Machine Learning News and Research

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Machine learning is a subfield of artificial intelligence that focuses on developing algorithms and models capable of automatically learning and making predictions or decisions from data without being explicitly programmed. It involves training models on labeled datasets to recognize patterns and make accurate predictions or classifications in new, unseen data.

AI-Built Materials Map Accelerates Discovery Of High-Performance Thermoelectrics

Researchers at Tohoku University have developed an AI-driven “materials map” that integrates experimental and computational data, offering a powerful tool to identify high-performing thermoelectric materials. The approach shortens development timelines by guiding researchers to promising candidates at a glance.

28 Aug 2025

NASA Launches Surya AI to Predict Solar Storms and Decode the Sun

NASA has unveiled Surya, a new heliophysics AI foundation model trained on Solar Dynamics Observatory data to decode the Sun’s behavior. The model promises breakthroughs in space weather forecasting, protecting satellites, power grids, aviation, and communications from solar storms.

27 Aug 2025

AI-Powered Rainbow Lab Accelerates Quantum Dot Discovery For Next-Gen Tech

Researchers at NC State have developed Rainbow, the world’s first multi-robot self-driving laboratory that autonomously discovers high-performance quantum dots. Powered by AI and advanced robotics, Rainbow can run up to 1,000 experiments daily, accelerating discovery and scaling seamlessly from lab to manufacturing.

26 Aug 2025

How This 9-Point Checklist Aims to Fix AI Reporting in Veterinary Pathology

A new editorial in Veterinary Pathology introduces a 9-point checklist to enhance transparency and reproducibility in studies using AI-based automated image analysis. The guidelines aim to standardize reporting and support meaningful implementation of AI tools in veterinary pathology.

25 Aug 2025

AI Framework Learns Cellular Rules To Predict And Control Organ Growth

Harvard researchers have developed a computational framework that learns the genetic and physical “rules” guiding how cells self-organize into tissues and organs. Using automatic differentiation, the system models and predicts morphogenesis, offering a path toward engineering organs or controlling cell growth.

22 Aug 2025

AI Predicted Fusion Ignition Days Before Historic 2022 Breakthrough

Lawrence Livermore National Laboratory researchers used an AI-driven cognitive simulation model to successfully predict fusion ignition days before the historic Dec. 5, 2022 shot at the National Ignition Facility. Trained on 150,000 simulations, the model forecasted a 74% chance of surpassing energy breakeven.

22 Aug 2025

Robots Learn To Detect Drinking Water With Machine Learning And Smart Decision-Making

A study in Robot Learning demonstrates how combining decision-making with machine learning enables robots to detect, analyze, and classify drinking water samples. Using TOPSIS and Random Forest on a large dataset, researchers improved classification accuracy to 73% and integrated the system into a robotic platform.

21 Aug 2025

MIT Engineers Harness AI To Crack The Solubility Code For Drug Discovery

MIT chemical engineers have developed a machine learning model that predicts molecular solubility in organic solvents with high accuracy, streamlining pharmaceutical synthesis. The freely available tool could accelerate drug development and help identify safer, more sustainable solvents.

20 Aug 2025

Megalibrary Accelerates Green Hydrogen Catalyst Discovery, Paving the Way for AI-Driven Materials Design

Researchers at Northwestern University and Toyota Research Institute used an AI-driven "megalibrary" of millions of nanoparticles to rapidly discover a low-cost hydrogen catalyst. The material matches or exceeds iridium’s performance but is far cheaper and more abundant, boosting clean energy prospects.

20 Aug 2025

AI-Powered Index Maps U.S. Hot Spots For Growing Power Outage Risks

Texas A&M researchers created the Power System Vulnerability Index (PSVI), a nationwide tool that uses machine learning to map regions most at risk of weather-driven power outages. Results show a 20% annual increase in outage duration, frequency, and magnitude since 2019.

19 Aug 2025

Custom AI Model GAMES Accelerates Drug Discovery With Smarter Molecular Design

Southwest Research Institute developed GAMES, a custom large language model that generates molecular SMILES strings to accelerate drug discovery. Integrated with SwRI’s Rhodium™ software, it improves compound screening efficiency and reduces invalid molecular outputs.

