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AI for Science

34 articles · Page 1 of 1
Machine Heart
Machine Heart
Sep 23, 2026 · Artificial Intelligence

From AI Build AI to True RSI: Inside the Zhangjiang Summit on AI Self-Evolution

The article reports on the "Triple T" Zhangjiang Top Meeting salon where six experts presented on recursive self-improvement (RSI) in AI, covering agent-environment-data-model co-evolution, self-evolving code models, discovery intelligence, embodied AI, AI for science, and a roundtable on achieving genuine RSI beyond local optimization.

AI Self-EvolutionAI for ScienceAgent-Environment Co-evolution
0 likes · 14 min read
From AI Build AI to True RSI: Inside the Zhangjiang Summit on AI Self-Evolution
Design Hub
Design Hub
Sep 18, 2026 · Industry Insights

Claude Accelerates 30+ Biomolecular Models: The Real Breakthrough Isn't a Benchmark

Anthropic's Claude optimized 36 packages and 30+ open-source biomolecular models in under four weeks, delivering 1.6×–4.1× speedups across Exact, Fast, and Big modes via FlashPairformer kernels and engineering optimizations, enabling large-complex predictions on single nodes while maintaining accuracy within statistical noise.

AI for ScienceCUDA kernelsClaude
0 likes · 17 min read
Claude Accelerates 30+ Biomolecular Models: The Real Breakthrough Isn't a Benchmark
Data Party THU
Data Party THU
Sep 6, 2026 · Artificial Intelligence

Inside the DOE's Genesis Mission: 278 Projects Building AI as Scientific Infrastructure

The U.S. Department of Energy's Genesis Mission selected 278 Phase I projects from over 5,000 applications to integrate AI with supercomputing and scientific instruments, showcasing three examples: GPU-accelerated Monte Carlo for LHC, cross-scale plasma dynamics discovery, and AI agents for high-energy physics analysis at CERN.

AI AgentsAI for ScienceCERN
0 likes · 10 min read
Inside the DOE's Genesis Mission: 278 Projects Building AI as Scientific Infrastructure
DataFunTalk
DataFunTalk
Sep 2, 2026 · Artificial Intelligence

Fusion Model by FUMO Lab Sets New Frontier in Multi‑Model AI Performance

FUMO Lab’s Fusion Model unifies heterogeneous AI models through a closed‑loop intelligence allocation process, achieving first place on four leading benchmarks, cutting inference cost by 30‑40%, and demonstrating superior stability on scientific QA tasks with concrete case studies.

AI for ScienceBenchmarkFusion Model
0 likes · 16 min read
Fusion Model by FUMO Lab Sets New Frontier in Multi‑Model AI Performance
ZhongAn Tech Team
ZhongAn Tech Team
Aug 31, 2026 · Industry Insights

Tech Weekly: Nvidia Acquires Hugging Face, Apple 2nm Chips, OpenAI Custom Silicon

This weekly tech digest analyzes Nvidia's $12.9B Hugging Face acquisition, Apple's 2nm M6/M5 Ultra chips, OpenAI's Jalapeño AI chip challenging CUDA, PixVerse R2's interactive world models, AI-for-Science project-level agents, Siemens industrial AI, expert debates on AI learning paths, and breakthroughs in embodied intelligence and persistent AI agents.

AI for ScienceApple SiliconHugging Face
0 likes · 44 min read
Tech Weekly: Nvidia Acquires Hugging Face, Apple 2nm Chips, OpenAI Custom Silicon
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Aug 23, 2026 · Artificial Intelligence

Beyond Scaling Laws: Yaqing Wang on Data-Efficient Learning as AI’s Next Frontier (IJCAI 2026)

The article examines the limits of scaling laws, highlights the pervasive data scarcity in fields such as drug discovery and recommendation, and presents Yaqing Wang’s comprehensive analysis—from few‑shot and meta‑learning to In‑Context Learning and the DEAL framework—demonstrating how structured priors and data‑efficient agentic learning can enable reliable generalization from limited data.

