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News

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eurekalert.org > news-releases > 1143495

AI helps microscopes find the most informative nanoscale features

3+ day, 16+ hour ago   (890+ words) SimuScan uses realistic synthetic data to train AI to identify important nanoscale features and guide atomic force microscopes toward the most informative regions of a sample image: AI-assisted atomic force microscopy identifies tiny surface structures such as nanostructures, DNA assemblies…...

Mirage News
miragenews.com > ai-enhances-microscopes-to-spot-key-nanoscale-1741913

AI Enhances Microscopes to Spot Key Nanoscale Features

4+ day, 7+ hour ago   (823+ words) Researchers at the Department of Energy's (DOE) Oak Ridge National Laboratory (ORNL) have developed an artificial intelligence framework that helps researchers use atomic force microscopes to identify important nanoscale features while autonomously targeting the most informative areas of a sample…...

AZoCleantech
azocleantech.com > news.aspx

Better AI Catalyst Data Speeds Up Carbon to Fuel Shift

1+ mon, 1+ week ago   (623+ words) In a SLAC-led study, four laboratories collaborated to ensure reproducibility in AI training data to predict new catalysts for future fuel production. To turn abundant carbon dioxide into valuable fuel, we need a fast and efficient way of determining which…...

TheSequence
thesequence.substack.com > p > the-sequence-knowledge-890-a-brief

The Sequence Knowledge #890: A Brief History of Model Distillation

2+ mon, 6+ day ago   (190+ words) TheSequence The Sequence Knowledge #890: A Brief History of Model Distillation The papers and techniques that laid out the ground work to evolve distillation to this level. The story most people tell about knowledge distillation starts in 2015, with Geoffrey Hinton, Oriol…...

StartupHub.ai
startuphub.ai > ai-news > ai-research > 2026 > automating-scientific-discovery

Automating Scientific Discovery

3+ mon, 2+ day ago   (218+ words) StartupHub.ai ATLAS, an active learning framework, automates the discovery of interpretable mechanistic models, achieving 5-10x sample efficiency gains. The pursuit of scientific understanding hinges on formulating incisive experimental questions that yield maximally informative data. Automating this critical step, particularly in…...

LatestLY
latestly.com > agency-news > business-news-atomesus-unveils-cipher-8b-language-model-opens-developer-api-with-substantial-free-credits-7457847.html

Business News | Atomesus Unveils Cipher 8B Language Model, Opens Developer API with Substantial Free Credits

3+ mon, 1+ week ago   (446+ words) Get latest articles and stories on Business at LatestLY. New Delhi [India], June 3: Atomesus has officially entered the artificial intelligence language model market with the launch of Cipher 8B -- a model the company has positioned squarely at software engineering, multi-step reasoning,…...

@indexbox
indexbox.io > blog > matlantis-integrates-ai-agent-into-atomistic-simulator-for-natural-language-research

Matlantis AI Agent in Atomistic Simulator: Natural-Language Research via Claude Code and GitHub Skills Library - News and Statistics

3+ mon, 1+ week ago   (355+ words) Matlantis Integrates AI Agent into Atomistic Simulator for Natural-Language Research IndexBox Search across reports, market insights, and blog stories. Matlantis Integrates AI Agent into Atomistic Simulator for Natural-Language Research A new development in atomistic simulation aims to lower the technical…...

Techzine Global
techzine.eu > news > devops > 141563 > wso2-expands-agent-fabric-with-thunderid-and-forward-deployed-engineers

WSO2 expands Agent Fabric with ThunderID and forward deployed engineers

3+ mon, 3+ week ago   (225+ words) WSO2 has announced a series of enhancements for its Agent Fabric platform. The company is introducing ThunderID, an open-source IAM stack for AI agents, and launching a Forward Deployed Engineering model to accelerate complex enterprise deployments. “The enterprise challenge today is…...

StartupHub.ai
startuphub.ai > ai-news > ai-research > 2026 > microsoft-s-mattersim-accelerates-material-discovery

Microsoft's MatterSim accelerates material discovery

4+ mon, 1+ day ago   (318+ words) StartupHub.ai Microsoft's MatterSim accelerates material discovery Microsoft's MatterSim AI platform achieves experimental validation, faster simulations, and introduces a powerful multi-task model for advanced material discovery. Microsoft Research is pushing the boundaries of material science with significant updates to its…...

Nature
nature.com > articles > s42004-026-01993-w

Verification and execution of the scientific literature via chemputation augmented by large language models - Communications Chemistry

5+ mon, 1+ week ago   (1250+ words) School of Chemistry, The University of Glasgow, University Avenue, Glasgow, UK L.C. conceived the idea and research plan together with S.P. and M.J. S.P. built and developed the workflow for the implementation of ACRA module, with contribution of M.J. S.P. and M.J. implemented the experimental setup. M.J. and…...