#Machine Learning and AI Workstations

[ithardware-info]

CPU Requirements for Machine Learning and AI Workstations

CPU Requirements for Machine Learning and AI Workstations From conventional regression models, non-neural network classifiers, and statistical models that are represented by capabilities in Python SciKitLearn and the R language to Deep Learning models using frameworks like PyTorch and TensorFlow, there are many different kinds of machine learning and artificial intelligence applications. There may also be a great deal of variation among these various ML/AI model types. Although the "best" hardware will generally follow certain patterns, the ideal specifications for a particular application may differ. We will base our suggestions on generalizations from common workflows. Please be aware that this is more about programming model "training" than "inference" using AI machine learning workstation hardware. CPU (processor) Performance in the ML/AI space is typically dominated by GPU acceleration. But the platform to support it is defined by the motherboard and CPU. The fact that preparing for GPU training requires a substantial amount of work in data analysis and cleanup, which is typically accomplished on the CPU, is another truth. When GPU constraints like onboard memory (VRAM) availability necessitate it, the CPU can also serve as the primary computing engine. Which CPU is ideal for AI and machine learning workstations? AMD Threadripper Pro and Intel Xeon W are the two suggested CPU systems. This is due to the fact that both of these provide outstanding memory performance in CPU space, exceptional stability, and the ability to provide the necessary PCI-Express lanes for multiple video cards (GPUs). In order to reduce memory mapping problems over multi-CPU interconnects, which can result in issues mapping memory to GPUs, we often advise single-socket CPU workstations. Does machine learning and AI speed up with more CPU cores? The anticipated load for non-GPU operations will determine how many cores are selected. It is generally advised that each GPU accelerator have a minimum of four cores. However, 32 or even 64 cores can be perfect if there is a sizable CPU computation component to your task. In any event, a 16-core CPU is typically regarded as the bare minimum for this kind of workstation. Does AI and machine learning perform better on AMD or Intel CPUs? Choosing a brand in this market is primarily a personal decision, at least if GPU acceleration is the primary factor in your workload. However, if some of the technologies in the Intel oneAPI AI Analytics Toolkit may improve your workflow, the Intel platform would be better. Why are Threadripper Pro or Xeon CPUs suggested over more "consumer" level CPUs? When it comes to ML and AI workloads, the main justification for this advice is the number of PCI-Express lanes that these CPUs support, which will determine how many GPUs can be used. Depending on motherboard design, chassis size, and power consumption, the AMD Threadripper PRO 7000 Series and Intel Xeon W-3500 both have enough PCIe lanes to accommodate three or four GPUs. Additionally, this processor class offers eight memory channels, which can significantly affect performance for tasks that are CPU-bound. The fact that these processors are enterprise grade and that the platform as a whole is probably resilient to high, continuous compute loads is another factor to take into account.

[universallychildtimemachine]

Top Legal Technology Solutions Companies

In today's fast-paced world, the legal profession is experiencing a profound transformation, and it's all thanks to the rapid advancements in legal technology. Gone are the days when legal professionals relied solely on paper-based records, endless hours of research, and face-to-face consultations. Legal technology is ushering in a new era, offering greater efficiency, transparency, and accessibility in the legal field. This editorial will explore the evolution of legal technology and the profound impact it has had on the practice of law.

[one-of-many-journeys]

Day 64 (2/3)

Eleuthia-9

This was the door they could never pass, sealing away the other chambers of the Cradle, within sight but out of reach. They scored the door with angry red crosses in their rage. I passed through without problem.

Inside were workstations, each equipped with a Focus, sitting here untouched for centuries. I picked up all those that were still functioning for later use. I'll use Sylens' technique of backing up data to other Focuses as well. They're fragile things. Each Focus held only one message, an address from Samina Ebadji welcoming the children to Apollo and the beginning of their education. Then the message cut out, a voice saying that Apollo was offline. Sylens was eager for a way to bring it back online again. If there is one, I'll try to restore it, but finding out the truth about Gaia and my origins is more important.

Further on there was a hologram projector; a smaller version of those in the Zero Dawn facility. The machine announced a priority message for Elisabet Sobeck. For me.

Unlike the other holograms, this one covered the entire room; it was like being transported somewhere else. Darkness all around, and a glowing dome like the scanning radius of a Focus. The subordinate functions appeared first, each emitting a ray of holographic icons that coalesced to form Gaia. This time, nearly a millennia after her initial conception, she resembled the form from Elisabet's presentation, her dress shifting between shades, her movements like that of a human.

Gaia spoke of an unknown transmission that struck her systems—as sudden as a bolt of lightning, by the images she showed me. She said it...transformed her subordinate functions into intelligent, distinct, self-governing entities. Made them into AIs? I didn't know they could be created so quickly. From the data I've found, it used to take years, and they had to learn, but the functions were given intelligence and will out of thin air.

Given control over its own actions, Hades activated itself and began taking control away from Gaia as it was meant to in the event of a botched biosphere. By reversing terraforming operations, it could render life extinct in fifty days. To prevent this, Gaia resorted to destroying herself and Hades with her. This would buy time, but eventually the terraforming system would break down without a central governing intelligence. She said it would become 'increasingly erratic' in the meantime—the Derangement, I gathered, and the chaotic weather too.

Her solution was to generate a...reinstantiation of her creator. A copy; a clone. She said that 'high-level directives' prevented her from communicating directly with humans. I wonder why—is it because Apollo is offline, or was she never intended to speak to us in the first place? Gaia hoped that I would reenter the Cauldron in adulthood—perhaps the scan wouldn't have worked when I was young—take one of the Focuses and use it to view her message to me. From there I would be able to enter the other ruins of Zero Dawn facilities across the lands and repair the terraforming system before it was too late.

Gaia spoke to me as if I was Elisabet, used her name, relied on and believed in me as if I really was her. Did she understand that I'm not—that I don't remember, don't know anything about how to fix her?

Repair couldn't come until after Hades' destruction anyway, or it would only attempt to resume where it left off. Gaia directed me to the 'master override'—a tool in the facility where she operated from for all those centuries. With it, I would be able to purge Hades permanently.

Before Gaia could finish her instructions, Hades made its move in response to its imminent destruction. It dissolved the 'shackles' keeping it and the other subordinate functions within the system. They fled from Gaia's reach, escaping. Then Hephaestus wasn't the only other function to escape—they're all out there, hiding in ancient ruins, wreaking havoc wielding ancient machines. Are they all as dangerous and murderous as Hephaestus?

In its final act before fleeing itself, Hades corrupted data throughout Gaia's systems, including the Alpha registry in the Cradle. From that, Gaia knew I wouldn't be able access her instructions. Her final words as she burnt away into embers, the explosion destroying her central intelligence as her functions soared free, were words of hope. She believed that I, Elisabet, could succeed against the odds, as I once did long ago.

I guess she was right.

As the hologram faded out, it hit me all at once. I was never a person, just a tool forged with intent, something Gaia made to fix her systems in the fire of her death. There was never anyone waiting for me. The curse that the Nora speak of really did begin at my birth—the machines going rabid, the world spinning into chaos. Made by a machine to remake that machine that I once made in a life I can't remember.

Sylens snapped me out of it. There were two sides to this revelation. I have a mission, a purpose, and my path forward is clear. It's the only path. If I don't walk it, everything will die. Gaia was my mother, in a way, and Elisabet was too.

When I exited the hatch, half the onlookers were already kneeling. When Teersa asked me if I spoke to the goddess, I could find no better way to explain the truth. I was born to lift a curse, I told her. I was born to kill Hades, the Metal Devil of a new age.

