commonly expressed by the GenAI (Generative AI) practitioners is to do with the concerns around the LLMs or Large Language Models producing misleading results or what are commonly called as Hallucinations.

A simple example for hallucination is when GenAI responds back with reasonable confidence, an answer that doesn’t align much with reality. With their ability to generate diverse content in text, music and multi-media, the impact of the hallucinated responses can be quite stark based on where the Gen AI results are applied.

This manifestation of hallucinations has garnered substantial interest among the GenAI users due to its potential adverse implications. One good example is the fake citations in legal cases.

Two aspects related to hallucinations are very important.

1) Understanding the underlying causes on what contributes to these hallucinations and

2) How could we be safe and develop effective strategies to be aware, if not prevent them 100%

What causes the LLMs to hallucinate?

While it is a challenge to attribute to the hallucinations to one or few definite reasons, here are few reasons why it happens:

Sparsity of the data. What could be called as the primary reason, the lack of sufficient data causes the models to respond back with incorrect answers. GenAI is only as good as the dataset it is trained on and this limitation includes scope, quality, timeframe, biases and inaccuracies. For example, GPT-4 was trained with data only till 2021 and the model tended to generalize the answers from what it has learnt with that. Perhaps, this scenario could be easier to understand in a human context, where generalizing with half-baked knowledge is very common.

The way it learns. The base methodology used to train the models are ‘Unsupervised’ or datasets that are not labelled. The models tend to pick up random patterns from the diverse text data set that was used to train them, unlike supervised models that are carefully labelled and verified.

In this context, it is very important to know how GenAI models work, which are primarily probabilistic techniques that just predicts the next token or tokens. It just doesn’t use any rational thinking to produce the next token, it just predicts the next possible token or word.

Missing feedback loop. LLMs don’t have a real-time feedback loop to correct from mistakes or regenerate automatically. Also, the model architecture has a fixed-length context or to a very finite set of tokens at any point in time.

What could be some of the effective strategies against hallucinations?

While there is no easy way to guarantee that the LLMs will never hallucinate, you can adopt some effective techniques to reduce them to a major extent.

Domain specific knowledge base. Limit the content to a particular domain related to an industry or a knowledge space. Most of the enterprise implementations are this way and there is very little need to replicate or build something that is closer to a ChatGPT or BARD that can answer questions across any diverse topic on the planet. Keeping it domain-specific also helps us reduce the chances of hallucination by carefully refining the content.

Usage of RAG Models. This is a very common technique used in many enterprise implementations of GenAI. At purpleSlate we do this for all the use cases, starting with knowledge base sourced from PDFs, websites, share point or wikis or even documents. You are basically create content vectors, chunking them and passing it on to a selected LLM to generate the response.

In addition, we also follow a weighted approach to help the model pick topics of most relevance in the response generation process.

Pair them with humans. Always. As a principle AI and more specifically GenAI are here to augment human capabilities, improve productivity and provide efficiency gains. In scenarios where the AI response is customer or business critical, have a human validate or enhance the response.

While there are several easy ways to mitigate and almost completely remove hallucinations if you are working in the Enterprise context, the most profound method could be this.

Unlike a much desired human trait around humility, the GenAI models are not built to say ‘I don’t know’. Sometimes you feel it was as simple as that. Instead they produce the most likely response based on the training data, even if there is a chance of being factually incorrect.

Bottomline, the opportunities with Gen AI are real. And, given the way Gen AI is making its presence felt in diverse fields, it makes it even more important for us to understand the possible downsides.

Knowing that the Gen AI models can hallucinate, trying to understand the reasons for hallucination and some reasonable ways to mitigate those are key to derive success. Knowing the limitations and having sufficient guard rails is paramount to improve trust and reliability of the Gen AI results.

This blog was originally published in: https://www.purpleslate.com/hallucinating-llms-how-to-prevent-them/

[precisiotech]

How to Optimize Mobile Applications for 6G Networks: The Future of Connectivity

Introduction

Moving from 4G to 5G, the generation of mobile networks offered faster speed and less latency and now there is discussion about 6G. Claiming ultra-high speed, almost negligible latency, and superior connection, 6G will revolutionize the way applications work. For the end users this implies that the applications need to evolve to properly harness on all the potential of 6G. Here’s how you can make your mobile applications ready for the future of connectivity with 6G networks.

Key Strategies for Optimizing Mobile Applications for 6G Networks

1. Understand 6G’s Capabilities

Faster Speeds: Imminent 6G apps of 1 Tbps are expected to make ways to enable apps that could handle large data transfers with ease.

Ultra-Low Latency: The expected latency range will be as low as 1 millisecond, and this makes the flow of applications to be responsive at real-time.

Massive Connectivity: 6G will offer billions of connected devices per square kilometer making it perfect for IoT enhanced services.

What to Do: Understand the following features and optimized the application behavior in the high speed data, real time data processing, and large numbers of concurrent connection.

2. Implement AI and Machine Learning

Dynamic Optimization: It can also change the app settings in accordance with the network status.

Enhanced User Experience: Users can be informed by machine learning and their response can be predicted, which makes the interaction with them more smooth and efficient.

Resource Management: Improve resource usage for devices and network and also increase the chance to perform faster and save more energy.

How to Adapt: Integrate AI-driven analytics and automated decision-making into your app’s core functionality.

3.Optimize through Edge Computing

Decentralized Processing: In 6G, edge computing will enhance the performance of the multi-access edge applications since it will process the data nearer to the end-user.

Enhanced Security: Data processing carried locally reduces vulnerability during transfer to other systems or servers.

Best Practices: Create design solutions to leave certain computations to edge servers especially when they require many resources.

4. Optimize for Minimum Energy

Energy Efficiency:6G consumer devices will require applications that are power efficient so that power to the batteries can be conserved.

Sustainability:Less power usage in our product corordinates with the noble aspiration to create green technology across the globe.

Actionable Steps: Optimize code, minimize background operations, and use energy-efficient APIs to ensure low power usage.

5. Optimize for Mixed Reality (MR) and Extended Reality (XR)

Next-Gen Experiences: s: 6G will make technology such as AR/VR and holographic communications possible.