AI for ScienceAgentic LearningData-Efficient Learning
0 likes · 16 min read
Beyond Scaling Laws: Yaqing Wang on Data-Efficient Learning as AI’s Next Frontier (IJCAI 2026)
Machine Heart
Machine Heart
Aug 5, 2026 · Artificial Intelligence

Why Mira Leads AI4S Benchmarks and Shows a Viable Path to Industry Deployment

The 2026 AI4S boom has turned scientific AI agents from simple assistants into autonomous research partners, and Mira demonstrates this shift by topping multiple benchmarks, cutting task costs to $0.67, and delivering a full‑cycle, secure architecture that real‑world labs can adopt.

AI for ScienceBenchmark analysisIndustry deployment
0 likes · 12 min read
Why Mira Leads AI4S Benchmarks and Shows a Viable Path to Industry Deployment
Machine Heart
Machine Heart
Jul 22, 2026 · Artificial Intelligence

Youth Voices Conclude WAIC: Pushing the Talent Ceiling and Shaping AI’s Next Phase

The WAIC "Pioneer Youth Talk" wrapped up with high‑density youth talent, policy briefings, and a world‑café format where dozens of young experts dissected self‑improving agents, world models, large‑model limits, multimodal understanding, and AI for science, highlighting both technical insights and emerging risks.

AIAI for ScienceMultimodal
0 likes · 11 min read
Youth Voices Conclude WAIC: Pushing the Talent Ceiling and Shaping AI’s Next Phase
Machine Heart
Machine Heart
Jul 19, 2026 · Artificial Intelligence

Breaking Modality Barriers with an 11B Multimodal Scientific Model “ShenZhen”

The 11‑billion‑parameter multimodal scientific foundation model “ShenZhen” unifies DNA, RNA, protein, small‑molecule, earth‑system and medical‑image data via native scientific tokens, delivering competitive benchmark results across life, material, earth and medical domains while enabling seamless cross‑modal inference and open community collaboration.

AI for ScienceBenchmarkcross-modal inference
0 likes · 15 min read
Breaking Modality Barriers with an 11B Multimodal Scientific Model “ShenZhen”
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 16, 2026 · Industry Insights

10 Cutting‑Edge AI Trends Revealed by Front‑line Researchers at ICML 2026

At ICML 2026, ten closed‑door sessions with leading researchers uncovered emerging signals—from next‑generation diffusion language models and data‑centric AI to AI‑driven finance, autonomous agents, AI as an operating system, and AI for science—highlighting the directions that will shape AI research and deployment over the next few years.

AIAI for ScienceAI safety
0 likes · 19 min read
10 Cutting‑Edge AI Trends Revealed by Front‑line Researchers at ICML 2026
Machine Heart
Machine Heart
Jul 6, 2026 · Artificial Intelligence

How a Decade-Old Graph Embedding Paper Became the Backbone of AI‑Driven Drug Design

The 2015 LINE paper won the WWW 2026 Test of Time award, and its graph‑embedding principles that once powered web search, knowledge graphs, and recommendation systems now underpin GeoFlow models achieving AlphaFold‑level protein structure prediction and breakthrough antibody design, illustrating a ten‑year journey from web graphs to AI‑driven drug discovery.

AI for ScienceGeoFlowGraph Neural Networks
0 likes · 14 min read
How a Decade-Old Graph Embedding Paper Became the Backbone of AI‑Driven Drug Design
Data Party THU
Data Party THU
Jul 6, 2026 · Artificial Intelligence

Why Even a 10× Smarter AI Scientist Won’t Speed Up Science: The 300‑Year‑Old Paper Bottleneck

The article argues that despite rapid advances in AI scientists—automating literature review, hypothesis generation, experimentation, and writing—their impact on scientific speed is limited by a three‑century‑old research protocol, peer‑review bottlenecks, and incentive misalignments, which can only be overcome by redesigning the research artifact itself.

