January 17, 2025

AI

Where to Start When Data is Limited

A launch pad for projects with small datasets Jake Minns · Follow Published in Towards Data Science · 17 min read · 9 hours ago — Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-depicts-how-ai-can-help-humans-to-understand-the-complexity-of-biology-it-was-created-by-artist-khyati-trehan-as-part-17484975/ Machine Learning (ML) has driven remarkable breakthroughs in computer vision, natural language processing, and speech recognition, largely due to the abundance of data in these fields. However, many challenges — especially those tied to specific product features or scientific research — suffer from limited

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EIP-7623: The Proposal That Will Re-price Calldata For Ethereum Transactions | HackerNoon

Blockchain transactions consume CPU, memory, storage, and other resources when they are propagated, executed among nodes, and stored. Therefore, proper pricing of transactions is essential to prevent network abuse and achieve efficient resource utilization. However, determining the appropriate pricing for transactions has been a longstanding challenge in blockchain protocol design. Vitalik Buterin, founder of Ethereum, touches on this issue in an old research document: One of the most challenging issues in blockchain protocol design is

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Software

How Computers Are Designed for Extreme Environments | HackerNoon

Designing electronics today can be complicated. Computers, phones, and other devices must be able to do a lot in a small package. Meeting those rising functionality demands while protecting against high heat, freezing lows, and other extreme environments is all the more challenging. As difficult as it may seem, many modern electronics function in harsh industrial or outdoor settings. Some even work in outer space or the depths of the ocean, and they can be

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Hardware

NVIDIA ordering more CoWoS-L advanced packaging from TSMC: ready for more Blackwell AI GPUs

TL;DR: NVIDIA is shifting from CoWoS-S to CoWoS-L advanced packaging for its Blackwell AI GPUs, requiring increased capacity from TSMC, the leader in semiconductor technology. This transition aims to enhance NVIDIA’s AI GPU capabilities, with CEO Jensen Huang noting a significant increase in advanced packaging capacity compared to two years ago. In order for NVIDIA’s continued AI GPU dominance it needs advanced packaging — TSMC is the king of the semiconductor industry, and has the

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AI

Learning from Machine Learning | Sebastian Raschka: Mastering ML and Pushing AI Forward Responsibly

Sebastian Raschka has helped demystify deep learning for thousands through his books, tutorials and teachings Seth Levine · Follow Published in Towards Data Science · 14 min read · Sep 20, 2023 — Sebastian Raschka has helped shape how thousands of data scientists and machine learning engineers learn their craft. As a passionate coder and proponent of open-source software, a contributor to scikit-learn and the creator of the mlxtend library, his code runs in production

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AR/VR

Beyond RAG: How cache-augmented generation reduces latency, complexity for smaller workloads

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Retrieval-augmented generation (RAG) has become the de-facto way of customizing large language models (LLMs) for bespoke information. However, RAG comes with upfront technical costs and can be slow. Now, thanks to advances in long-context LLMs, enterprises can bypass RAG by inserting all the proprietary information in the prompt. A new study by the National Chengchi University

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Hardware

AMD Ryzen Threadripper 9000 series ‘Shimada Peak’ leaks: 96C/192T, 64C/128T, 32C/64T, 16C/32T

TL;DR: AMD’s Ryzen Threadripper 9000 series “Shimada Peak” CPUs are revealed in shipping manifests, featuring 96-core, 64-core, 32-core, and 16-core variants. The flagship 96-core CPU includes 12 CCDs with 384MB L3 cache. These CPUs utilize the new Zen 5 architecture and TSMC process, differing from the previous series. AMD’s next-generation Ryzen Threadripper 9000 series “Shimada Peak” CPUs have turned up in new shipping manifests, teasing 96-core, 64-core, 32-core, and 16-core variants. VIEW GALLERY – 2

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Software

MEXC Deepens Support For Bitcoin Staking Innovation With Solv Protocol (SOLV) Token Launch | HackerNoon

Seychelles, January 17, 2025 –MEXC, the world’s leading cryptocurrency trading platform, announced the launch of the Solv Protocol (SOLV) lending protocol at 10:00 (UTC), accompanied by Airdrop+ rewards. Empowering Users through Solv Protocol’s Bitcoin Staking Innovation As a pioneer in the cryptocurrency industry, MEXC remains dedicated to driving innovation and supporting emerging blockchain ecosystems. The listing of SOLV marks another important milestone in MEXC’s mission to provide users with access to high-quality blockchain projects. By

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Hardware

NVIDIA’s next-gen Rubin AI GPU rumored for 2H 2025: more AI domination thanks to next-gen HBM4

TL;DR: NVIDIA’s Rubin GPU architecture is set for trial production in 2H 2025, with SK hynix advancing HBM4 memory production to Q3 2025. NVIDIA aims to release new AI GPU architectures faster, with SK hynix as its exclusive HBM4 supplier. Rubin R100 AI GPU with HBM4 is expected in late 2025. NVIDIA’s next-generation Rubin GPU architecture will enter “trial production” in 2H 2025 according to the latest rumors, with SK hynix working on getting its

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