computational chemistry
17 articles about computational chemistry in AI news
Claude Opus 4.7 Matches Dedicated NMR Software on Chemistry Tasks
Claude Opus 4.7 matches NMR software on chemistry tasks per Anthropic blog, but methodology and benchmarks undisclosed.
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.
Beyond General AI: How Liquid Foundation Models Are Revolutionizing Drug Discovery
Researchers have developed MMAI Gym, a specialized training platform that teaches AI the 'language of molecules' to create more efficient drug discovery models. The resulting Liquid Foundation Models outperform larger general-purpose AI while requiring fewer computational resources.
Altman: Next-Gen AI Models to Aid 'Career-Defining' Scientific Discovery
OpenAI CEO Sam Altman stated that upcoming AI models will assist researchers in making 'career-defining' discoveries, though he tempered expectations of immediate Nobel-level breakthroughs.
Kronos AI Outperforms Leading Time Series Models by 93% on Candlestick Data
Researchers from Tsinghua University released Kronos, an open-source foundation model trained on 12 billion candlestick records from 45 exchanges. It reportedly achieves 93% higher accuracy than leading time series models for price and volatility forecasting, requiring no fine-tuning.
AI Firms Target Biotech for High-Impact, High-Margin Applications
A trend analysis notes AI companies are shifting focus to biotech, where accurate prediction models can be monetized through drug discovery and synthetic biology, creating a new competitive frontier.
DrugPlayGround Benchmark Tests LLMs on Drug Discovery Tasks
A new framework called DrugPlayGround provides the first standardized benchmark for evaluating large language models on key drug discovery tasks, including predicting drug-protein interactions and chemical properties. This addresses a critical gap in objectively assessing LLMs' potential to accelerate pharmaceutical research.
BloClaw: New AI4S 'Operating System' Cuts Agent Tool-Calling Errors to 0.2% with XML-Regex Protocol
Researchers introduced BloClaw, a unified operating system for AI-driven scientific discovery that replaces fragile JSON tool-calling with a dual-track XML-Regex protocol, cutting error rates from 17.6% to 0.2%. The system autonomously captures dynamic visualizations and provides a morphing UI, benchmarked across cheminformatics, protein folding, and molecular docking.
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.
OpenAI Targets Autonomous AI Researcher System for Parallel Problem-Solving
OpenAI is reportedly developing an autonomous AI researcher system designed to decompose complex problems, run parallel agents, and synthesize results. This represents a strategic shift toward multi-agent, reasoning-focused architectures.
Beauty Giants Face ROI Challenge in AI Implementation
L'Oréal's partnership with Nvidia highlights the beauty industry's push into AI for product development. The central challenge for conglomerates is quantifying the return on investment beyond the initial hype.
RxnNano: How a Tiny AI Model Outperforms Giants in Chemical Discovery
Researchers have developed RxnNano, a compact 0.5B-parameter AI model that outperforms models ten times larger in predicting chemical reactions. Using innovative training techniques that prioritize chemical understanding over brute-force scaling, it achieves 23.5% better accuracy on key benchmarks for drug discovery applications.
Zatom-1: The First Unified AI Model for 3D Molecular and Materials Science
Researchers have developed Zatom-1, the first foundation model that simultaneously handles generative and predictive tasks for both molecules and materials. This multimodal flow matching approach enables faster sampling and improved accuracy across chemical domains.
Lilly's AI Factory: How a 9,000+ GPU SuperPOD is Rewriting Pharmaceutical Discovery
Eli Lilly has launched 'LillyPod,' the world's most powerful privately-owned AI factory for drug discovery. Powered by NVIDIA's new DGX B300 systems with over 1,000 Blackwell Ultra GPUs, it promises to accelerate medical breakthroughs at unprecedented scale.
AI's 'Cheap Wins' in Mathematics Signal a New Era of Human-Machine Collaboration
Fields Medalist Terence Tao reveals AI is solving easier Erdős problems, but the real breakthrough is AI as a tireless junior co-author accelerating mathematical discovery through tedious work automation.
ByteDance's Molecular AI Breakthrough: Stabilizing Complex Reasoning with Chemical Bond Principles
ByteDance researchers have developed MOLE-SYN, a novel AI approach that maps molecular bond dynamics to stabilize long-chain reasoning in language models. This breakthrough addresses the 'cold-start' problem in multi-step AI reasoning and enhances reinforcement learning stability.
From $100M to $100: How AI is Driving the Next Diagnostic Revolution
The cost of sequencing a human genome has plummeted from $100 million to under $100 in just 25 years, a milestone powered by AI and automation. This unprecedented price drop signals a coming wave of affordable diagnostic tests that could transform personalized medicine.