Before I could stop them, the Matriarchs declared me Anointed of the Nora, calling for the faithful to praise me. They all fell to their knees, heads and palms pressed against the ground. Maybe I should have just stood there and taken it, but I couldn't. The anger I'd been harboring all my life came to the surface and I yelled at them, grabbed them, hoisted them to their feet, as many as I could reach. All those years they shunned me, ignored my existence or worse, and now they're using those very same backwards, cruel, nonsensical myths to set me apart above instead of below, call me their saviour, their prophet, theirs. I never was, and I never will be.

For centuries they've stayed here, kissing the ground that spat them out into a world that wasn't ready, forcing fear and ignorance onto all their people. I won't represent that.

I knew they would listen to me, for better or for worse, and so I told them what I'd learned. There's a whole world out there. Not a valley, not the sightlines of a single mountain, a world larger than they can imagine all coming to an end, full of people who deserve to be saved, no less favoured by the 'goddess' who created them. I told those who could fight to meet me in Meridian to do battle against the Eclipse when they launched their invasion. I thought it was a long-shot, but having been proven right, Teersa was looked to by the other Matriarchs to give orders. She bid them follow me into the west. I suppose they'll justify it by saying the blessing of an Anointed is far more powerful than the blessing of a mere Seeker.

I sought out Teersa once the crowd dispersed, though I could still feel their eyes on me. Even if Teersa's faith clouds her true understanding of what I am and why I was made, she's still the only reason I wasn't left in the wilds to die as an infant, and she's been kind to me. She always believed in me.

She told me Rost's story as well, finally. As the Anointed, which I guess is a thing, she didn't have much of a choice. What are oaths before the will of the goddess?

Rost committed no crime. Instead, he became a Death Seeker in a Nora rite that separates soul from body—whatever that means—to preserve the soul in All-Mother's protection while the body wanders from her sight. Once gone, the body is never permitted to return. Rost went through this ordeal to seek vengeance for a group of hostages taken and slain by outlanders, their corpses left in open mockery just across the border of the Sacred Lands. Teersa said the tribe never discovered who the outlanders were or what they wanted, but they delved in the ruins of Devil's Thirst, emitting strange, metal noises in their search. One of the hostages was Rost's six year old daughter, Alana. He never said.

On his quest for revenge, he journeyed north to Ban-Ur, further west to the Claim, through the Sundom and further still, to Utaru lands and Tenakth, then even deeper into the Forbidden West. He killed all twelve of the outlanders for their crimes. Rost returned to the Sacred Lands on the brink of death. He didn't even make it over the border on his own; another Nora broke taboo to drag him across. Law said he should have been left for dead, but knowing all that he had sacrificed for the tribe, the tribe couldn't follow through. They nursed him back to health and the Matriarch's 'compromise', in their infinite generosity, was to outcast him for life. Can't have a man without a soul in your village, that's just logical. And convenient, when the time came to get rid of me. Instead of leaving me to die, they left me in the care of a man who had lost a young daughter of his own. Teersa saw wisdom in that act, not cruelty, and said she was grateful for all Rost had done to raise and train me in the ways of Nora faith. He was so devout, I suppose no one else could have done better. I must just be resistant to that sort of thing.

Talking about Rost brought back old feelings. I should go and visit him again.

And I thought of Olin, too. Both Rost and I embarked from the Sacred Lands seeking revenge, but while the twelve outlanders displayed plain, remorseless cruelty—at least the way Teersa told it—Olin only obeyed the Eclipse to protect his family. His own young child. Killing him was a senseless act. Maybe's Rost's revenges were senseless too—the outlanders were unlikely to return, and all that was preserved in their continued existence was the injustice, the unhealed wounds of pride. He did it for the honour of the tribe, that nebulous thing. I thought myself distant from it, yet bent to its demands like all the rest. If I had let Olin live, he would have helped me take on the Eclipse. I had nothing to gain in slaying him, and far more to lose.

No sense in dwelling on it. There are worse crimes; I believe he forgave me.

I went to Lansra next. It was difficult to ignore her, with her wailing for my forgiveness as I walked past, bowing her head and raising her arms in half cower, half worship. She lamented her misreading of the signs—honestly I was expecting her to double down and say I'd gone into All-Mother's domain to plant a curse in her core. With the rest of the tribe against her, it's hard to tell whether she earnestly believes she was wrong, or is just going along to maintain her position. But she's likely too stupid for such elaborate deception. She doesn't think, doesn't care to look—just fears and lashes out against all things new or confusing to her. She grovelled, begged, touched her head to the floor in supplication. I couldn't stand it. I tried to tell her to open her eyes, to try and learn, but she took my advice literally. I told her to shut her mouth. She took that literally too. All of a sudden the cave was far more peaceful.

I met Arana and her father nearby. Thok tried to stop Arana from speaking so openly to the 'Anointed'. Great, more reasons for the Nora not to speak to me. I assured them it was alright, and to drop the titles, but I'm not sure they will. Arana brought her mother's spear all the way to the mountain, and I thanked them again for the improvements they made to my own.

I took some enjoyment in facing Resh as well. He stuck to his principles where Lansra failed to. Now that the tribe had accepted me as their figurehead, it was his tribe no longer. He said he would be leaving these lands first chance he got. Who's the outcast now?

I also spoke to Teb again, and though I tried to dissuade him from calling me the Anointed, he did so only outwardly. I could tell he idolised me, but he had done so since the Proving; my entering the mountain only solidified his belief. I asked him to stay here in the Embrace, at least, but he refused and said he would join me in Meridian. It would be a shame to see him killed for a cause I promoted after saving his life all those years ago. I wish he'd just stay safe.

Varl was waiting further on. He said he would join me in Meridian, and I would've expected no less of him, but what I did expect was...some sort of curiosity. I offered to show him the inside of the mountain, but he shut that down quick. Even my offer to tell him what I'd learned, to explain my mission, he said he would hear only if the 'goddess willed it'. I thought he was different to the others, that maybe...I thought I could rely on him, that's all. But he's just as willfully ignorant as the rest.

I couldn't stay after that, especially not with all the Nora staring, whispering prayers as I passed. I left the mountain and walked through the cooling ruins of Mother's Watch, taking the long way around to Rost's lodge on the western side of the cliffs enclosing the Embrace. Walking these roads now is even stranger than before. It's not just the charred ruins, the corpses of Deathbringers dotting the valley, it's what this valley means. What all of it means. It was on these lands that the first people born into a new world stepped, and made sacred. Everything that came after was made from the stories they spun to explain their existence. Only Sylens and I know the truth.

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[mudwerks]

(via AI can now master your music—and it does shockingly well | Ars Technica)

My teacher is a veteran musician whose band has had both major label and indie record deals, and he loves the analog, the human, the vintage, the imperfect. So it didn't surprise me to learn that he still likes to mix tracks with an old analog board or that he has a long-time "mastering guy" who finalizes the band's albums.

...So I was expecting some line about the slight edge that ears and hands still held over our machine overlords. Instead, I heard: "In the last year, LANDR has improved so much that it now sounds as good as, or in some cases better than, things we've had mastered professionally."

A few weeks after our conversation, Apple released version 10.8 of Logic Pro, its flagship digital audio workstation (DAW) and the big sibling to GarageBand. Stuffed inside the update was Mastering Assistant, Apple's own take on AI-powered mastering. If you were a Logic user, you suddenly got this capability for free—and you could run it right inside your laptop, desktop, or iPad.