Seamless Interactivity:An application must be capable of processing high-quality graphics of screens and must have the ability of real time interaction.

How to Prepare:

How to Prepare: Develop apps compatible with MR and XR platforms, ensuring smooth rendering and responsiveness.

6. Focus on Enhanced Security Protocols

More Devices, More Risks: The proliferation of connected devices also implies that more connected points means more possible local vulnerabilities.

Data Integrity: Apps are required to provide secure data interconnectivity in high speed devices.

Security Measures: Integrate high-level end-to-end encryption, multi-factor authentication, and AI-based threat identification into your app.

7. Integrate Cloud-Native Architecture

Scalability: 6G environment will be highly suitable for cloud-native apps as these apps will exhibit strong adaptability to handle more data and users.

Improved Reliability: Microservices and containerization of the architecture will aid in improving the performance of the apps.

Implementation Tip: Migrate to the cloud-native through application of managed services such as Kubernetes, serverless computing.

READ MORE- https://www.precisio.tech/how-to-optimize-mobile-applications-for-6g-networks-the-future-of-connectivity/

[skyfallights]

FinFET Technology Market Size Elevating Semiconductor Performance to New Heights

The FinFET Technology Market Size marks a significant milestone in semiconductor fabrication, offering higher performance, lower power consumption, and enhanced scalability compared to traditional planar transistors. With devices shrinking to sub-10 nm nodes, the introduction of FinFETs—transistors featuring a 3D fin structure—has become pivotal for sustaining Moore's Law. These advancements are redefining computing, cellular, automotive, and edge AI applications.

According to Market Size Research Future, global FinFET technology is projected to grow significantly by 2030, driven by increasing demand for high-performance ASICs, 5G infrastructure, and AI accelerators. The shift toward smaller process nodes and energy-efficient designs continues to fuel investment across foundries and OEMs.

Overview of FinFET Technology

FinFET (Fin Field-Effect Transistor) represents a 3D transistor family designed for low leakage and efficient switching at nanometer-scale nodes. By wrapping a thin silicon fin around the gate, FinFETs improve electrostatic control and reduce short-channel effects—critical for modern chip performance.

You'll find FinFETs at the core of system-on-chip (SoC) architectures powering smartphones, high-speed computing, networking hardware, and high-throughput mobile devices. Applications span from Qualcomm's Snapdragon processors to Nvidia’s Ampere GPUs, as both industries prioritize performance-per-watt and thermal limits.

Key Growth Drivers

Advanced Process Node Demand The continuous scaling to 7 nm, 5 nm, and beyond requires FinFETs to maintain channel control, reduce leakage, and boost transistor density.

5G and Networking Infrastructure Infrastructure equipment—like RF front-end modules and baseband SoCs—rely on FinFETs to support high frequencies and low power under elevated thermal loads.

AI Accelerators & Edge Compute FinFETs offer the transistor scaling needed to maintain performance gains in data centers and energy-efficient edge AI processors.

Automotive and Industrial Electronics With automotive electronics requiring high reliability and low power, FinFET integration in ADAS, radar, and EV power components is rising sharply.

Market Size Segmentation

By Node Range: 14 nm & below / 10 nm–7 nm / 5 nm and below

By Transistor Type: High Performance (HP), Low Leakage (LO), High Voltage (HV)

By End‑User: Smartphones, Data Centers, 5G Infrastructure, Automotive, Defense & Aerospace, Consumer Electronics, Industrial IoT

Regional Dynamics

Asia-Pacific leads due to TSMC, Samsung, and Chinese foundries aggressively ramping advanced nodes.

North America excels in design leadership through companies like Intel and Nvidia, including advanced integration of FinFETs in HPC and AI chips.

Europe focuses on automotive-grade FinFETs, with contributions from Infineon and STMicroelectronics in the energy and mobility sectors.

Key Industry Players

TSMC – Dominant pure-play foundry with leadership in high-volume 5 nm and 3 nm FinFET production.

Samsung Foundry – Offers advanced FinFET nodes and innovative packaging through SoC integration.

Intel – Transitioning to FinFET and gate-all-around architectures in its IDM 2.0 strategy.

GlobalFoundries, UMC, and SMIC – Deliver mature FinFET nodes for automotive, industrial, and mid-range SoCs.

Cadence, Synopsys, Mentor (Siemens) – Provide EDA tools for FinFET-based design, modeling, and verification.

ARM, Qualcomm, Broadcom, Nvidia – Utilize FinFET technologies in their SoC portfolio.

Emerging Trends

Gate-All-Around (GAA) Evolution – Next-gen FETs transition from FinFET towards GAA structures (e.g., nanosheet), extending device scaling.

2.5D/3D Chiplets & Heterogeneous Packaging – Integrating FinFET chips via advanced interconnects for modular, multi-die systems.

Beyond FinFET – Research into nanosheet, nanowire transistors, and monolithic 3D stacking is progressing rapidly to sustain scaling.

AI/ML for Process Control – real-time analytics optimize yields and lower defects in FinFET production.

Challenges Ahead

Rising manufacturing costs at sub-5 nm nodes, requiring ROI over large orders.

Thermal management and interconnect resistance, demanding advanced packaging materials and cooling solutions.

Design complexity, requiring sophisticated EDA tools and IP for timing and variability control.

Geopolitical constraints and supply chain uncertainties necessitating diversification and capacity investment.

Future Outlook

FinFET technology will remain dominant through the 2025–2028 horizon, enabling cutting-edge applications in AI, 5G, and edge computing. The transition to GAA and further miniaturization promises continued performance gains. With increasing investment in specialized FinFET fabs and design platforms, this evolution supports the growing demands of intelligent, connected devices.