AI for ScienceAgent‑Native Research ArtifactArtificial Intelligence
0 likes · 12 min read
Why Even a 10× Smarter AI Scientist Won’t Speed Up Science: The 300‑Year‑Old Paper Bottleneck
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 5, 2026 · Artificial Intelligence

Why Even 10× Smarter AI Scientists Won’t Accelerate Science: The 300‑Year‑Old Paper Bottleneck

The article argues that despite rapid advances in AI scientists, scientific progress remains limited by the centuries‑old paper format, peer‑review constraints, and incentive structures, and proposes an Agent‑Native Research Artifact to make research forkable and preserve failed experiments, dramatically improving reproducibility and understanding.

AI for ScienceAgent‑Native Research Artifactknowledge graphs
0 likes · 12 min read
Why Even 10× Smarter AI Scientists Won’t Accelerate Science: The 300‑Year‑Old Paper Bottleneck
PaperAgent
PaperAgent
Jul 3, 2026 · Artificial Intelligence

Anthropic and OpenAI Launch Parallel AI‑for‑Science Tools on the Same Day

On June 30 2026, Anthropic unveiled Claude Science, an AI workbench for scientists, while OpenAI introduced GeneBench‑Pro, a research‑grade benchmark, together highlighting that the next AI battlefield is the laboratory and showcasing early performance gaps between models and human experts.

AI for ScienceAI workbenchArtificial Intelligence
0 likes · 7 min read
Anthropic and OpenAI Launch Parallel AI‑for‑Science Tools on the Same Day
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jun 30, 2026 · Artificial Intelligence

LabVLA: From Thinking to Doing—What AI Still Needs to Master Scientific Labs

LabVLA introduces a Vision‑Language‑Action paradigm and a knowledge‑enhanced simulation engine to teach AI systems how to plan and execute real‑world scientific experiments, achieving 71.1%/70.0% success in simulated benchmarks and demonstrating comparable performance on a real Franka robot while highlighting remaining challenges for fully autonomous lab assistants.

AI for ScienceEmbodied AILabVLA
0 likes · 13 min read
LabVLA: From Thinking to Doing—What AI Still Needs to Master Scientific Labs
Machine Heart
Machine Heart
Jun 26, 2026 · Artificial Intelligence

LabVLA: Bridging AI Reasoning and Hands‑On Lab Automation

LabVLA introduces a vision‑language‑action framework and a knowledge‑enhanced simulation engine to enable AI models to learn and generalize scientific lab manipulation, achieving 71% success on benchmark tasks and demonstrating real‑world performance on a Franka robot, while outlining current limitations and future directions.

AI for ScienceEmbodied AILabVLA
0 likes · 12 min read
LabVLA: Bridging AI Reasoning and Hands‑On Lab Automation
Data Party THU
Data Party THU
Jun 25, 2026 · Artificial Intelligence

How Codex Is Redefining Black‑Hole Simulations and Expanding Scientific Frontiers

Using OpenAI's Codex, astrophysicist Chi‑kwan Chan generated new coordinate transformations and numerical schemes that could speed up black‑hole plasma simulations by up to a thousandfold, illustrating how AI is moving from answering questions to actively shaping scientific research workflows.

AI for ScienceChi-kwan ChanOpenAI Codex
0 likes · 6 min read
How Codex Is Redefining Black‑Hole Simulations and Expanding Scientific Frontiers
Data Party THU
Data Party THU
Jun 22, 2026 · Artificial Intelligence

From Reasoning to Physical Execution: Peking University Papers Push LLMs Toward Fully Automated Labs

The article analyzes how two Peking University papers presented at ICML 2026 and ACL 2026 introduce BioProBench and BioProAgent to benchmark and enable large language models to safely perform complex wet‑lab experiments, achieving high physical compliance and integrating into a multi‑agent AI4S LAB platform.

AI for ScienceBenchmarkBioProAgent
0 likes · 7 min read
From Reasoning to Physical Execution: Peking University Papers Push LLMs Toward Fully Automated Labs
HyperAI Super Neural
HyperAI Super Neural
Jun 11, 2026 · Artificial Intelligence

UniCM: A Unified Global Climate Mode Prediction Model Paving a New AI‑Driven Path for Climate Science

The UniCM model unifies ocean‑atmosphere climate modes in a dual‑branch transformer, achieving record‑long ENSO forecasts and revealing emergent predictability across seven key global modes, while offering interpretable attention maps that turn AI from a pure predictor into a climate discovery tool.