So this is something AI is very good at, and for musicians like myself the ability to get quality mastering done at a price point that is affordable is huge. 

Also - I use Logic Pro so I can use Apple’s version without additional cost - which is plenty good for now.

[microcenterindia]

The ULTIMATE Guide to Selecting the Ideal Gaming PC

Since there are so many alternatives on the market, choosing the ideal gaming PC can be a daunting endeavor. Technological developments, the growing popularity of competitive gaming, and the growing need for high-quality graphics are the main forces behind this progression. Whether you’re a casual gamer, a competitive player, or a content creator, understanding your gaming needs, budget, and the various components that make up a gaming PC is crucial. This comprehensive guide will walk you through the process of choosing the best gaming PC for your needs in 2024.

The Evolution of Gaming PCs

The 1990s: The Dawn of Gaming PCs

During the 1990s, gaming PCs began to emerge as distinct entities from regular personal computers. This era saw the introduction of dedicated graphics cards, significantly improving gaming performance. Games like Doom and Quake pushed the envelope of what was possible, driving demand for better graphics and faster processors.

The 2000s: The Rise of Custom Builds

The early 2000s marked a significant shift towards custom-built gaming PCs.This period also saw the rise of online multiplayer games, which further increased the demand for powerful hardware capable of handling complex graphics and network processing. The rise of custom builds also led to the creation of budget gaming PCs that offered solid gaming performance at lower prices.

The 2010s: VR and High-Definition Gaming

Fast developments in both hardware and software defined the 2010s. Playing video games in high definition has become the standard, with resolutions like 1080p and 4K appearing more frequently. Virtual reality (VR) also entered the mainstream, requiring even more powerful PCs to deliver smooth and immersive experiences. For serious gamers, GPUs like AMD's Radeon series and NVIDIA's GTX and RTX series became indispensable.

The 2020s and Beyond: The Era of Ray Tracing and AI

Today, gaming PCs are more powerful than ever, thanks to advancements in technologies like ray tracing and artificial intelligence (AI). Realistic lighting and shadows can be achieved with ray tracing, while AI solutions like NVIDIA's DLSS (Deep Learning Super Sampling) enhance performance without sacrificing visual quality. As we move further into the 2020s, the line between gaming PCs and professional workstations continues to blur, with high-end systems capable of handling gaming, content creation, and complex simulations with ease.

The Versatility of Gaming PCs

Multi-Tasking Powerhouses

Gaming PCs are made to manage several things at once. Whether you’re gaming, streaming, editing videos, or working on complex design projects, a gaming PC can handle it all without breaking a sweat. For professionals who need a strong machine for their work, this makes them perfect.

Future-Proofing

Investing in a gaming PC ensures that you are equipped with the latest technology, which can handle future software and game releases. Because of this future-proofing feature, you won't need to upgrade your PC frequently, which will ultimately save you money.

Understanding Your Gaming Needs

Gaming Preferences

Casual Gaming

For casual games like The Sims or Minecraft, a mid-range gaming PC is sufficient. These games don’t demand the highest specs but still benefit from good performance.

Example: The Sims 4 requires a minimum of an Intel Core 2 Duo processor, 4GB of RAM, and an NVIDIA GeForce 6600 graphics card. A mid-range gaming PC will handle these requirements easily.

Competitive Gaming

For competitive games like Fortnite or Call of Duty: Warzone, you’ll need a high-performance PC with a fast CPU and GPU to achieve higher frame rates and lower latency.

Example: Fortnite players benefit from an Intel Core i7 processor, 16GB of RAM, and an NVIDIA GeForce GTX 1060 graphics card. Reaction times and general performance can be enhanced with higher frame rates.

AAA Titles and VR Gaming

Graphically demanding games like Cyberpunk 2077 or VR gaming require top-tier gaming PCs with the latest hardware. VR gaming, in particular, demands a PC that can handle the additional load of rendering immersive environments.

What Type of PC is Best for Gaming?

The best type of gaming PC depends on your specific needs:

Graphics Card (GPU): Essential for smooth gameplay, especially in high-resolution settings. Popular options include NVIDIA’s GeForce RTX series and AMD’s Radeon RX series.

Processor (CPU): A strong CPU is crucial for both performance and multitasking. Intel Core i5/i7 or AMD Ryzen 5/7 are solid choices.

RAM: 8GB of RAM is the minimum, but 16GB is recommended for more demanding games and multitasking.

Storage: A combination of SSD for fast load times and HDD for additional storage is ideal.

Cooling: Adequate cooling is necessary to maintain performance and system longevity.

CONTINUE READING

[markokaformd]

The Future of Pop-Rock and Jazz Fusion Music

Pop-rock and jazz fusion have been significant pillars in the evolution of modern music, each bringing its unique flavor to the musical landscape. As we move further into the 21st century, these genres are witnessing an exciting transformation fueled by technological advancements, cultural shifts, and the relentless creativity of artists. This article explores the future of pop-rock and jazz fusion, delving into emerging trends, potential innovations, and the evolving tastes of global audiences.

The Evolution of Pop-Rock: A Brief Overview

Pop-rock, a genre that seamlessly blends the catchy elements of pop with the raw energy of rock, has been a dominant force in the music industry for decades. From The Beatles and The Rolling Stones in the 1960s to modern-day icons like Coldplay and Maroon 5, pop-rock has continually adapted to changing musical trends while maintaining its core appeal.

The Influence of Technology on Pop-Rock

The future of pop-rock is closely tied to technological advancements. The rise of digital audio workstations (DAWs), synthesizers, and music production software has already transformed the genre, enabling artists to experiment with sounds and styles that were previously unimaginable. As artificial intelligence (AI) and machine learning continue to develop, we can expect pop-rock to evolve in unprecedented ways.

AI-driven music composition tools are beginning to influence how pop-rock songs are written and produced. These tools can analyze vast amounts of musical data, identify patterns, and even generate new melodies or chord progressions. While some argue that this diminishes the human element of music creation, others see it as a way to push the boundaries of creativity.

The Role of Streaming Platforms

Streaming platforms like Spotify, Apple Music, and YouTube have fundamentally changed how music is consumed, and pop-rock is no exception. These platforms provide artists with direct access to global audiences, bypassing traditional gatekeepers like record labels. As a result, we’re witnessing the rise of independent pop-rock artists who can cultivate large followings without the backing of major labels.

In the future, streaming platforms are likely to become even more influential. Algorithms that recommend music based on listeners’ preferences will continue to evolve, making it easier for emerging pop-rock bands to find their audience. Additionally, virtual reality (VR) and augmented reality (AR) could create immersive music experiences that redefine live performances, offering fans new ways to engage with their favorite pop-rock artists.

The Resurgence of Jazz Fusion

Jazz fusion, a genre that blends jazz improvisation with elements of rock, funk, and R&B, first gained popularity in the late 1960s and 1970s. Artists like Miles Davis, Herbie Hancock, and Weather Report pioneered this innovative style, pushing the boundaries of traditional jazz. Although jazz fusion's mainstream popularity waned in the 1980s, it has experienced a resurgence in recent years, driven by a new generation of musicians who are reinterpreting the genre for contemporary audiences.

The Return to Improvisation and Experimentation

One of jazz fusion's defining characteristics is its emphasis on improvisation and experimentation. In the modern music landscape, where many genres are becoming increasingly formulaic, jazz fusion offers a refreshing alternative. Young musicians are drawn to the genre’s complexity and freedom, using it as a platform to explore new sonic territories.