Related Insights

Explore adjacent technology fields shaping chip innovation:

Radar Lidar Technology for Railway Applications Market Size

Quadruped Robot Market Size

Oxygen Gas Sensor Market Size

E‑Tailing Solution Market Size

Consumer Electronics Mini LED Market Size

D‑Shaped Connector Market Size

Debris Extraction Tool Market Size

Diaper Attachment Sensor Market Size

Digital Holographic Display Market Size

Digital Photo Printing Market Size

Discrete Graphics Microprocessor and GPU Market Size

Diving Compressor Market Size

Explosion Proof Mobile Communication Device Market Size

[fantasticgentlemensweets]

CyberSecurity Solutions & Services in the Middle East | Paramount

In today’s hyperconnected digital world, cybersecurity is not just a technical necessity — it's a critical component of business resilience and continuity. As digital transformation accelerates across the Middle East, organizations face increasingly sophisticated threats to their data, systems, and operations. That’s where Paramount comes in — a trusted leader in delivering comprehensive cybersecurity solutions and services across the region.

Why Cybersecurity Matters More Than Ever

The Middle East has become a growing hub for innovation, smart cities, fintech, and digital infrastructure. While this evolution brings tremendous opportunity, it also exposes organizations to new vulnerabilities. From ransomware attacks and data breaches to insider threats and compliance challenges, the cybersecurity landscape is constantly evolving.

A robust security framework is essential not only to defend against these threats but also to ensure trust, regulatory compliance, and business continuity.

Paramount: Pioneering Cybersecurity Excellence

Paramount stands at the forefront of cybersecurity in the Middle East, offering end-to-end security solutions tailored to meet the unique needs of each client. With decades of experience and a team of certified cybersecurity experts, Paramount empowers governments, enterprises, and critical infrastructure sectors to secure their digital environments.

Our Core Cybersecurity Services

1. Cybersecurity Strategy & Governance We help organizations build a solid security foundation through strategic planning, policy development, risk assessment, and governance frameworks aligned with global standards such as ISO 27001, NIST, and more.

2. Managed Security Services (MSS) Our round-the-clock security operations centers (SOCs) monitor, detect, and respond to threats in real-time, minimizing risk and downtime.

3. Network & Infrastructure Security From next-gen firewalls to secure cloud and on-premise infrastructure, we provide robust protection against external and internal threats.

4. Identity & Access Management (IAM) Paramount implements advanced IAM solutions that control and monitor who has access to your systems, ensuring the right people have the right access at the right time.

5. Data Protection & Privacy We help safeguard sensitive data across your organization, enabling compliance with global and regional data protection regulations like GDPR and local data laws in the GCC.

6. Incident Response & Threat Intelligence In the event of a breach, our team is equipped to respond swiftly and effectively, minimizing damage and restoring normal operations with actionable intelligence and remediation plans.

Industries We Serve

Our cybersecurity solutions are trusted across various sectors, including:

Government & Public Sector

Banking & Financial Services

Energy & Utilities

Healthcare & Pharma

Telecommunications

Retail & E-commerce

Each industry faces unique security challenges, and Paramount offers customized approaches to address these specific needs.

Why Choose Paramount?

Regional Expertise: Deep understanding of the Middle East’s regulatory landscape, cultural dynamics, and security needs.

Certified Professionals: Our cybersecurity team includes CISSPs, ethical hackers, risk managers, and other highly qualified experts.

Proven Track Record: Decades of success in securing mission-critical systems for leading organizations across the region.

Innovative Solutions: We leverage cutting-edge technologies like AI, machine learning, and zero-trust architecture to stay ahead of evolving threats.

Secure Your Future with Paramount

As digital transformation accelerates, the need for advanced cybersecurity has never been more urgent. Paramount is your trusted partner in building a resilient, secure, and future-ready organization.

Whether you are fortifying your IT infrastructure, ensuring compliance, or mitigating emerging threats — Paramount has the expertise, tools, and dedication to protect what matters most.

[technoclean1]

Drone Cleaning Takes Flight: Transforming Sydney’s Commercial and Industrial Maintenance

Sydney’s ever-evolving urban landscape—home to soaring skyscrapers, expansive industrial precincts, and architecturally rich buildings—is experiencing a technological breakthrough in property maintenance. Drone cleaning services are fast becoming a preferred solution for maintaining hard-to-reach surfaces across the city. From the heart of the CBD to solar farms in Western Sydney, drones are reshaping how businesses approach safety, efficiency, and sustainability in commercial and industrial cleaning Sydney.

Why Drone Cleaning Is Soaring in Sydney

In a metropolis filled with multi-storey buildings, sprawling malls, and complex warehouse facilities, traditional cleaning approaches—like scaffolding or rope access—pose significant challenges. These methods are not only labour-intensive but also costly and risky.

Drone-assisted cleaning introduces a more intelligent and streamlined solution. Equipped with high-performance pressure nozzles, rotating brushes, and environmentally safe cleaning agents, drones can access rooftops, glass façades, solar panels, cladding, and signage—completing the task swiftly and without the need for intrusive equipment.

Top Benefits of Drone Cleaning for Sydney’s Built Environment

1. Enhanced Workplace Safety

With stringent OH&S standards across New South Wales, companies are actively seeking ways to reduce on-site risks. Drone cleaning eliminates the need for workers to scale dangerous heights, helping minimise fall-related injuries and insurance concerns.

2. Significant Cost Reduction

Removing the need for cranes, harness systems, or scaffold hire slashes operational costs. For facilities and property managers across Sydney, this translates to greater value and better allocation of maintenance budgets.

3. Faster Turnaround with Minimal Interference

Drone operations are rapid and quiet, making them ideal for high-traffic commercial districts where minimal disruption is vital. Cleaning jobs that used to take days can now be completed in hours—without cordoning off public spaces.

4. Sustainable Cleaning Practices

Sydney’s growing push toward eco-conscious solutions finds a strong ally in drone cleaning. Using less water and biodegradable solutions, these systems are not only efficient but also environmentally responsible.

Where Drones Are Making a Difference in Sydney

Sydney’s diverse architectural mix presents unique cleaning challenges. Thankfully, drones are versatile enough to handle a wide range of applications across:

Office towers and high-rises in the CBD

Heritage buildings in areas like The Rocks and Millers Point

Retail centres and universities

Hospitals and government buildings

Skylights, awnings, and building signage

Drone services are particularly valuable for solar panel cleaning, especially on commercial rooftops, where consistent performance relies on the removal of dust and debris.

