Microsoft builds MacBook Pro rival with NVIDIA-powered Surface Laptop Ultra
Microsoft has unveiled the Surface Laptop Ultra, a powerful competitor to the MacBook Pro, featuring a 20-core NVIDIA Grace CPU and NVIDIA Blackwell RTX GPU, designed for professional computing on Windows Arm.
A new way to build chips: Sequentially stacking silicon to extend Moore's Law
Researchers led by Qing Cao have developed a method for sequentially stacking silicon circuits, enabling the creation of high-performance three-dimensional chips that could significantly enhance computing power.
Fooling around with encrypted reasoning blobs
Encrypted reasoning in LLMs involves sending an opaque, Base64-encoded blob of reasoning data to clients, which raises questions about its security implications and potential for tampering.
Expanse enhances HPC/GPU cluster efficiency by predicting job resource needs and flagging potential failures, addressing the common issue of 30-40% underutilization in data centers, which can lead to $8.5M wasted compute monthly on a single cluster.
Crystal Nights (2008)
"Crystal Nights" by Greg Egan explores the intersection of AI evolution and ethical dilemmas, as a researcher seeks to create conscious AI through a revolutionary photonic crystal processor, challenging the boundaries of technology and morality.
What’s the actual focus in World Models right now?
The current focus in world models has shifted towards scaled-up video generation, reflecting advancements from major industry labs rather than the previous emphasis on techniques like Barlow Twins and DINO.
Expanding Project Glasswing
Project Glasswing is expanding to include 150 new organizations across 15 countries, enhancing efforts to secure critical software and infrastructure, with partners already identifying over 10,000 security flaws using Claude Mythos Preview.
Finetuning a Reasoning LLM with Supervised or Reinforcement Learning?
Fine-tuning small LLMs on annotated conversational data requires careful structuring of training samples to effectively capture reasoning traces and tool-calling decisions, ensuring that each sample reflects the complete context leading to the assistant's response.
Real-time multilingual ASR using rolling buffers and monolingual models
The proposed routing-based approach for real-time multilingual ASR utilizes smaller monolingual models (~100M parameters) to enhance accuracy and reduce hardware demands, outperforming traditional large models.
Why our #1 LightGBM feature by importance made predictions worse
The #1 LightGBM feature, a variant-conditioned Bayesian target encoder, initially showed high importance but ultimately worsened predictions due to its reliance on unobserved factors that led to overfitting.
NVIDIA Jetson Brings Agentic AI to the Physical World
NVIDIA JetPack 7.2 and NemoClaw empower Jetson with agentic AI capabilities, enabling developers to enhance robotics and industrial automation with a production-grade stack that accelerates deployment and reduces costs.
🤗Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains
Mellum2 is a 12B Mixture-of-Experts model developed by JetBrains, designed to enhance text generation capabilities through advanced architecture and efficient resource allocation.
OpenAI frontier models and Codex are now available on AWS
NVIDIA AI Cloud Ecosystem Expands Worldwide to Meet Global AI Compute Demand
NVIDIA's AI Cloud ecosystem is rapidly expanding to meet the surging global demand for AI compute, enabling enterprises and developers to scale agentic AI applications effectively.
NVIDIA Factory Operations Blueprint Gives Factories a New AI Brain
The NVIDIA Factory Operations Blueprint (FOX) enables factories to implement an autonomous manager agent that enhances decision-making through real-time data integration, optimizing operations across various specialized AI agents.