The future of jazz fusion lies in its ability to incorporate diverse musical influences while staying true to its improvisational roots. Today’s jazz fusion artists are blending elements of electronic music, hip-hop, and world music, creating a sound that is both timeless and forward-looking. This genre’s adaptability ensures that it will continue to evolve and attract new audiences in the years to come.

The Role of Collaboration in Jazz Fusion

Collaboration has always been at the heart of jazz fusion, and this trend shows no signs of slowing down. In recent years, we’ve seen exciting partnerships between jazz fusion musicians and artists from other genres. For example, the collaboration between jazz pianist Robert Glasper and hip-hop artists like Kendrick Lamar and Common has resulted in groundbreaking albums that bridge the gap between jazz fusion and contemporary urban music.

As genres continue to blur, we can expect more cross-genre collaborations that push the boundaries of what jazz fusion can be. These collaborations will likely lead to new subgenres and hybrid styles, keeping jazz fusion fresh and relevant in the ever-changing music landscape.

The Intersection of Pop-Rock and Jazz Fusion

While pop-rock and jazz fusion are distinct genres, they have increasingly intersected in recent years. This fusion of styles has given rise to a new breed of musicians who are unafraid to blend catchy pop melodies with complex jazz harmonies and improvisation.

The Rise of Genre-Fluid Artists

The future of music is likely to be dominated by genre-fluid artists who refuse to be confined to a single style. These musicians draw inspiration from multiple genres, creating a sound that is uniquely their own. In the context of pop-rock and jazz fusion, this means we will see more artists who seamlessly integrate elements of both genres into their music.

Artists like Thundercat and Snarky Puppy are prime examples of this trend. Thundercat, a bassist and singer, combines the groove of funk, the improvisation of jazz, and the accessibility of pop to create a sound that defies categorization. Similarly, Snarky Puppy, a collective of musicians from various musical backgrounds, blends jazz, rock, and world music into a cohesive and innovative whole.

The Influence of Global Music Trends

Globalization has had a profound impact on music, exposing artists and audiences to a wide range of musical traditions from around the world. This cross-pollination of cultures is influencing the future of both pop-rock and jazz fusion as musicians incorporate elements of African, Latin, Asian, and Middle Eastern music into their work.

The result is a more diverse and inclusive musical landscape where the boundaries between genres are increasingly fluid. In the future, we can expect to see more pop-rock bands experimenting with jazz fusion elements and vice versa, leading to a rich tapestry of sounds that reflect the interconnected world we live in.

The Impact of Social and Cultural Movements

Music has always been a powerful tool for social and cultural expression, and the future of pop-rock and jazz fusion will be shaped by the movements and issues that define our times. From climate change and social justice to mental health and identity, artists are using their music to comment on the world around them.

Pop-Rock as a Voice for Change

Pop-rock has a long history of addressing social and political issues, from the protest songs of the 1960s to the more recent activism of artists like Billie Eilish and Hozier. As we move forward, pop-rock will continue to be a platform for artists to express their views on critical global issues.

In the future, we may see more pop-rock songs that tackle environmental concerns, gender equality, and mental health awareness. These themes will resonate with a new generation of listeners who are passionate about creating a better world, ensuring that pop-rock remains a relevant and impactful genre.

Jazz Fusion’s Role in Cultural Expression

Jazz fusion, with its roots in jazz—a genre deeply intertwined with the African American experience—has always been a medium for cultural expression. As jazz fusion continues to evolve, it will likely reflect the diverse cultural backgrounds of its practitioners.

The future of jazz fusion will be shaped by artists who use the genre to explore their identities, heritage, and the social issues that matter to them. This will result in music that is not only innovative but also deeply meaningful, resonating with audiences on both an intellectual and emotional level.

A Bright Future Ahead

The future of pop-rock and jazz fusion music is incredibly promising, characterized by innovation, collaboration, and a willingness to push the boundaries of what music can be. As technology continues to evolve and global cultures become more interconnected, these genres will adapt and thrive, attracting new audiences and inspiring the next generation of musicians.

Whether through AI-driven composition, cross-genre collaborations, or music that speaks to the social issues of our time, pop-rock and jazz fusion will remain at the forefront of musical innovation. The blending of these two genres will likely lead to exciting new sounds that challenge our expectations and broaden our understanding of what music can be. As we look to the future, one thing is confident: the evolution of pop-rock and jazz fusion will continue to captivate and inspire music lovers around the world.

[cargozforwarehousingandstorage]

What are the latest warehouse automation technologies?

Gone are the days of manual labour and static, inefficient operations. Today, we stand at the forefront of a revolution driven by the latest warehouse automation technologies. These innovations reshape how businesses handle inventory, fulfil orders, and optimize supply chains.

From autonomous robots and artificial intelligence to the Internet of Things (IoT) and advanced data analytics, we'll explore how these technologies enhance efficiency, reduce costs, and ensure seamless operations in modern warehouses.

1-Robotic Process Automation (RPA): RPA involves using software robots to automate repetitive tasks like data entry, order processing, and inventory tracking. The robots interact with various systems and applications to streamline workflows.

2-Autonomous Mobile Robots (AMRs): Robotic vehicles called AMRs navigate and operate in warehouses without fixed infrastructure, such as conveyor belts or tracks. They perform tasks like picking, packing, and transporting goods.

3-Automated Guided Vehicles (AGVs): AGVs are similar to AMRs but typically follow fixed paths or routes guided by physical markers or magnetic tape. They are commonly used for material transport in warehouses and distribution centres.

4-Goods-to-Person Systems: This approach involves bringing the items to the workers rather than having workers travel throughout the warehouse to pick items. Automated systems retrieve and deliver goods to a workstation, reducing walking time and improving efficiency.

5-Automated Storage and Retrieval Systems (AS/RS): AS/RS systems use robotics to store and retrieve items from racks or shelves automatically. These systems can significantly increase storage density and optimize space utilization.

6-Collaborative Robots (Cobots): Cobots are designed to work alongside human workers. They can assist with tasks like picking, packing and sorting, enhancing efficiency and safety.

7-Warehouse Management Systems (WMS): While not a physical automation technology, modern WMS software uses advanced algorithms and AI to optimize inventory management, order fulfilment, and warehouse processes.

8-Vision Systems and Machine Learning: Computer vision technology combined with machine learning can be utilized for tasks such as object recognition, inventory movement tracking, and quality control.

9-IoT and Sensor Networks: Internet of Things (IoT) devices and sensors collect real-time data on inventory levels, environmental conditions, equipment health, and more, enabling better decision-making and predictive maintenance.

10-Voice and Wearable Technologies: Wearable devices and voice-guided picking systems can provide workers with real-time information and instructions, improving accuracy and efficiency.11-Automated Packaging Solutions: These systems automate the packaging process by selecting the appropriate box size, sealing packages, and applying labels, reducing manual labour and ensuring consistent packaging quality.

[skyfallights]

3D XPoint Technology Market Share Redefining High-Speed Data Storage for the Digital Era

The 3D XPoint Technology Market Share is gaining momentum as industries increasingly demand ultra-fast, non-volatile memory solutions that bridge the performance gap between DRAM and NAND flash. Developed jointly by Intel and Micron, 3D XPoint delivers exceptional speed, endurance, and low latency—revolutionizing storage architecture in data centers, AI workloads, and enterprise computing.

According to Market Share Research Future, the global 3D XPoint technology market is expected to reach USD 7.5 billion by 2030, growing at a robust CAGR of 13.3% during the forecast period. As the world generates and processes data at unprecedented speeds, the adoption of 3D XPoint is set to rise, driven by advancements in artificial intelligence, big data analytics, and cloud infrastructure.