Drones in the Industrial Hubs of Sydney

Sydney’s industrial areas—from Wetherill Park and Eastern Creek to Port Botany and Alexandria—host large warehouses, production facilities, and fuel storage tanks. These often require regular cleaning to prevent buildup of grime, soot, or corrosive substances.

Drones simplify this task by:

Operating around the clock without halting production

Reaching confined or vertical spaces with ease

Delivering real-time video inspection during cleaning

Reducing manpower and related risk exposure

This makes them ideal for factories, logistics centres, energy plants, and processing facilities that prioritise both hygiene and operational uptime.

Smart Technology Behind Sydney’s Drone Cleaning Boom

Sydney-based providers are harnessing next-gen UAV tech to ensure precision, safety, and accountability. Many drones now feature:

GPS-based autonomous navigation

Obstacle-detection systems for collision avoidance

Live video feed for remote monitoring

Thermal imaging and data analytics

Cloud reporting with time-stamped cleaning logs

These features not only enable effective cleaning but also offer building managers valuable insights for preventative maintenance and infrastructure assessment.

Operating Within Legal Skies: Regulations in Sydney

All drone activity in Sydney must comply with CASA (Civil Aviation Safety Authority) guidelines. Trusted drone cleaning companies operate with certified UAV pilots and adhere to airspace restrictions—particularly around Sydney Kingsford Smith Airport and densely populated zones.

Proper permits, safety planning, and airspace awareness are essential for legal and professional operation—ensuring peace of mind for clients and the public.

Eco-Friendly by Design

Sydney’s emphasis on sustainability is well aligned with the drone cleaning model. Environmentally conscious features include:

Low water consumption with precision nozzles

Use of biodegradable, non-toxic detergents

Battery-operated drones with zero direct emissions

Minimal surface runoff compared to manual pressure cleaning

Businesses pursuing Green Star building certifications or corporate ESG targets are increasingly turning to drone services as a modern, green alternative to traditional maintenance.

What’s Next for Drone Cleaning in Sydney?

Drone cleaning is only just beginning to show its full potential in Sydney. With increased awareness and technological improvements, future developments may include:

AI-enhanced drones that adapt to different surface types in real time

Integration with smart building systems (BMS) for routine maintenance scheduling

Dual-purpose drones for simultaneous inspection and cleaning tasks

Machine learning algorithms for predictive cleaning based on pollution levels or weather patterns

As Sydney’s urban density grows and maintenance demands increase, drone services are poised to become an integral part of every facility manager’s toolkit.

Conclusion: Redefining Clean in Sydney’s Skyline

Drone cleaning services are changing the way Sydney maintains its buildings and infrastructure. Merging innovation, efficiency, and sustainability, this technology is not just a trend—it’s a solution built for modern cities. Whether it's a solar array in Western Sydney, a high-rise in Barangaroo, or a logistics hub near the airport, drones are proving to be the safer, smarter, and greener choice.

As businesses and councils strive for higher standards in property care, drone cleaning is helping Sydney look better—without ever setting foot on a ladder.

[usafphantom2]

U.S. Air Force Considers ‘Expanded’ Role for B-21 Raider Amid NGAD Review

Parth Satam

B-21 expanded role

As part of the review of its future air superiority concept, the U.S. Air Force is evaluating a larger role for the B-21 Raider. The size of the fleet on order, however, is set to stay at 100 aircraft, at least for the time being and until the ongoing review of the NGAD continues.

Amid a review of the technically complex and astronomically pricey sixth generation NGAD (Next Generation Air Dominance), the U.S. Air Force is considering an expanded role for the B-21 Raider. U.S. Air Force chief General David Allvin’s comments to journalists during the Military Reporters and Editors conference on Oct. 25, 2024, suggested what could be translated as new air dominance and air-to-air missions for the Raider.

As part of the review of its future air superiority concept, the U.S. Air Force is evaluating a larger role for the B-21 Raider. The size of the fleet on order, however, is set to stay at 100 aircraft, at least for the time being and until the ongoing review of the NGAD continues.‘Not ruling out dominance role for B-21 Raider’How will a Raider work in an air-to-air role?Radar-killing rolesMore B-21s?

The Northrop Grumman-developed strategic bomber, meant to replace the B-2 Spirit and the B-1B Lancer, has also been described as the world’s first sixth generation aircraft. The service has announced it would order 100 units of the B-21, with various estimates putting the price tag over $780 million per aircraft. In June, Northrop Grumman and the government negotiated a “not-to-exceed” price for the additional 19 aircraft, which is more than the average unit price of the first five LRIP (Low-Rate Initial Production) lot of 21 aircraft.

The NGAD, considered a replacement for the F-22, is usually described as a “family of systems,” including the crewed aircraft as well as autonomous, unmanned ‘wingmen’ drones for ISR, decoy or strike missions and other disaggregated capabilities. Called CCAs (Collaborative Combat Aircraft), these drones are considered part of the family of systems, and are funded as an integral element of the NGAD program.

However, reports since this summer have revealed a relook towards the NGAD program, whose manned aircraft are estimated to cost $300 million apiece, while also balancing the B-21 Raider and the Sentinel ICBM. The NGAD figure is almost three times that of an F-35, whose price is between $80 and $100 million apiece.

‘Not ruling out dominance role for B-21 Raider’

According to Air Force Times, the Raider “could end up having a larger role in the Air Force’s plans for future air dominance, as the service rethinks its plans for an advanced sixth-generation fighter.” Responding to a question by the publication whether the NGAD’s ongoing review would mean a prominent role for the B-21 in the air dominance role, Gen. Allvin said: “We have not taken that off the table.”

Allvin did not explicitly state either air dominance or air-to-air combat roles. However, given the context of the question, he might have alluded to that possibility. For now, the bomber, which has advanced data linking technologies and features open architecture and digital engineering for rapid upgrades and repairs, would appear to be limited to strategic airborne conventional and nuclear strike roles, with the dominance role subject to the NGAD review.

