Large Language Model– tag –
-
IBM Revolutionizes AI Chip Design with Sub-1 nm NanoStack, Achieving 50% Performance Boost or 70% Power Reduction
Data Center Knowledge USA Overview IBM has announced "NanoStack," an innovative semiconductor technology extending chip scaling to sub-1 nm to meet the growing demands of AI workloads. This 3D architecture, which vertically stacks transi... -
LLM and MLIP Break Solid Electrolyte Discovery Bottlenecks, AI Closed-Loop Architecture Accelerates Development
arXiv Unknown Overview An innovative approach integrating large language models (LLMs) and machine learning potentials (MLIPs) is proposed to address bottlenecks in solid electrolyte discovery. A closed-loop architecture, combining AI-dr... -
Causal-Aware Framework “ARIA” Enhances LLM Reliability in 2D Material Design by Integrating Causal Reasoning
arXiv Unknown Overview Addressing the challenge of generative models failing to satisfy physical causality in materials discovery, the ARIA framework extends large language models (LLMs) with causal reasoning. Utilizing knowledge graphs,... -
DeepMind’s GNoME and Microsoft’s MatterGen Drastically Accelerate AI-Driven Materials Discovery, Rapidly Screening Millions of Inorganic Crystals
AI CERTs News USA Overview Advanced AI pipelines like DeepMind's GNoME and Microsoft's MatterGen are leveraging graphene neural networks and machine learning potentials to screen millions of inorganic crystals at unprecedented speeds. Th... -
Oxford Academic: Machine Learning and LLM Synergy Uncovers High-Entropy Alloy Electrocatalytic Activity, Enabling High-Throughput Discovery
National Science Review (Oxford Academic) China Overview Research published in Oxford Academic combined machine learning (including GNNs) with an LLM-driven collaborative framework to unveil correlations between high-entropy alloy (HEA) ... -
LLM Automates Thermal Transport Screening in Co-Cr-Ni Medium-Entropy Alloys, Proving Concept for Autonomous Materials Discovery Workflow
ChemRxiv USA Overview This study presents a reproducible, closed-loop workflow integrating a Large Language Model (LLM) decision module with molecular dynamics simulations to automate thermal transport screening in Co-Cr-Ni medium-entrop... -
AI Drives Rapid Design and Modeling of Organic Electrochemical Energy Materials for Advanced Batteries
ChemRxiv USA Overview Artificial intelligence is dramatically transforming the computational design and modeling of organic electrochemical energy materials (OEEMs) through data-driven property prediction, machine learning interatomic po... -
Microsoft Unveils Enhanced AI Agent Capabilities for Dynamics 365, Boosting Productivity in Customer Service, Sales, and Marketing
Microsoft Official Blog USA Overview Microsoft has announced the introduction of significantly enhanced AI agent capabilities for its integrated business application suite, Dynamics 365. These new features will provide advanced automatio... -
Google Cloud Significantly Expands AI Infrastructure in Asia-Pacific with New High-Performance GPU Cluster Deployments
Google Cloud Blog USA Overview Google Cloud has announced a substantial expansion of its AI infrastructure in the Asia-Pacific region, commencing the deployment of new high-performance GPU clusters. This strategic investment directly add... -
AI Chip InnovateChip Secures Multi-Year Supply Deal with Hyperscale Cloud Provider — Massively Supplying Inference Chips for Next-Gen AI Data Centers
Semiconductor Engineering USA Overview InnovateChip, an emerging AI chip manufacturer, has announced a multi-year supply agreement for its AI accelerators with a leading hyperscale cloud provider. This landmark deal will see InnovateChip...