Market Share Overview

3D XPoint (pronounced “cross point”) is a next-generation memory technology that provides persistent storage with performance closer to DRAM and endurance far superior to NAND flash. It is designed to store data in a three-dimensional matrix and can switch states up to 1,000 times faster than traditional flash memory.

This disruptive memory architecture is addressing the bottlenecks associated with latency, durability, and scalability in modern computing systems. Its ability to support high-speed random read/write access and endure millions of cycles makes it ideal for performance-intensive applications like real-time data processing, AI inference, and in-memory computing.

Enhanced Market Share Segmentation

By Type:

Standalone Memory

Used in SSDs, expansion cards

Storage-Class Memory (SCM)

Blends memory and storage into a single tier

Embedded Memory

By Application:

Enterprise Storage

Data Centers

Consumer Electronics

Automotive Electronics

Healthcare Devices

Industrial IoT Systems

By End-User:

IT & Telecom

BFSI

Healthcare

Automotive

Government

Retail & E-Commerce

By Region:

North America – Dominates the market due to early adoption of advanced memory technologies

Europe – Growth fueled by cloud computing and enterprise digitization

Asia-Pacific – Fastest-growing region, led by semiconductor manufacturing and consumer electronics demand

Rest of the World – Emerging interest in AI and defense applications

Key Trends Influencing Growth

Integration with AI and Machine Learning Workloads: The high throughput and low latency of 3D XPoint make it well-suited for AI models that require rapid data movement and decision-making.

Edge Computing Adoption: With the rise of real-time data processing at the edge, 3D XPoint is being considered for latency-sensitive environments such as autonomous vehicles and smart cities.

Hybrid Storage Architectures: Enterprises are integrating 3D XPoint with DRAM and SSDs to optimize storage hierarchies and reduce total cost of ownership.

In-Memory Databases (IMDB): 3D XPoint boosts performance in databases requiring immediate access to vast amounts of data, such as SAP HANA or Oracle Database.

Rise of Optane Products: Intel’s Optane SSDs and memory modules, powered by 3D XPoint, are gaining traction across high-performance computing markets.

Segment Insights

Standalone Memory

Standalone memory devices using 3D XPoint, such as NVMe-based SSDs, are in high demand across enterprise IT infrastructures. They offer faster boot times, application load speeds, and overall system responsiveness compared to traditional SSDs.

Storage-Class Memory (SCM)

SCM combines the benefits of DRAM and NAND flash. It enables faster storage with persistent memory capabilities, allowing systems to resume instantly and retain data without power. Adoption is rising in hyperscale data centers and mission-critical applications.

Consumer Electronics

3D XPoint is beginning to appear in high-end laptops, gaming PCs, and workstations where users seek faster load times and improved multitasking capabilities.

End-User Insights

IT & Telecom

Data centers supporting 5G, virtualization, and software-defined storage benefit significantly from 3D XPoint’s low latency and endurance. Service providers are using it to reduce response times and improve service-level agreements (SLAs).

BFSI Sector

Banks and financial institutions require real-time analytics and fraud detection. 3D XPoint supports these functions by enabling faster access to massive datasets, driving improved customer experiences and compliance.

Healthcare

Medical imaging, diagnostics, and health record processing demand rapid, secure storage solutions. 3D XPoint ensures faster retrieval of critical patient data, reducing delays in clinical workflows.

Automotive

In autonomous vehicles and infotainment systems, 3D XPoint’s resilience and high speed enhance safety and performance. Its ability to function reliably under extreme conditions makes it ideal for automotive-grade applications.

Key Players

The 3D XPoint technology ecosystem is currently limited to a few key players, with others entering the domain through partnerships and acquisitions:

Intel Corporation

Micron Technology Inc.

Western Digital Technologies

Samsung Electronics Co., Ltd.

SK hynix Inc.

Hewlett Packard Enterprise (HPE)

IBM Corporation

Dell Technologies

These companies are investing in R&D to expand the use cases of 3D XPoint, reduce costs, and integrate the technology into mainstream computing platforms.

Future Outlook

The future of 3D XPoint technology lies in its ability to disrupt memory and storage hierarchies. As edge computing, AI, and cloud-native workloads proliferate, the demand for fast, durable, and persistent memory will continue to rise.

With decreasing production costs, expanding supply chains, and broader application scopes, 3D XPoint is expected to become a core component of future computing architectures. Organizations that prioritize performance, endurance, and data integrity will increasingly migrate toward hybrid solutions powered by 3D XPoint.

Trending Report Highlights

Explore emerging technologies transforming the semiconductor and intelligent systems landscape:

Embedded Display Market Share

Embedded Subscriber Identity Module Market Share

Enterprise Manufacturing Intelligence Market Share

Ethernet Adapter Market Share

Robotic Refueling System Market Share

Roll To Roll Printing Market Share

Rugged IC Market Share

Single Mode Optical Fiber Market Share

Smart Motor Market Share

Smart Wiring Device Market Share

Sound Reinforcement Market Share

[ithardware-info]

Which is the most vital element of a deep-learning workstation?

One of the most vital hardware parts of a deep-learning workstation is the GPU. Training neural networks is one of the important tasks in Deep learning are highly parallelizable. It means that the massive calculations in training neural networks can be divided into many smaller tasks that can be processed simultaneously. This is where GPUs work, as they are built for parallel computing, rendering them significantly faster than CPUs for deep learning tasks.

• Parallel Processing:

Deep learning, particularly training neural networks, includes immense amounts of calculations that can be segmented into smaller tasks processed simultaneously. GPUs are crafted for this kind of parallel processing, making them perfect for deep learning.

• CUDA Support:

NVIDIA GPUs with CUDA (Compute Unified Device Architecture) are favoured for deep learning due to their robust performance and compatibility with frameworks such as TensorFlow and PyTorch.

• VRAM:

The quantity of Video RAM (VRAM) on the GPU is also vital, as it dictates how large a model and dataset can be managed.

• Other Considerations:

While the GPU is essential, other components like the CPU (for standard processing), RAM (for managing large datasets), storage (for rapid data access), and a reliable power supply are also crucial. SO GPU is the most significant component for deep learning workstations.

When selecting a GPU, high-end models like the NVIDIA RTX series (e.g., RTX 3090 or the newer RTX

090) are perfect for deep-learning applications. These GPUs are equipped with thousands of CUDA cores, which allow them to carry out matrix operations that are crucial for training deep-learning models. Furthermore, newer GPUs in this series also include Tensor Cores, specifically optimized for AI workloads, further enhancing performance.

Key Considerations:

• Power Supply: High-end GPUs are incredibly power-hungry, often needing 350W or more. Make sure your workstation has a sufficiently powerful power supply unit (PSU), ideally 850W or above, to accommodate multiple GPUs.

• Cooling System: High-performance GPUs produce a lot of heat during demanding tasks. A workstation must possess an efficient cooling solution, which we will elaborate on later in this guide.

• Scalability: If your deep-learning projects grow, having a workstation that can accommodate multiple GPUs (2) is advantageous for accelerating training times.

The GPU is the core of any deep-learning system, as its performance directly correlates with the pace at which models can be trained, making it the most crucial component of your workstation.

[budgetgameruae]

High VRAM Graphics Card for AI Training in UAE: A Deep Dive for Enthusiasts and Professionals

The need for specialised processing power has increased as a result of artificial intelligence's (AI) rise in the United Arab Emirates. High VRAM graphics cards are now necessary for deep learning models and AI training, not optional. Selecting the best GPU for AI model training can be a game-changer for anyone looking for strong, AI-ready hardware in Dubai, Abu Dhabi, or Sharjah, whether they are data scientists, AI researchers, or tech enthusiasts.