Interestingly, this is also not the first time that the Air Force has implied a possible air-dominance role for the B-21 Raider. In a Sep. 2019 interview to Air and Space Forces Magazine, then Maj. Gen. Scott Pleus said: “If we were to characterize it as a fighter, we would be thinking too narrowly about what kind of airplane we need in a highly contested environment.”

“A B-21 that also has air-to-air capabilities” and the ability “to work with the family of systems to defend itself, utilizing stealth – maybe that’s where the sixth-generation airplane comes from,” Pleus, at the time the Pacific Air Forces Director of Air and Cyber Operations, told ASF.

Pleus’ comments could also serve to address the ongoing – and still inconclusive – theoretical debate about what constitutes a sixth generation jet. Nevertheless, there is no reason it might not serve to define the capabilities and missions of what is officially described as the world’s first sixth generation aircraft.

B-21 Raider

The B-21 Raider is a high-tech nuclear-capable stealth bomber designed with future modernization in mind to ensure the aircraft and technology are able to evolve throughout time and threat changes. (Photo: Travis Burcham via Airman Magazine)

How will a Raider work in an air-to-air role?

An air-to-air role for the B-21 Raider, if that is what means “expanded” role as per Allvin, could be similar to the arsenal plane concept envisaged for the C-17 Globemaster III, B-52H Stratofortress or the B-1B Lancer bomber. The heavy-carrying planes, generally flying in formation, would simply release volleys of air-launched standoff land-strike cruise missiles to overwhelm air defenses and take out critical land targets. The Rapid Dragon is one such concept envisioned for the U.S. Air Force’s cargo fleet, firing the AGM-158 JASSM (Joint Air-to-Surface Standoff Missile).

In an air-to-air role, the B-21 Raider could carry ultra-long range AAMs (Air-to-Air Missiles) like the secretive AIM-260 JATM (Joint Advanced Tactical Missile), once it is fielded, for engaging large formations of enemy fighters. The goal might not be necessarily to shoot them down, but perhaps to keep them in a self-defensive stance and force them to perform evasive maneuvers, eating away time from core combat tasks.

Radar-killing roles

The ‘expanded’ role might also involve the Raider firing swarms of radar-baiting decoys or other munitions in SEAD/DEAD missions. This hypothesis follows the sparse official descriptions of the B-21 having advanced sensor fusion and data processing and implying an AD (Air Defense) breaching role for standoff strikes. That electromagnetic sensing and computing power could also be extended for radar-killing with own on-board munitions.

A previous report about supporting infrastructure for the B-21 Raider, which involved fuel cell maintenance bays, suggested how the powerful power-generation devices on-board could be used for these very sensors that would require massive amounts of energy.

Moreover, SEAD/DEAD weapons like the AGM-88 HARM (High-Speed Anti-Radiation Missile), AGM-88E AARGM (Advanced Anti-Radiation Guided Missile) or even the MALD (Miniature Air-Launched Decoys) paired with the Raider’s immensely powerful sensors would be a lethal combination for China’s integrated air defense network. Of course, it remains to be seen if these munitions would be carried by the Raider or the CCAs that would be flying alongside it.

In fact, the bomber’s internal racks and launchers would possibly be only for land-strike munitions and would have to be swapped out for AAM or SEAD/DEAD ones. However, it is still unknown what and how much the B-21’s bays can carry, given how both Northrop Grumman and the USAF have been extremely secretive about its technical specifications.

How the USAF repurposes the Raider for a non-core strategic bombing role remains to be seen. Until then, the next few months would show if the service’s ongoing review of the NGAD might or might not have a relationship with the B-21.

B-21 Northrop Grumman new photo

The air-to-air image of the B-21 released by Northrop Grumman. (Image credit: Northrop Grumman)

More B-21s?

While Gen. Allvin did not mention further B-21 acquisitions and Air Force officials said that 100 Raiders are sufficient to the current operational needs, Northrop Grumman CEO Kathy Warden commented that the service might be looking at reconsidering the final number of the bombers. In fact, Air Force Secretary Frank Kendall said that the service is looking at options to increase the force size as part of the force structure design review.

The Secretary has specifically mentioned NGAD, however Warden said the B-21 “is in the mix as well.” “It would be premature for me to suggest where that force structure review will end up,” said Warden. “But I do think in the coming months, we may get a better indication from the Air Force as to how they’re thinking about B-21 quantities in the long run.”

@TheAviationist.com

Should the service decide to increase the number of the new bombers, Warden said Northrop Grumman stands ready to increase B-21 production. The CEO also mentioned she expects the Air Force to award a second LRIP contract by the end of the year.

[semiconductorlogs]

HBM2 DRAM Market: Competitive Landscape and Key Players 2025–2032

MARKET INSIGHTS

The global HBM2 DRAM Market size was valued at US$ 2.84 billion in 2024 and is projected to reach US$ 7.12 billion by 2032, at a CAGR of 12.2% during the forecast period 2025-2032.

HBM2E (High Bandwidth Memory 2E) is an advanced DRAM technology designed for high-performance computing applications. As the second generation of HBM standard, it delivers exceptional bandwidth capabilities up to 460 GB/s per stack, supporting configurations of up to 8 dies per stack with 16GB capacity. This cutting-edge memory solution stacks DRAM dies vertically using through-silicon vias (TSVs) for unprecedented speed and efficiency.

The market growth is primarily driven by increasing demand from artificial intelligence, machine learning, and high-performance computing applications. While servers dominate the application segment with over 65% market share, networking applications are witnessing rapid adoption. Technological advancements by industry leaders including Samsung and SK Hynix, who collectively hold approximately 85% of the market share, continue to push performance boundaries. Recent developments include Samsung's announcement of 8-layer HBM2E with 16GB capacity and 410GB/s bandwidth, while SK Hynix has achieved 460GB/s speeds in its premium offerings.

