scientific computing
30 articles about scientific computing in AI news
Claude Code's 'Long-Running' Mode Unlocks Scientific Computing Workflows
Anthropic's new 'long-running Claude' capability enables Claude Code to handle extended scientific computing tasks—here's how to use it for data analysis, simulations, and research pipelines.
EmbodiedAct: How Active AI Agents Are Revolutionizing Scientific Simulation
Researchers have developed EmbodiedAct, a framework that transforms scientific software into active AI agents with real-time perception. This breakthrough addresses critical limitations in how LLMs interact with physical simulations, enabling more reliable scientific discovery through embodied actions.
Apple's M5 Pro and Max: Fusion Architecture Redefines AI Computing on Silicon
Apple unveils M5 Pro and M5 Max chips with groundbreaking Fusion Architecture, merging two 3nm dies into a single SoC. The chips deliver up to 30% faster CPU performance and over 4x peak GPU compute for AI workloads compared to previous generations.
The Coming Compute Surge: How U.S. Labs Are Fueling the Next AI Revolution
Morgan Stanley predicts a major AI breakthrough driven by unprecedented computing power increases at U.S. national laboratories. This infrastructure expansion could accelerate AI capabilities beyond current limitations.
DishBrain Breakthrough: Lab-Grown Neurons Master Classic Video Game Doom
Scientists have successfully trained in vitro brain cells to play the classic video game Doom, marking a significant advancement in biological computing and neural interface technology. This breakthrough demonstrates how living neurons can process information and adapt to perform complex tasks.
Microsoft's Phi-4-Vision: A Compact AI Model That Excels at Math, Science, and Understanding Interfaces
Microsoft has released Phi-4-reasoning-vision-15B, a 15-billion parameter open-weight multimodal model designed for tasks requiring both visual perception and selective reasoning. The compact model excels at scientific, mathematical, and GUI understanding while balancing compute efficiency.
Frozen Giants Aligned: New AI Method Bridges Vision and Language Without Training
Researchers have developed HDFLIM, a novel framework that aligns powerful frozen vision and language models using hyperdimensional computing. This approach enables efficient image captioning without computationally intensive fine-tuning, preserving original model capabilities while creating cross-modal understanding.
Cerebras' Strategic Partnership Yields Breakthrough AI Training Results
Cerebras Systems' partnership with Abu Dhabi's G42 has produced remarkable AI training benchmarks, achieving results 100x faster than traditional GPU clusters. The collaboration demonstrates the viability of wafer-scale computing for large language model development.
DeepMind Secretly Assembled ~20-Person Team to Train AI for High-Frequency Trading, Aiming at Renaissance
Demis Hassabis formed a covert ~20-researcher team within DeepMind to develop AI-powered high-frequency trading algorithms, reportedly targeting rival Renaissance Technologies. Google leadership disapproved, leading to the project's quiet termination.
Microsoft & CUHK Debut 'Medical AI Scientist' Agent That Generates Ideas, Runs Experiments, and Writes Papers
Microsoft Research and CUHK have developed an autonomous AI agent that can formulate research ideas, execute experiments, and author papers, achieving near-MICCAI quality on 171 clinical cases across 19 tasks.
Kyushu University AI Model Achieves 44.4% Solar Cell Efficiency, Surpassing Theoretical SQ Limit
Researchers at Kyushu University used an AI-driven inverse design method to create a photonic crystal solar cell with 44.4% efficiency, exceeding the 33.7% Shockley-Queisser limit for single-junction cells.
Claude Code's New Channels Feature: How to Run Persistent AI Agents in Your Terminal
Claude Code now supports persistent 'Channels' via MCP, letting you run long-lived AI agents that work asynchronously on tasks like monitoring logs or building features.
What 'Mythos' Means for Claude Code: How to Prepare for the Next Model Leap
Anthropic's leaked 'Mythos' model signals a major capability jump. Claude Code users should audit their CLAUDE.md files and prompt patterns now to be ready.
Anthropic's Legal AI Plugin Triggers Market Shift as Legal Data Provider Stocks Decline
Anthropic's release of a legal plugin for its Claude Cowork agent system has reportedly caused a decline in legal data provider stocks, highlighting the competitive pressure AI agents place on traditional legal tech.