[cybersecurityict]

Digital Forensics Market Poised for Explosive Growth Amid Rising Cyber Threats

The Digital Forensics Market was valued at USD 9.84 Billion in 2023 and is expected to reach USD 30.74 Billion by 2032, growing at a CAGR of 13.51% from 2024-2032.

Digital Forensics Market is experiencing significant growth as cyber threats escalate and organizations prioritize digital evidence management. The surge in data breaches, ransomware attacks, and regulatory compliance needs is fueling demand for forensic technologies across sectors including law enforcement, BFSI, healthcare, and IT.

U.S. Market Emerges as a Powerhouse in Cybersecurity-Driven Forensic Solutions

Digital Forensics Market continues to expand with advancements in AI, cloud-based analytics, and mobile forensics tools. Enterprises are focusing on enhancing investigation accuracy, incident response, and legal readiness through robust digital forensic infrastructures.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3106 

Market Keyplayers:

AccessData – FTK (Forensic Toolkit)

Cellebrite – Cellebrite UFED

Magnet Forensics – Magnet AXIOM

Guidance Software (Acquired by OpenText) – EnCase

OpenText – EnCase Endpoint Investigator

Paraben Corporation – E3 Platform

MSAB – XRY

Belkasoft – Belkasoft Evidence Center

BlackBag Technologies (Acquired by Cellebrite) – BlackLight

Passware – Passware Kit Forensic

X1 Discovery – X1 Social Discovery

Kroll – CyberDetectER

Oxygen Forensics – Oxygen Forensic Detective

Basis Technology – Autopsy

Nuix – Nuix Workstation

Cisco Systems – SecureX

IBM – QRadar Incident Forensics

FireEye – Helix

LogRhythm – LogRhythm NetMon

Rapid7 – InsightIDR

Market Analysis

The Digital Forensics Market is driven by increasing reliance on digital infrastructure, rising cybercrime incidents, and evolving regulatory landscapes. The USA leads in adoption, backed by strong federal initiatives and enterprise cybersecurity mandates, while Europe is witnessing growing investments in forensic readiness and GDPR-aligned tools. Cloud forensics and mobile device analysis are emerging as core pillars within modern investigation practices.

Market Trends

Rapid adoption of cloud forensics for SaaS and hybrid environments

AI and machine learning enhancing anomaly detection and threat correlation

Mobile forensics gaining traction amid smartphone-based cyber incidents

Growing use of blockchain for digital evidence integrity

Integration of digital forensics with cybersecurity and legal compliance tools

Automation in evidence collection and reporting workflows

Increasing demand for endpoint forensics in remote work setups

Market Scope

The Digital Forensics Market has expanded beyond traditional crime investigations into areas like corporate fraud, insider threats, and compliance monitoring. This broader application spectrum is opening new opportunities for solution providers globally.

Cross-platform investigation capabilities

Cloud-native forensic software for distributed systems

Legal chain-of-custody features integrated with audit logs

Real-time forensic incident response dashboards

Forensics-as-a-Service (FaaS) gaining traction

Compatibility with encrypted and proprietary data formats

Scalable deployment models for SMEs and large enterprises

Forecast Outlook

Looking ahead, the Digital Forensics Market is poised for robust development, fueled by technological sophistication and heightened data security awareness. With the rising complexity of cyber threats, organizations are expected to adopt advanced forensics solutions that offer automation, speed, and precision. The market will witness a strong push from legal, regulatory, and corporate risk management domains, especially in developed regions like the U.S. and Europe, which are setting global benchmarks for digital evidence handling and compliance enforcement.

Access Complete Report: https://www.snsinsider.com/reports/digital-forensics-market-3106 

Conclusion

In an era where every digital footprint counts, the Digital Forensics Market is no longer a niche segment but a core pillar of cybersecurity strategy. From federal agencies in Washington D.C. to financial regulators in Frankfurt, demand for fast, reliable, and legally sound digital investigations is intensifying. Businesses and governments alike are investing in tools that not only detect breaches but also empower actionable insights—turning forensic technology into a strategic asset for a safer digital future.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Related Reports:

U.S.A experiences rising demand for cyber investigation solutions in the Network Forensics Market

U.S.A drives next-gen growth in the Security Orchestration, Automation and Response (SOAR) Market

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[erpone]

How ERP Reduces Downtime in Production Scheduling

In the high-stakes world of manufacturing, downtime is the ultimate nemesis. Every minute of halted production translates into lost revenue, wasted resources, and frustrated customers. Whether it’s due to poor planning, supply chain delays, or equipment failure, downtime disrupts workflows and deflates margins.

Enterprise Resource Planning (ERP) — the digital backbone of modern production facilities. When implemented effectively, an ERP system doesn’t just manage your operations, it orchestrates them, eliminating inefficiencies and ensuring that your production scheduling runs like a finely tuned machine.

This blog explores how ERP solutions reduce downtime, optimize production schedules, and empower manufacturers to achieve leaner, smarter operations.

What Is Downtime in Production Scheduling?

Downtime refers to any period during which a machine, workstation, or production line is not operational. While some downtime is planned such as maintenance, unplanned downtime due to errors in scheduling or resource unavailability can severely hinder output.

Downtime is often caused by:

Machine breakdowns

Missing materials or late deliveries

Inefficient labour allocation

Poor scheduling decisions

Lack of real-time data visibility

Downtime is not just a technical failure — it’s a strategic failure. And that’s where ERP comes in.

The Cost of Downtime: Why It’s More Than Lost Time

According to research by Aberdeen Group, manufacturers lose an average of $260,000 per hour of unplanned downtime. But the cost extends beyond financial loss:

Missed delivery deadlines

Damaged customer relationships

Decreased workforce productivity

Reduced equipment lifespan

Shrinking market share

These consequences highlight the importance of proactive systems that detect, prevent, and adapt to downtime risks.

ERP in Manufacturing: A Quick Primer

Enterprise Resource Planning (ERP) software integrates all business functions into a single, cohesive platform. In manufacturing, this includes:

Production planning

Inventory management

Procurement

Supply chain logistics

Quality control

Maintenance tracking

Workforce management

A modern ERP solution empowers manufacturers with centralized data, real-time collaboration, and automated scheduling ensuring minimal disruptions.

Root Causes of Downtime ERP Helps Eliminate

Let’s look at some major causes of downtime and how ERP mitigates them:

By addressing these pain points, ERP solutions create a predictable and optimized production environment.

Core ERP Features That Improve Production Scheduling

Here are the ERP functionalities specifically designed to reduce production downtime:

Advanced Planning and Scheduling (APS)

Real-time job sequencing

Multi-level BOM scheduling

Capacity planning and load balancing

Scenario modeling for what-if analysis

Materials Requirement Planning (MRP)

Forecasting demand accurately

Aligning procurement with production cycles

Avoiding shortages and excess inventory

Shop Floor Control

Real-time data collection from machines

Operator tracking and shift planning

Instant alerts for deviations or delays

Preventive Maintenance Scheduling

Automatic maintenance reminders

Downtime tracking by machine

Spare parts inventory management

Integrated Supply Chain Management

Transparent vendor communication

Logistics and lead time tracking

Contingency planning tools

Real-Time Visibility: The Heart of Operational Resilience

One of the most valuable aspects of ERP is real-time visibility.

