#decentralized data

[elsa16744]

The Future of Decentralized Data Systems Driven by Artificial Intelligence

Organizations are leveraging AI models to add value and gain a competitive edge. And one way to accumulate the right data is through decentralization.

[educationisimp0]

The Future of Decentralized Data Systems Driven by Artificial Intelligence 

While big tech has been making all the noise in 2023, the year is also teaching us that even the most sophisticated AI model are likely to lose their credibility if they generate inaccurate responses.

Artificial Intelligence (AI) models are evolving and becoming valuable when trained to operate as closely with real-world scenarios as possible. However, to provide factual accuracy and human-appropriate behavior, the framework requires transparent, accountable, and secure data insights.

[atozofsoftwareengineering]

Introducing Data Mesh

Check out my latest video on #DataMesh - an emerging approach to data architecture that is revolutionizing data ownership and management. #DataArchitecture #DecentralizedData #DataOwnership

Please do not forget to subscribe to our posts at www.AToZOfSoftwareeEgineering.blog. Listen & follow our podcasts available on Spotify and other popular platforms. Have a great reading and listening experience!

[qortrola]

The Future of Decentralized Gaming has arrived, Don't believe me? Then dive into the essence of what I envision for this revolutionary Idea. Help bring it into fruition by reading, analyzing, and understanding the conceptual framework I've created. The beginning of the future is now, Read My blogs below, where I bridge the current Web2 centralized legacy gaming systems into a Decentralized Web3 ecosystem, Enabling Gamers to be incentivized, monetized, and recognized for their gaming data-which only will be in their Control.

Welcome to QorTrola Gaming, where #Web3, #Blockchain, #Crypto, #Decentralization, #DePIN, #Data, #Gaming, #BlockchainGaming, #Monetization, #Hardware and #IoT all combine to create a dedicated system for gamers to control and sell their gaming data as they please.

Check it out 👇

https://qortrolagaming.wordpress.com/

[yellowmanula]

popatrz algorytmie, wychodzę ci naprzeciw, karm się moimi reakcjami, szerami, moimi bańkami, moimi afektami, wciąż jest język który ja też mogę podpatrywać u ciebie.

[techdriveplay]

What Should You Know About Edge Computing?

As technology continues to evolve, so do the ways in which data is processed, stored, and managed. One of the most transformative innovations in this space is edge computing. But what should you know about edge computing? This technology shifts data processing closer to the source, reducing latency and improving efficiency, particularly in environments where immediate action or analysis is…

[anryton]

In today’s digital era, data is more valuable than ever. From personal photos and business documents to critical financial information, our reliance on digital storage is ubiquitous. Traditionally, this data has been stored in centralized servers, typically managed by large corporations or cloud service providers. However, an innovative alternative is gaining traction: Decentralized Storage Solutions. This approach is transforming how we store and manage data, offering several compelling advantages over traditional methods. In this blog post, we’ll explore these advantages in detail, highlighting why decentralized storage solutions are becoming increasingly popular.

[projectchampionz]

Explore These Exciting DSU Micro Project Ideas

Explore These Exciting DSU Micro Project Ideas Are you a student looking for an interesting micro project to work on? Developing small, self-contained projects is a great way to build your skills and showcase your abilities. At the Distributed Systems University (DSU), we offer a wide range of micro project topics that cover a variety of domains. In this blog post, we’ll explore some exciting DSU…

[jcmarchi]

The AI Scientist

New Post has been published on https://thedigitalinsider.com/the-ai-scientist/

The AI Scientist

A model that can produce novel AI papers plus some really cool papers and tech releases this week.

Next Week in The Sequence:

Edge 423: We explore the fundamentals of state space models including the fmaous S4 paper. The tech section provides an overview of NVIDIA’s NIM framework.

Edge 424: We dive into the DeepMind’s amazing AlphaProof and AlphaGeometry-2 that achieved silver medal in the latest international math olympiad.

You can subscribe to The Sequence below:

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

📝 Editorial: The AI Scientist

If you read this newsletter, you know that I firmly believe discovering new science might be the ultimate test for AGI. While we are still far from having AI that can formulate something like the Riemann Hypothesis or the Theory of General Relativity, we have made tremendous progress in proving and validating scientific ideas across disciplines such as mathematics, physics, biology, chemistry, and others.