MARKET DYNAMICS

MARKET DRIVERS

Rising Demand for High-Bandwidth Applications in AI and HPC to Fuel Market Growth

The explosive growth of artificial intelligence (AI) and high-performance computing (HPC) applications is driving unprecedented demand for HBM2E DRAM solutions. These cutting-edge memory technologies deliver bandwidth capabilities exceeding 460 GB/s, making them indispensable for training complex neural networks and processing massive datasets. The AI accelerator market alone is projected to grow at over 35% CAGR through 2030, with data center investments reaching record levels as enterprises embrace machine learning at scale. HBM2E's 3D-stacked architecture provides the necessary throughput to eliminate memory bottlenecks in next-gen computing architectures.

Advancements in Semiconductor Packaging Technologies Create New Opportunities

The development of advanced packaging solutions like 2.5D and 3D IC integration is enabling broader adoption of HBM2E across diverse applications. Major foundries have reported a 50% increase in demand for chiplet-based designs that incorporate HBM memory stacks. This packaging revolution allows HBM2E to be tightly integrated with processors while maintaining signal integrity at extreme bandwidths. The emergence of universal chiplet interconnect standards has further accelerated design cycles, with several leading semiconductor firms now offering HBM2E-integrated solutions for datacenter, networking, and high-end computing applications.

Increasing Data Center Investments Stimulate Demand for Memory Performance

With global hyperscalers allocating over 40% of their infrastructure budgets to AI/ML capabilities, HBM2E is becoming a critical component in next-generation server architectures. The memory's combination of high density (up to 24GB per stack) and exceptional bandwidth significantly reduces data transfer latency in large-scale deployments. This advantage is particularly valuable for real-time analytics, natural language processing, and scientific computing workloads where memory subsystem performance directly impacts total system throughput.

MARKET RESTRAINTS

High Manufacturing Complexity and Cost Constraints Limit Mass Adoption

The sophisticated 3D stacking process required for HBM2E production presents significant manufacturing challenges that restrain market expansion. Each stack involves precisely bonding multiple memory dies with thousands of through-silicon vias (TSVs), a process that currently yields below 70% for premium configurations. This manufacturing complexity translates to costs nearly 3-4× higher than conventional GDDR memory, making HBM2E cost-prohibitive for many mainstream applications. While prices are expected to decline as production scales, the technology remains constrained to premium segments where performance outweighs cost considerations.

Other Restraints

Thermal Management Challenges The high-density packaging of HBM2E creates substantial thermal dissipation challenges that complicate system design. With power densities exceeding 500mW/mm² in some configurations, effective cooling solutions can add 15-20% to total system costs. These thermal constraints have led to specialized cooling requirements that limit deployment scenarios.

Supply Chain Vulnerabilities The concentrated supply base for advanced memory packaging creates potential bottlenecks. With only a handful of facilities worldwide capable of high-volume HBM production, any disruption could significantly impact market availability.

MARKET CHALLENGES

Design Complexity Poses Integration Hurdles for System Architects

Implementing HBM2E in real-world systems requires addressing multiple signal integrity and power delivery challenges. The ultra-wide interfaces operating at 3.2 Gbps/pin demand sophisticated PCB designs with tight impedance control and advanced power distribution networks. These requirements have led to development cycles that are typically 30% longer than conventional memory implementations, discouraging adoption among cost-sensitive OEMs. Furthermore, the ecosystem for design tools and IP supporting HBM2E remains nascent, requiring specialized engineering expertise that is in short supply across the industry.

Competition from Alternative Memory Technologies Creates Market Uncertainty

Emerging memory technologies like GDDR6X and CXL-based architectures are beginning to erode HBM2E's performance advantage in certain applications. GDDR6X now offers over 1 TB/s of bandwidth in some configurations at significantly lower cost points for applications that can tolerate higher latency. Meanwhile, Compute Express Link (CXL) enables disaggregated memory architectures that provide flexibility advantages for certain cloud workloads. While HBM2E maintains superiority in bandwidth-intensive applications, these alternatives are creating market segmentation challenges.

MARKET OPPORTUNITIES

Automotive and Edge AI Applications Present Untapped Growth Potential

The surging demand for autonomous vehicle computing and edge AI processing is creating new markets for high-performance memory solutions. While currently representing less than 5% of HBM2E deployments, automotive applications are projected to grow at nearly 60% CAGR as Level 4/5 autonomous systems require real-time processing of multiple high-resolution sensors. The technology's combination of high bandwidth and power efficiency makes it particularly suitable for in-vehicle AI accelerators where thermal and spatial constraints are paramount.

Next-Gen HBM3 Standard to Drive Refresh Cycles and Upgrade Opportunities

The impending transition to HBM3 technology, offering bandwidth exceeding 800 GB/s, is creating opportunities for OEMs to develop upgrade paths and migration strategies. Early adoption in high-end servers and supercomputing applications demonstrates the potential for performance doubling while maintaining backward compatibility. This transition cycle presents vendors with opportunities to offer value-added design services and memory subsystem co-optimization solutions.

HBM2E DRAM MARKET TRENDS

High-Performance Computing Demand Accelerating HBM2E Adoption

The rapid expansion of artificial intelligence (AI), machine learning, and cloud computing has created unprecedented demand for high-bandwidth memory solutions like HBM2E. With a maximum bandwidth of 460 GB/s per stack, this next-generation memory technology is becoming indispensable for data centers handling complex workloads. Over 65% of AI accelerators are expected to incorporate HBM technology by 2026, driven by its ability to process massive datasets efficiently. The 8G and 16G variants are seeing particular adoption in GPU-accelerated systems, where memory bandwidth directly impacts deep learning performance.

Other Trends

Advanced Packaging Innovations

While HBM2E provides superior bandwidth, its widespread adoption faces challenges in packaging technology. The industry is responding with 2.5D and 3D stacking solutions that enable higher thermal efficiency and yield rates. TSMC's CoWoS (Chip on Wafer on Substrate) packaging, for instance, has proven particularly effective for HBM integration, allowing processors to achieve 50% better power efficiency compared to traditional configurations. These packaging breakthroughs are critical as HBM2E stacks scale to 12 dies per package while managing heat dissipation challenges.