Without live data, production teams operate reactively. With ERP dashboards and IoT integrations, manufacturers gain:

Live production status monitoring

Work-in-progress (WIP) updates

Bottleneck identification

Dynamic rescheduling based on real-time disruptions

This agility allows teams to course-correct before downtime escalates.

Predictive Planning and AI-Driven Scheduling

Modern ERP systems often incorporate AI and machine learning algorithms to anticipate and resolve issues before they arise.

Features include:

Predictive demand forecasting

Smart rescheduling in case of bottlenecks

Root cause analysis of past downtime events

Adaptive learning from production patterns

AI-powered ERP transforms production from reactive firefighting to proactive precision.

Choosing the Right ERP for Your Manufacturing Needs

Not all ERP systems are created equal. When selecting an ERP to reduce downtime, look for:

Final Thoughts

Downtime doesn’t have to be an unavoidable cost of manufacturing. With a robust ERP system in place, production scheduling becomes:

Proactive, not reactive

Data-driven, not guesswork

Optimized, not overengineered

Continuous, not chaotic

ERP is no longer a “nice-to-have” for manufacturers — it’s a strategic imperative.

By investing in technology that connects your floor, your teams, and your suppliers, you ensure your production line stays where it belongs, moving forward.

[komalllsinhh]

Graphics Add-in Board (AIB) Market 2025-2032

MARKET INSIGHTS

The global Graphics Add-in Board (AIB) Market size was valued at US$ 47,300 million in 2024 and is projected to reach US$ 89,600 million by 2032, at a CAGR of 9.67% during the forecast period 2025-2032.

Graphics Add-in Boards are dedicated hardware components that enhance visual processing capabilities in computing devices. These boards contain GPUs (Graphics Processing Units) that accelerate image rendering for applications ranging from gaming to professional visualization. AIBs come in two primary configurations: discrete (standalone units with dedicated memory) and integrated (embedded solutions sharing system resources).

The market growth is driven by several factors including increasing demand for high-performance gaming, expansion of AI and machine learning applications, and growing adoption in data centers. While the discrete segment dominates with 78% market share in 2024, integrated solutions are gaining traction in mobile devices. Key players like Nvidia Corporation and Advanced Micro Devices Inc. continue to innovate, with recent launches such as Nvidia’s RTX 40 series pushing performance boundaries. However, supply chain constraints and fluctuating component costs remain challenges for manufacturers.

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Key Industry Players

Market Leaders Accelerate Innovation to Capture Evolving Demand

The global Graphics Add-in Board (AIB) market exhibits a semi-consolidated structure dominated by tech giants and specialized manufacturers. Nvidia Corporation leads the industry with a revenue share exceeding 80% in the discrete GPU segment as of 2024, owing to its cutting-edge RTX 40-series GPUs and dominant position in AI-powered graphics solutions. The company’s continuous R&D investments and strategic partnerships with OEMs solidify its market leadership.

Advanced Micro Devices Inc. (AMD) follows closely with its Radeon RX 7000 series, capturing approximately 19% market share through aggressive pricing strategies and energy-efficient designs. Recent advancements in chiplet technology and FSR upscaling have enabled AMD to challenge Nvidia’s dominance, particularly in the mid-range GPU segment.

While Intel Corporation entered the dedicated GPU market more recently with its Arc series, the company’s strong foothold in integrated graphics and strategic pricing have allowed it to carve out a niche. Other players including ASUS, Gigabyte, and MSI collectively account for significant aftermarket share through branded AIB offerings featuring custom cooling solutions and factory overclocking.

List of Key Graphics Add-in Board Manufacturers

Nvidia Corporation (U.S.)

Advanced Micro Devices Inc. (U.S.)

Intel Corporation (U.S.)

AsusTek Computer Inc. (Taiwan)

Gigabyte Technology Co. Ltd. (Taiwan)

EVGA Corporation (U.S.)

Micro-Star International Co. (Taiwan)

Sapphire Technology (Hong Kong)

ZOTAC (PC Partner Limited) (Hong Kong)

The competitive landscape continues evolving with emerging technologies like AI-powered rendering and ray tracing accelerating product refresh cycles. While Nvidia maintains technological leadership through its CUDA ecosystem, competitors are leveraging open standards and alternative architectures to diversify the market. The growing demand for both high-end gaming GPUs and workstation-class solutions ensures dynamic competition across price segments.

Segment Analysis:

By Type

Discrete Segment Dominates Due to High Performance Demand in Gaming and Professional Applications

The market is segmented based on type into:

Discrete

Integrated

By Application

Desktop Segment Leads Owing to Persistent Demand for High-End Graphics in PC Gaming

The market is segmented based on application into:

Desktops

Notebooks and Tablets

Workstations

Others

By End User

Gaming Segment Maintains Strong Position Due to Rising Esports and VR Adoption

The market is segmented based on end user into:

Gaming

Professional Visualization

Data Centers

Others

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FREQUENTLY ASKED QUESTIONS:

What is the current market size of Global Graphics Add-in Board (AIB) Market?

-> Graphics Add-in Board (AIB) Market size was valued at US$ 47,300 million in 2024 and is projected to reach US$ 89,600 million by 2032, at a CAGR of 9.67% during the forecast period 2025-2032.

Which key companies operate in Global AIB Market?

-> Key players include NVIDIA Corporation, Advanced Micro Devices Inc., Intel Corporation, ASUS, MSI, Gigabyte Technology, EVGA, ZOTAC, and Sapphire Technology.

What are the key growth drivers?

-> Key growth drivers include gaming industry expansion, AI/ML workloads, professional visualization demands, and increasing GPU adoption in data centers.

Which region dominates the market?

-> North America currently leads with 35% market share, while Asia-Pacific is the fastest-growing region at 11.2% CAGR.

What are the emerging trends?

-> Emerging trends include AI-accelerated computing, real-time ray tracing, advanced cooling solutions, and increasing VRAM capacities.

About Semiconductor Insight:

Established in 2016, Semiconductor Insight specializes in providing comprehensive semiconductor industry research and analysis to support businesses in making well-informed decisions within this dynamic and fast-paced sector. From the beginning, we have been committed to delivering in-depth semiconductor market research, identifying key trends, opportunities, and challenges shaping the global semiconductor industry.

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[stemrobotechnology]

How to Setup Robotics Lab in School – A Complete Guide to Establishing a Robotics Lab

In today’s technology-driven world, robotics education acts as an important asset in equipping students with 21st-century Robotics & AI skills such as critical thinking, problem-solving, and creativity. Robotics lab offers a dedicated space for students to engage in hands-on learning, exploring engineering, machine learning, and artificial intelligence (AI). By providing a well-structured Robotics & AI lab, schools generate our young learner’s interest in the field of STEM (Science, Technology, Engineering, and Mathematics), and make them ready for future careers in further Robotics & AI embedded technology. This will guide our learners in a direct approach to setting up a Robotics lab, and also ensure that students gain maximum educational benefits from this modern learning environment.

Defining Objectives and Goals

At the foundational stage of setting up Robotics & AI labs in schools, it is essential to clearly define the lab’s objectives and purpose. This helps schools determine whether the focus will be on basic robotics education, competition-driven learning, or innovation through patent-worthy projects. The primary goals include introducing our young learners to Robotics and AI, upgrading with programming and engineering skills, and preparing students for national and international tech. Competitions, and encourage them to become future innovators by learning the combination of innovative projects that combine balanced learning. These objectives will guide schools in planning the necessary resources such as designed curriculum and selecting appropriate equipment while learning the concept in Robotics & AI labs.