The reason science presents such a challenging bar for AI is that it involves aspects like long-term planning, creativity, multidisciplinary knowledge, multi-step fact-checking, and many other components that are still in the very early stages of development in generative AI.

However, progress is being made.

This week, the Japanese AI startup Sakana AI, in collaboration with several other AI labs, published a paper detailing The AI Scientist, a framework for open-ended scientific discovery. The AI Scientist is capable of conducting open-ended research, executing experiments, generating code, visualizing results, and even presenting them in full reports. In the initial demonstrations, The AI Scientist made several contributions across different areas of AI research, including diffusion models, transformers, and grokking.

The core ideas behind The AI Scientist resemble models such as DeepMind’s Alpha Geometry, AlphaProof, or the NuminaMath model that recently won first prize in the AI Math Olympiad. These models use an LLM for idea formulation, combined with more symbolic models for experimentation. The biggest challenge with this approach is whether the idea-generation portion will quickly hit its limits. Some of the most groundbreaking scientific discoveries in history seem to involve a component of human ingenuity that doesn’t yet appear to be present in LLMs. However, this path holds great potential for exploring new ideas in scientific research.

For now, The AI Scientist represents an exciting advancement in open-ended scientific research.

🔎 ML Research

The AI Scientist

Researchers from Sakana AI, Oxford, University of British Columbia and several other institutions published a paper unveiling the AI Scientist, a pipeline for open ended scientific research using LLMs. The AI Scientist injects AI in different area of scientific research such as ideation, a literature search, experiment planning, experiment iterations, manuscript writing, and peer reviewing —> Read more.

Imagen 3

Google published the technical report of Imagen 3, their marquee text-to-image model. The paper details the training and evaluation details behind Imagen 3 as well as some of the challenges around safety —> Read more.

Mitigating Hallucinations

Google Research published a paper detailing HALVA, a contrastive tuning method that can mitigate hallucinations in language and image assistants. Like other contrastive learning methods, HALVA generates alternative representations of factual tokens with the objective of boosting the probability of the model identifying the correct token —> Read more.

Your Context is Not an Array

Qualcomm Research published a paper that explores the limitations of transformers. The paper suggest that some of the generalization challenges of transformers are related with the inability to perform random memory access within its context window —> Read more.

Mutual Reasoning in LLMs

Microsoft Research published a paper introducing rStar, a self-play multi reasoning approach that seems to improve reasoning capabilities in small language models. rStar uses a generation-discrimination process to decouple the different steps in the reasoning process —> Read more.

Pretraining vs. Fine Tuning

Researchers from Johns Hopkins University published a paper exploring the relationship between pretraining and fine-tuning in LLMs. The paper explores the diminishing returns of fine-tuning after certain scale —> Read more.

🤖 AI Tech Releases

Grok-2

xAI unveiled a new version of Grok that matches the performance of top open source models —> Read more.

SWE-Bench

OpenAI released a subset of the famous SWE-Bench benchmark with human verification —> Read more.

Claude Prompt Caching

Anthropic unveiled prompt caching capabilities for Claude 3.5 Sonnet and Claude 3 Haiku —> Read more.

Airflow 2.10

Apache Airflow 2.10 arrived with a strong focu on AI workflows —> Read more.

AI Risks Database

MIT open sourced a database of over 700 AI risks across different categories —> Read more.

🛠 Real World AI

Image Animation at Meta

Meta discusses the AI techniques used for image animation at scale —> Read more.

Model Reliability at Salesforce

Salesforce discusses the methods used to ensure AI model reliability and performance in their internal pipelines —> Read more.

📡AI Radar

Fei-Fei Li’s World Labs raised $100 million at a $1 billion valuation.

Decentralized AI startup Sahara AI raised $43 million in new funding.

Snowflake announced its Cortex Analyst solution to power self-service analytics with AI.

AI observaility platform Goodfire raised $7 million in new funding.

AI-focused VC Radical Ventures raised a new $800 million fund.

Raunway Gen-3 Turbo showcased very impressive capabilities.

AI-based stock evaluator TipRanks was acquired for $200 million.

Real Estate AI company EliseAI raised $75 million at $1 billion valuation.

Encord, an AI data development platform, raised a $30 million Series B.

RAG as a service platform Ragie raised $5.5 million.

CodeRabbit raised $16 million for using AI to automate code reviews.