AI for ScienceTransformerclimate modeling
0 likes · 10 min read
UniCM: A Unified Global Climate Mode Prediction Model Paving a New AI‑Driven Path for Climate Science
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
May 27, 2026 · Cloud Native

How DeepScience and Alibaba Cloud’s AgentRun Accelerate AI Research Agents at Full Speed

The article examines how AI‑native scientific agents demand flexible, secure, and observable infrastructure, and how Alibaba Cloud’s Serverless‑based AgentRun platform delivers extreme elasticity, cost reduction, stateful long‑running support, sandbox security, and full‑chain tracing to enable rapid deployment of tens of thousands of research tools.

AI AgentsAI for ScienceAgentRun
0 likes · 9 min read
How DeepScience and Alibaba Cloud’s AgentRun Accelerate AI Research Agents at Full Speed
HyperAI Super Neural
HyperAI Super Neural
May 20, 2026 · Artificial Intelligence

Google Launches Gemini for Science, Bringing AI Closer to a Research Scientist

Google's Gemini for Science program unifies Gemini, AlphaEvolve, NotebookLM, and Co‑Scientist into a cohesive AI workflow that generates hypotheses, runs computational experiments, and extracts literature insights, aiming to shift scientific bottlenecks from raw compute to intelligent information processing.

AI for ScienceAlphaEvolveCo-Scientist
0 likes · 9 min read
Google Launches Gemini for Science, Bringing AI Closer to a Research Scientist
Data Party THU
Data Party THU
May 2, 2026 · Artificial Intelligence

Training an 11.5 B‑parameter Universal Interatomic Potential in Hours on Exascale Supercomputers

A Chinese Academy of Sciences team introduced the MatRIS‑MoE model and the Janus training framework, enabling a 11.5 billion‑parameter universal machine‑learning interatomic potential to be trained on two exascale systems at 1.2 EFLOPS, compressing weeks‑long training into a few hours.

AI for ScienceExascale trainingML interatomic potentials
0 likes · 8 min read
Training an 11.5 B‑parameter Universal Interatomic Potential in Hours on Exascale Supercomputers
Machine Heart
Machine Heart
Apr 25, 2026 · Artificial Intelligence

Open‑Source Models Dominate 21 Scientific Discovery Tasks with SimpleTES

The SimpleTES framework decomposes trial‑and‑error into three scalable dimensions—Concurrency, Length, and Candidates—enabling test‑time scaling that lets open‑source models outperform closed‑source rivals across 21 diverse scientific benchmarks, from LASSO regression to quantum circuit compilation.

AI for ScienceOpen‑source ModelsSimpleTES
0 likes · 13 min read
Open‑Source Models Dominate 21 Scientific Discovery Tasks with SimpleTES
AI Explorer
AI Explorer
Mar 2, 2026 · Operations

Huawei Team’s LLM‑Enhanced Algorithm Wins CVRP Challenge, Redefining Optimization Design

A joint Huawei and City University of Hong Kong team combined large language models with evolutionary computation to solve the capacity‑constrained vehicle routing problem, winning the CVRPLib BKS Global Challenge and demonstrating how AI can automate and transform algorithm design, heralding a new paradigm for operations optimization.

AI for ScienceCVRPEvolutionary Algorithms
0 likes · 7 min read
Huawei Team’s LLM‑Enhanced Algorithm Wins CVRP Challenge, Redefining Optimization Design
PaperAgent
PaperAgent
Nov 29, 2025 · Industry Insights

NeurIPS 2025 Insights: AI Agents, Reasoning, and the Shift to Real-World Systems

An analysis of the 5,984 papers accepted at NeurIPS 2025 shows a decisive move from ever‑larger models toward agents, reasoning‑focused LLMs, efficiency engineering, AI for Science, and trustworthy AI, signaling the transition from a research‑toy era to an engineering‑driven AI ecosystem.