Securing Budget and Funding

Setting up robotics labs in schools involves a significant financial investment, and schools must plan their budgets accordingly. Several funding options are available in the authority, including school budget administration, government permits, corporate partnerships and sponsorship, and community fundraising initiatives. STEM education companies collaborate with the government for support with the education part and the material requirements according to the school for opening robotics & AI Labs in the school. At the same time, STEM education companies also offer sponsorship under several projects, provide teachers training programs by the STEM education companies, and Atal tinkering Labs handled by the robotics lab. CSR approach and alumni contributions can also give financial assistance.

Selecting the Right Space

Whenever a lab is established in a school, it is essential to carefully select a suitable space. Choosing the right location for the Robotics and AI lab is crucial to ensuring a practical, engaging, and productive learning environment. The lab should be spacious enough to have workstations, practical testing areas, robotics kits, and tool storage. It must also have proper ventilation, lighting, electrical connection, and internet connectivity. A well-setup layout with designated areas for programming, assembly, and testing enhances productivity and safety.

Procuring Robotics Kits and Equipment

Robotics Lab Selecting the right robotics kits and equipment is fundamental for creating an effective robotics lab. The selection of kits should be based on the learners’ age groups and their initial skill levels. For beginners, kits such as mechanical construction kits and block-based power screw kits are ideal. In terms of coding, platforms like Scratch and Code Blocks provide a built-in introduction to robotics and programming. Intermediate classes from 6th to 8th can benefit from Arduino, Raspberry Pi, and other robotics kits, which provide hands-on experience in coding and electronics technology. Students at the senior level can explore AI-powered coding platforms like AI Connect, Drone technology, and IoT-based machine learning projects. With all of this, the Robotics & AI lab will support various robotics innovations going to happen in the future.

Developing a Robotics Curriculum

A well-organized robotics curriculum ensures progressive growth in learning and development of new advanced skills. Schools should design the curriculum in such a way that it will cover all concepts from beginner to advanced levels, hands-on projects, and advanced robotics applications. In the beginner level from class 3rd to 5th class, learners will focus on basic robotics, easy-to-understand programming concepts, and understandable mechanical design. Then at the intermediate level for 6th to 8th class learners should focus on microcontrollers, robotics, and Machine learning robot programming. Later on at the advanced level, it should include AI, machine learning, IoT embedded, and participation in robotics competitions which motivates the students to do more innovation in the future.

Hiring Skilled Educators and Mentors

After setting up the lab, the most crucial person is the one who will run it – the ideal role model and mentor. This individual will guide our future learners towards a bright future, equipped with up-to-date knowledge in advanced technology and artificial intelligence. Our STEM companies provide STEM-certified educators, who are the best mentors to help students grasp the concepts of robotics and AI in an engaging and enjoyable way. They are essential for guiding students in this specific direction of gaining knowledge in robotics and AI. As per our advice, schools should recruit STEM-certified educators with expertise in all directions where they should be experts in their fields of Science, Technology, Engineering & Mathematics.

Robotics Lab in School Following that, it is important to establish collaborations with university researchers, industry professionals, and robotics organizations to provide students with valuable insights, real-world exposure, and expert mentorship. If some schools want to train their teachers for this subject, then our STEM education companies provide teachers training programs and organize workshops for the teachers to ensure that instructors remain updated with the latest technology in robotics technology. This also encourages students to a learning approach, where senior students can also mentor in the class and it also enhances engagement and knowledge-sharing skills.

Implementing Safety Measures

In the Robotics & AI lab, we need to ensure that we have proper safety for the students in the robotics lab. It is essential to establish clear guidelines on the Circular Board for handling electronic components and computer systems provided in the lab. Additionally, students must be trained in basic first aid procedures to ensure they are prepared to respond effectively in case of any mishap, emphasizing the importance of safety and preparedness in a lab environment. The essential safety measures include protective gear such as gloves and safety goggles, building fire safety protocols, and training students for first aid. These properly structured lab sessions with instructor supervision help to maintain a safe environment in the lab.

Conclusion

In conclusion, establishing Robotics & AI labs in schools marks a progressive leap in advancing STEM education and preparing students for a tech-driven future. A well-designed and thoughtfully planned lab—with clear objectives, suitable equipment, expert mentorship, and a structured curriculum for all grades—creates an engaging, future-ready learning environment. Getting educated about Robotics & AI education develops technical skills and also enhances creativity, teamwork, and critical thinking approach toward the problem and its solution. By continuously approaching & upgrading resources such as curriculum and student participation in the competition, schools can work hard to motivate the upcoming generation of young innovators and engineers who are ready to lead the vision of future innovators.

[govindhtech]

IBM, Inclusive Brains Use AI and Quantum for BMI Research

Inclusion Brains

IBM and Inclusive Brains Improve Brain-Machine Interfaces with AI, Quantum, and Neurotechnologies

IBM and Inclusive Brains have partnered to study cutting-edge AI and quantum machine learning methods to improve multi-modal brain-machine interfaces (BMIs). On June 3, 2025, this agreement was launched to improve brain activity classification.

This collaborative study seeks socially beneficial innovation. BMIs may help people with disabilities, especially those who cannot use their hands or voice, regain function. By letting people control linked devices and digital settings without touching or speaking, BMIs can help patients regain control. With this study's findings, Inclusive Brains aims to expand educational and career prospects. In addition to aiding crippled people, the alliance wants to improve brain activity classification and understanding to help the public avert physical and mental health issues.

IBM AI and quantum expertise will strengthen Inclusive Brains' multimodal AI systems in the collaboration endeavour. The real-time customisation of BMIs to each user's needs and talents is being developed to increase autonomy and agency.

Comparing brain activity categorisation accuracy to current models is a major investigation phase. Using IBM Granite foundation models to generate, review, and test code helps determine the best machine learning algorithmic combinations for brain activity classification and interpretation. The project will also examine automatic selection of the optimal algorithms for specific users and their use in “mental commands” to control workstations.

The terms “mental commands,” “mind-controlled,” and “mind-written” are simplified for this study. They don't mean brainwaves read words or commands. A multimodal AI system learns from brainwaves, eye movements, facial expressions, and other physiological data. These mixed signals help the system determine human intent and operate without touch or speech.

The alliance plans several open science research publications to benefit scientists and the public. The study will also investigate quantum machine learning brain activity classification. Both organisations are committed to ensuring the study follows responsible technology principles, which include ethical concerns and neurotechnology and neurological data usage recommendations.

IBM France president Béatrice Kosowski is happy to engage with innovative firms like Inclusive Brains and responsibly provide access to IBM's AI and quantum technologies to promote healthcare.

Professor Olivier Oullier, CEO and co-founder of Inclusive Brains, said the collaborative study will assist generate highly customised machine-user interactions, signifying a shift towards unique solutions that meet each person's needs, body, and cognitive style. Inclusive Brains has demonstrated multimodal interface Prometheus BCI through public “mind-controlled” acts like tweeting, writing a parliamentary amendment, and using an arm exoskeleton.

In the last decade, BMIs have become more prevalent since they connect the brain to a computer, usually for controlling external equipment. They are useful for studying brain physiology, including learning and neuronal behaviour, as well as restoring function. This collaborative study will improve these fascinating technologies' capabilities and accessibility.

In conclusion

IBM and Inclusive Brains investigated BMI technology. The collaboration uses cutting-edge AI and quantum machine learning to classify brain activity patterns. Enabling “mental commands” based on physiological signals aims to promote disability accessibility and inclusion. Ethics and responsibility in neurotechnology use are also stressed in the study.