AI-based scientific research platform Consensus raised an $11.5 million Series A.

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

[safesoundelectric]

A Bright Spark of Hope for the Open Web

Safe & Sound Electric is excited about ActivityPub's potential for a more open internet! We're committed to building a brighter digital future. Join us! #ActivityPub #OpenWeb

Hey there, Safe and Sound Electric checking in! We’re keeping our fingers crossed for ActivityPub. Sure, there might be some hiccups along the way, but the whole idea of a decentralized, user-controlled internet? Now that’s something we can really get behind. You know how they say, “Hope for the best, but prepare for the worst”? Well, we’re definitely feeling that. We know building a truly open…

[techtoio]

Blockchain Is More Than Just Bitcoin: Surprising Uses in 2024

Introduction: The Expanding Horizons of Blockchain Technology. In recent years, blockchain technology has captivated the world’s imagination far beyond its cryptocurrency roots. While Bitcoin might have introduced the masses to blockchain, the potential applications of this technology stretch across various industries, reshaping how we approach security, transparency, and efficiency. In 2024, blockchain is proving itself in arenas few had anticipated, offering innovative solutions to age-old problems and opening new avenues for data management. Read to Continue...

[gsinfotechvispvtltd]

Leveraging Blockchain for Transparent and Secure Digital Marketing

Blockchain technology is revolutionizing various industries by offering enhanced security and transparency. In digital marketing, blockchain can address critical issues such as ad fraud, data privacy, and trust. Here’s how to leverage blockchain for your marketing efforts:

1. Ensuring Data Integrity

Blockchain’s decentralized nature ensures that data cannot be easily altered or tampered with. This provides a reliable record of all transactions and interactions, which is crucial for verifying marketing metrics and campaign performance.

2. Enhancing Ad Transparency

Ad fraud is a significant problem in digital advertising. Blockchain can verify the authenticity of ad impressions and clicks, ensuring that advertisers are only charged for genuine interactions. This transparency builds trust between advertisers and publishers.

3. Protecting User Privacy

Blockchain allows for the secure and anonymous handling of user data. By using cryptographic techniques, companies can collect and utilize customer data without compromising privacy, adhering to stringent data protection regulations.

4. Facilitating Secure Payments

Blockchain can streamline the payment process in digital marketing. Smart contracts enable automatic, secure transactions once predefined conditions are met, reducing the need for intermediaries and minimizing transaction costs.

5. Building Trust with Consumers

Transparency is a key factor in building consumer trust. By providing verifiable proof of product origins, ethical practices, and transaction histories, blockchain can enhance brand credibility and foster stronger customer relationships.

Adopting blockchain technology in digital marketing not only enhances security and transparency but also positions your brand as a forward-thinking, trustworthy entity in the eyes of consumers.

[atozofsoftwareengineering]

Data Mesh: Principles, Benefits, Drawbacks, and Best Practices

Check out my latest blog on #DataMesh - an emerging approach to data architecture that is revolutionizing data ownership and management. Learn about the principles, benefits, drawbacks, and best practices for implementing this innovative approach. #DataAr

In recent years, the concept of data mesh has gained a lot of attention in the data engineering community. The term was coined by Zhamak Dehghani, a principal consultant at ThoughtWorks, in a blog post published in May 2020. Since then, data mesh has become a popular topic in the data engineering world, with many organizations exploring its potential benefits. Data mesh is a new approach to data…

[qortrola]

[markethighs]

Title: “GetGrass: Unleashing the Power of Community Bandwidth for Decentralized Data”

Description: Welcome to the world of GetGrass, where blockchain intersects with real-world data! 🌐🌿 In this video, we dive into the revolutionary concept of GetGrass—a self-sustaining ecosystem fueled by the collective bandwidth of its community members. Discover how GetGrass is reshaping data oracles and empowering decentralized applications across the blockchain space. 🚀

Hashtags: #GetGrass #DecentralizedData #BlockchainRevolution #CommunityBandwidth #RealWorldData #CryptoInnovation

 Tags:

GetGrass, Decentralized Data, Blockchain, Community Bandwidth, Real-World Data, Crypto, Solana, Layer 2 Scaling, GRASS Tokens, Blockchain Revolution, Data Oracles, IoT Gadgets, AI Applications, Passive Earnings, Greener Future, Global Network, Crypto Innovation, Real-World Connectivity, Community Participation