Geopolitical Factors Reshaping Supply Chains

The HBM2E market is experiencing significant shifts due to global semiconductor trade dynamics. With the U.S. accounting for nearly 40% of high-performance computing demand and China rapidly expanding its data center infrastructure, regional supply chains are adapting. Domestic production capabilities are becoming strategic priorities, as evidenced by government investments exceeding $50 billion worldwide in advanced memory manufacturing. SK Hynix and Samsung continue to dominate production, but new fabs in North America and Europe aim to diversify the supply base amid ongoing industry consolidation.

COMPETITIVE LANDSCAPE

Key Industry Players

Semiconductor Giants Drive Innovation in High-Bandwidth Memory Solutions

The HBM2E DRAM market is highly concentrated, dominated by a few major semiconductor manufacturers with strong technological capabilities and production capacities. SK Hynix leads the market with its advanced 16GB HBM2E offering 460 GB/s bandwidth - the highest available bandwidth among commercial solutions as of 2024. The company's strong position comes from its vertical integration strategy and early investments in 3D stacking technology.

Samsung Electronics closely follows with its 410 GB/s HBM2E memory, holding approximately 40% of the global market share. Samsung differentiates itself through its proprietary TSV (Through-Silicon Via) technology and foundry partnerships with major GPU manufacturers. The company's ability to package HBM2E with logic dies gives it an edge in serving AI accelerator markets.

These two Korean memory giants collectively control over 85% of the HBM2E market, creating significant barriers to entry for other players. However, several factors are gradually changing this dynamic:

Growing demand from diverse applications including servers, networking equipment, and high-performance computing

Increasing design wins with FPGA and ASIC manufacturers

Government initiatives supporting domestic semiconductor production in multiple countries

While the market remains oligopolistic, emerging players are making strategic investments to challenge the incumbents. Micron Technology is developing alternative architectures that could compete with HBM2E, though it hasn't yet reached mass production. Meanwhile, Intel has been integrating HBM solutions in its server processors, potentially creating new avenues for competition.

The competitive intensity is expected to increase as bandwidth requirements continue growing across various applications. Both SK Hynix and Samsung have announced development of next-generation HBM solutions with even higher densities and speeds, aiming to maintain their technological leadership positions.

List of Key HBM2E DRAM Companies Profiled

SK Hynix (South Korea)

Samsung Electronics (South Korea)

Micron Technology (U.S.)

Intel Corporation (U.S.)

ChangXin Memory Technologies (China)

Segment Analysis:

By Type

16 G Segment Gains Traction Due to High Demand for High-Performance Computing Applications

The market is segmented based on type into:

8 G

16 G

Subtypes: Standard 16 G and high-bandwidth variants

By Application

Servers Segment Drives Market Growth with Increasing Cloud Computing and Data Center Demand

The market is segmented based on application into:

Servers

Networking

Consumer electronics

Others

By Bandwidth

High-Bandwidth Variants Emerge as Key Differentiators in Performance-Critical Applications

The market is segmented based on bandwidth specifications into:

Standard HBM2E (307 GB/s)

Enhanced variants

SK Hynix (460 GB/s)

Samsung (410 GB/s)

By End-User Industry

AI and HPC Applications Dominate Adoption Due to Intensive Memory Bandwidth Requirements

The market is segmented based on end-user industry into:

Artificial Intelligence

High Performance Computing

Graphics Processing

Enterprise Storage

Regional Analysis: HBM2E DRAM Market

North America The North American HBM2E DRAM market is characterized by high-performance computing applications and strong demand from data centers. The U.S. dominates the regional market, driven by investments in AI infrastructure and hyperscale cloud computing. SK Hynix and Samsung have established partnerships with major tech firms to supply HBM2E for GPUs and AI accelerators. However, supply chain constraints and complex fabrication processes have led to price volatility, pushing manufacturers to accelerate production capacity expansion. The region benefits from government-funded semiconductor initiatives, such as the CHIPS and Science Act, which indirectly supports memory innovation ecosystems.

Europe Europe’s HBM2E DRAM adoption is primarily fueled by automotive and industrial applications, particularly in Germany and the Nordic countries. The region emphasizes energy-efficient memory solutions due to strict sustainability regulations under the EU Green Deal. While local production remains limited, collaborative R&D projects between academic institutions and global players like Intel (partnering with SK Hynix for Ponte Vecchio GPUs) are bridging the gap. The aerospace and defense sectors also contribute to niche demand, though higher costs compared to conventional DDR5 solutions restrain mass-market penetration.

Asia-Pacific As the largest consumer and producer of HBM2E DRAM, Asia-Pacific is fueled by South Korea’s semiconductor leadership and China’s aggressive investments in domestic AI hardware. SK Hynix and Samsung collectively control over 90% of global HBM2E production, leveraging advanced packaging technologies. Japan plays a critical role in supplying key materials like photoresists, while Taiwan focuses on downstream integration with TSMC’s CoWoS platforms. Price sensitivity in Southeast Asia, however, limits adoption to high-margin applications, with most demand concentrated in data center deployments and supercomputing projects.

South America The region exhibits nascent demand, chiefly driven by Brazil’s developing AI and fintech sectors. Limited local manufacturing forces reliance on imports, subjecting buyers to logistical delays and tariff-related cost fluctuations. Chile and Argentina show sporadic interest in HBM2E for academic research clusters, but budget constraints prioritize cheaper alternatives like GDDR6. The lack of specialized data infrastructure further slows adoption, though partnerships with cloud service providers could unlock incremental growth.

Middle East & Africa Growth is emerging in Gulf Cooperation Council (GCC) nations, where sovereign wealth funds invest in smart city initiatives requiring high-bandwidth memory. The UAE and Saudi Arabia lead in deploying HBM2E for oil/gas simulations and financial analytics, albeit at small scales. Africa’s market remains largely untapped due to limited AI/ML adoption and underdeveloped semiconductor ecosystems. Long-term potential exists as regional tech hubs like Nigeria and Kenya gradually embrace advanced computing, though scalability depends on improved power infrastructure and cost reductions.

Report Scope

This market research report provides a comprehensive analysis of the Global HBM2E DRAM market, covering the forecast period 2025–2032. It offers detailed insights into market dynamics, technological advancements, competitive landscape, and key trends shaping the high-bandwidth memory industry.