AI TrendsAI for ScienceAgents
0 likes · 7 min read
NeurIPS 2025 Insights: AI Agents, Reasoning, and the Shift to Real-World Systems
HyperAI Super Neural
HyperAI Super Neural
Nov 3, 2025 · Artificial Intelligence

Demis Hassabis Shifts DeepMind from Pure Research to AI4S, Facing Ethical Tests

The article traces Demis Hassabis’s journey from chess prodigy to DeepMind CEO, detailing the company’s transition from game‑playing breakthroughs like AlphaGo to scientific initiatives such as AlphaFold and AI4S, while examining ethical debates, Nobel‑prize controversy, and calls for global AI safety standards.

AI for ScienceAI safetyAlphaFold
0 likes · 13 min read
Demis Hassabis Shifts DeepMind from Pure Research to AI4S, Facing Ethical Tests
HyperAI Super Neural
HyperAI Super Neural
Oct 31, 2025 · Industry Insights

Former OpenAI VP and DeepMind Scientist Launch AI‑Powered Science Startup with $300M Funding

Former OpenAI research VP Liam Fedus and DeepMind veteran Ekin Dogus Cubuk founded Periodic Labs to build an AI‑driven scientific platform that combines autonomous robotic labs, high‑fidelity simulations, and LLM assistants, secured $300 million in seed funding, and assembled a team of over 20 elite researchers to accelerate discovery of room‑temperature superconductors and other materials.

AI for ScienceAI startupAutonomous Lab
0 likes · 11 min read
Former OpenAI VP and DeepMind Scientist Launch AI‑Powered Science Startup with $300M Funding
DataFunSummit
DataFunSummit
Sep 14, 2025 · Artificial Intelligence

How AI is Revolutionizing Chemistry and Drug Discovery: From Data to Breakthroughs

This article explores how AI-driven models and data pipelines are transforming the chemistry and pharmaceutical sectors by accelerating drug design, improving protein‑antibody predictions, automating patent data extraction, and outlining future goals for end‑to‑end AI‑enabled scientific discovery.

AI for ScienceChemistry AIDrug discovery
0 likes · 13 min read
How AI is Revolutionizing Chemistry and Drug Discovery: From Data to Breakthroughs
HyperAI Super Neural
HyperAI Super Neural
Nov 28, 2024 · Artificial Intelligence

Why Implementing AI for Science Feels More Rewarding – Insights from Prof. Hong Liang

In an in‑depth interview, Prof. Hong Liang of Shanghai Jiao Tong University discusses the evolution of AI for Science, the challenges of turning research breakthroughs into real‑world protein‑engineering solutions, the importance of industry‑academia collaboration, and how luck, timing, and focused problem definition drive successful AI adoption.

AI for ScienceAlphaFoldBiotech
0 likes · 13 min read
Why Implementing AI for Science Feels More Rewarding – Insights from Prof. Hong Liang
AntTech
AntTech
Sep 7, 2023 · Artificial Intelligence

Scientific AI: Transforming Weather Forecasting and Accelerating Research

The article discusses how AI for Science, exemplified by a 4.5‑billion‑parameter weather model and growing international initiatives, is reshaping scientific research, fostering interdisciplinary collaboration, and driving policy and institutional investments to accelerate innovation across domains.

AI for ScienceBig ModelsWeather Forecasting
0 likes · 4 min read
Scientific AI: Transforming Weather Forecasting and Accelerating Research
DataFunTalk
DataFunTalk
Jan 27, 2023 · Artificial Intelligence

GNN for Science: Foundations, Applications, and Recent Advances in Equivariant Graph Neural Networks

This article reviews the role of graph neural networks in AI for science, covering background, the evolution of GNN models, applications in physics and biomedicine, recent advances in Euclidean equivariant GNNs, and the authors' own contributions such as GMN and GROVER, concluding with key distinctions between traditional GNNs and science‑focused approaches.

AI for ScienceGraph Neural NetworksMolecular Representation
0 likes · 16 min read
GNN for Science: Foundations, Applications, and Recent Advances in Equivariant Graph Neural Networks