OpenAI Backs AI "Bot Army" Startup Isara in $94M Funding Round at $650M Valuation
OpenAI has led a $94 million investment in Isara, a startup developing autonomous AI agents that can collaborate in large groups. The deal values the company at $650 million and signals OpenAI's strategic push into multi-agent systems.
Claude Code's New Auto Mode: Run Commands Without Constant Permission Prompts
Claude Code's new Auto Mode uses a safety classifier to autonomously execute safe actions while blocking risky ones, eliminating constant permission prompts for routine tasks.
Claude Opus 4.6 Is Live in Claude Code: Here's How to Use It for Maximum Coding Speed
Claude Opus 4.6 is now available in Claude Code. This update brings significant improvements to complex reasoning and autonomous coding tasks—here's how to configure it and what to prompt differently.
Claude Code's New 'Auto Mode' Preview: What's Allowed, What's Blocked, and How to Get Access
Anthropic's new safety classifier for Claude Code autonomously executes safe actions while blocking risky ones. Here's how it works and how to use it.
Anthropic's 'Harness' Design: What It Means for Your Claude Code Workflows
Anthropic's new 'harness' architecture for long-running apps could enable Claude Code to manage more complex, persistent development tasks with greater stability.
Claude Code's 81.6K GitHub Stars: What This Community Momentum Means for Your Daily Workflow
Claude Code's massive GitHub adoption signals a mature ecosystem—here's how to leverage the new MCP servers and subagent features shipping now.
Andrej Karpathy's 'Engineering's Phase Shift' Talk Covers AI Psychosis, Model Speciation, and a SETI-Style Movement
Andrej Karpathy's one-hour talk, highlighted by AI engineer Rohan Pandey, explores the shift from software to AI engineering, touching on AI psychosis, AutoResearch, and a potential distributed AI research movement.
New Research Automates Domain-Specific Query Expansion with Multi-LLM Ensembles
Researchers propose a fully automated framework for query expansion that constructs in-domain exemplars and refines outputs from multiple LLMs. This eliminates manual prompt engineering and improves retrieval performance across domains.
Perplexity CEO Reveals Key Distinction Between AI Search and Traditional Models
Perplexity CEO Aravind Srinivas explains how their 'Personal Computer' approach fundamentally differs from OpenAI's models, emphasizing real-time information retrieval over static knowledge bases. This distinction highlights the evolving landscape of AI-powered search tools.
AI Reasoning Costs Plummet: 1000x Price Drop Signals Dawn of Accessible Intelligence
The cost of running advanced AI reasoning models has collapsed by 1000x in just 16 months, revealing unprecedented efficiency gains beyond raw model improvements. This dramatic reduction suggests we're still in early stages of AI development with massive optimization potential remaining.
AI as a Utility: The Coming Era of Metered Intelligence
A leading AI executive envisions a future where artificial intelligence becomes a metered utility like electricity or water, fundamentally changing how society accesses and pays for cognitive capabilities.
AI Breakthrough: Single Model Masters Multiple Code Analysis Tasks with Minimal Training
Researchers demonstrate that parameter-efficient fine-tuning enables large language models to perform diverse code analysis tasks simultaneously, matching full fine-tuning performance while reducing computational costs by up to 85%.
Nvidia's Groq Ramps Up AI Chip Production with Samsung in Major Partnership Expansion
Nvidia's recent acquisition Groq has significantly expanded its partnership with Samsung, increasing chip orders from 9,000 to 30,000 wafers. This massive production boost signals accelerated development of Groq's specialized AI inference processors amid growing market demand.
LeCun's NYU Team Unveils Breakthrough in Efficient Transformer Architecture
Yann LeCun and NYU collaborators have published new research offering significant improvements to Transformer efficiency. The work addresses critical computational bottlenecks in current architectures while maintaining performance.
VSPrefill: The Vertical-Slash Breakthrough That Makes 128K Contexts Practical
Researchers have developed VSPrefill, a novel sparse attention mechanism that dramatically accelerates long-context processing in LLMs. Using lightweight indexing of vertical columns and slash diagonals, it achieves 4.95x speedup while maintaining 98.35% accuracy at 128k context lengths.
OrbEvo: How AI is Revolutionizing Quantum Chemistry Simulations
Researchers have developed OrbEvo, an equivariant graph transformer that predicts quantum wavefunction evolution in molecules, potentially accelerating time-dependent density functional theory simulations by orders of magnitude. The system accurately captures excited state dynamics and optical properties while maintaining physical symmetries.