Key focus areas of the report include:

Market Size & Forecast: Historical data and future projections for revenue, unit shipments (Million GB), and market value across major regions and segments. The market was valued at USD 2.1 billion in 2024 and is projected to reach USD 5.8 billion by 2032 at a CAGR of 13.5%.

Segmentation Analysis: Detailed breakdown by product type (8G, 16G), application (Servers, Networking, Consumer, Others), and end-user industries to identify high-growth segments.

Regional Outlook: Insights into market performance across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Asia-Pacific dominates with 62% market share in 2024.

Competitive Landscape: Profiles of leading manufacturers including SK Hynix and Samsung, covering their product portfolios (410-460 GB/s bandwidth variants), R&D investments, and strategic partnerships.

Technology Trends: Analysis of JEDEC standards evolution, 3D stacking advancements (up to 12 dies), and integration with AI/ML workloads requiring >400 GB/s bandwidth.

Market Drivers & Restraints: Evaluation of data center expansion vs. high manufacturing costs and thermal management challenges in HBM architectures.

Stakeholder Analysis: Strategic insights for memory suppliers, foundries, hyperscalers, and investors regarding capacity planning and technology roadmaps.

The research methodology combines primary interviews with industry experts and analysis of financial reports from semiconductor manufacturers to ensure data accuracy.

FREQUENTLY ASKED QUESTIONS:

What is the current market size of Global HBM2E DRAM Market?

->HBM2 DRAM Market size was valued at US$ 2.84 billion in 2024 and is projected to reach US$ 7.12 billion by 2032, at a CAGR of 12.2% during the forecast period 2025-2032.

Which companies lead the HBM2E DRAM market?

-> SK Hynix (46% market share) and Samsung (41% share) dominate the market, with their 16GB stacks offering 460GB/s and 410GB/s bandwidth respectively.

What drives HBM2E DRAM adoption?

-> Key drivers include AI accelerator demand (60% of 2024 shipments), HPC applications, and bandwidth requirements for 5G infrastructure.

Which region has highest growth potential?

-> North America (32% CAGR) leads in AI server deployments, while Asia-Pacific accounts for 78% of manufacturing capacity.

What are key technology developments?

-> Emerging innovations include 12-die stacks, TSV scaling below 5μm, and heterogeneous integration with logic dies for next-gen AI chips.

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[cybersecurityict]

Neuromorphic Computing Market Surges as Demand for Brain-Mimicking Chips Grows

Neuromorphic Computing market size was valued at USD 86.9 Million in 2023. It is expected to Reach USD 9356.4 Million by 2032 and grow at a CAGR of 68.27% over the forecast period of 2024-2032.

Neuromorphic Computing Market is emerging as a transformative force in the tech industry, revolutionizing how machines process information by mimicking the structure and function of the human brain. This shift is enabling faster, energy-efficient computing ideal for AI, robotics, and IoT applications. Major investments from tech giants and governments are propelling the market forward, especially in research institutions and enterprise-level AI infrastructure.

U.S. and Europe Lead the Way in Neuromorphic Innovation

Neuromorphic Computing Market is driving a paradigm shift in computing by addressing the limitations of traditional architectures. Through brain-inspired chip designs and spiking neural networks, neuromorphic systems deliver real-time, adaptive intelligence, opening new possibilities for sectors like defense, healthcare, and autonomous vehicles.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3094 

Market Keyplayers:

General Vision, Inc., Samsung Electronics Co., Ltd, Brain Corporation, HRL Laboratories LLC, Knowm Inc., BrainChip Holdings Ltd., International Business Machines Corporation, Hewlett Packard Company, Intel Corporation, CEA-Leti, Qualcomm Technologies, Inc, Vicarious FPC, Inc., Applied Brain Research Inc.

Market Analysis

The Neuromorphic Computing Market is growing rapidly due to the rising demand for intelligent systems capable of learning and decision-making with minimal energy usage. Unlike conventional processors, neuromorphic chips operate asynchronously, leading to faster data processing and reduced power consumption. This makes them ideal for edge AI and mission-critical systems. Companies and universities in the U.S. and Europe are spearheading innovation with support from defense agencies and AI initiatives.

Market Trends

Rising integration in edge AI devices for real-time decision-making

Increasing focus on energy-efficient computing solutions

Strategic partnerships between chipmakers and AI startups

Growing adoption in defense, robotics, and automotive sectors

Development of software tools for neuromorphic algorithm training

Government funding for cognitive computing and AI research

Miniaturization and deployment of neuromorphic chips in wearable tech

Market Scope

Neuromorphic computing is reshaping industries that require adaptive intelligence and fast, low-latency processing. The technology is finding scalable applications in multiple domains with vast potential for commercial expansion.

Brain-inspired chip design for next-gen computing

Real-time signal processing in autonomous systems

Low-energy computing for wearables and IoT

Advanced robotics with self-learning capabilities

Healthcare imaging and diagnostics powered by neuromorphic AI

Military and surveillance use for rapid pattern recognition

Forecast Outlook

The Neuromorphic Computing Market is on a promising growth trajectory, driven by breakthroughs in hardware architecture, evolving AI requirements, and expanding use cases across verticals. The future will see greater convergence between neuroscience and computing, leading to more intelligent, adaptive, and autonomous systems. With ongoing R&D, increasing commercialization, and rising awareness among enterprises, neuromorphic technology is well-positioned to revolutionize the future of intelligent computing—especially in regions like the U.S. and Europe where innovation ecosystems are thriving.

Access Complete Report: https://www.snsinsider.com/reports/neuromorphic-computing-market-3094 

Conclusion

Neuromorphic computing is no longer just a research concept—it’s a frontier technology shaping the next era of intelligent systems. As industries look for computing models that can think, adapt, and evolve, neuromorphic architectures are proving essential. In a world demanding real-time performance with minimal power, this market holds the key to unlocking advanced capabilities from autonomous vehicles to medical diagnostics. For businesses and innovators alike, now is the time to invest in the neural blueprint of tomorrow’s technology.

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