19 Aug 2025

AI Trained on Human Games Improves Chess Bots’ Human-Like Decision-Making

An AI-powered chess bot named Allie, developed at Carnegie Mellon University, mimics human thought processes and playing styles. Unlike traditional engines, Allie was trained on millions of human games and adapts to different skill levels, making it more relatable and instructive for players.

18 Aug 2025

Artificial Intelligence Accelerates Solid-State Battery Breakthroughs From Lab To Market

A review from Soochow University and Nanjing University highlights how machine learning is accelerating solid-state battery research, from discovering high-performance materials to optimizing ion transport and enabling predictive battery management. AI-driven insights are bringing market-ready SSBs closer to reality.

15 Aug 2025

AI Breakthrough Speeds Up Fusion Reactor Design by Mapping Plasma Heat Shadows in Milliseconds

A collaboration between Commonwealth Fusion Systems, PPPL, and ORNL has developed HEAT-ML, an AI tool that rapidly identifies “magnetic shadows” in fusion reactors, protecting components from extreme plasma heat.

14 Aug 2025

AI Chatbots Spread Medical Misinformation but a Simple Prompt Fix Cuts Errors in Half

A new study from the Icahn School of Medicine at Mount Sinai shows that AI chatbots frequently repeat and elaborate on false medical information embedded in user prompts. However, a simple warning line added to the input cut these hallucinations nearly in half, offering a promising safety solution.

14 Aug 2025

Researchers Tackle Energy Waste in Federated Learning With Smarter Edge Strategies

This review analyzes recent strategies to improve energy efficiency in federated learning (FL) systems deployed in mobile edge computing environments. It explores learning-based, resource allocation, and client selection approaches while addressing challenges like device heterogeneity, communication overhead, and energy constraints.

13 Aug 2025

AI Detects Toxic Food Contaminants Before They Reach Your Plate

Artificial intelligence combined with hyperspectral imaging can now detect toxic fungal contaminants like mycotoxins in grains and nuts before they reach consumers. This breakthrough offers a rapid, non-destructive method to improve global food safety and reduce millions of preventable deaths.

13 Aug 2025

AI Spots Star’s Fatal Spiral Into a Black Hole, Then It Explodes

Astronomers have observed SN 2023zkd, a bizarre stellar explosion likely triggered by a massive star's failed attempt to engulf a black hole companion. The event was detected early by AI and captured in unprecedented detail, revealing a rare binary death dance.

13 Aug 2025

Open Molecules 2025 Powers a New Era of AI-Driven Chemistry

Open Molecules 2025 is a landmark dataset of over 100 million quantum-level molecular simulations, developed by Meta and U.S. national labs, to train machine learning models for chemistry. It paves the way for rapid, low-cost predictions in drug discovery, energy storage, and materials science.

17 Jun 2025

New AI Method Cleans Dirty Data Before Training And Boosts Model Accuracy

Researchers at Florida Atlantic University have developed an automated method to detect and remove mislabeled data before training machine learning models, significantly improving their reliability and performance. The approach uses L1-norm principal component analysis to identify outliers without manual tuning or assumptions.

17 Jun 2025

Machine Learning News and Research

AI-Built Materials Map Accelerates Discovery Of High-Performance Thermoelectrics

NASA Launches Surya AI to Predict Solar Storms and Decode the Sun

AI-Powered Rainbow Lab Accelerates Quantum Dot Discovery For Next-Gen Tech

How This 9-Point Checklist Aims to Fix AI Reporting in Veterinary Pathology

AI Framework Learns Cellular Rules To Predict And Control Organ Growth

AI Predicted Fusion Ignition Days Before Historic 2022 Breakthrough

Robots Learn To Detect Drinking Water With Machine Learning And Smart Decision-Making

MIT Engineers Harness AI To Crack The Solubility Code For Drug Discovery

Megalibrary Accelerates Green Hydrogen Catalyst Discovery, Paving the Way for AI-Driven Materials Design

AI-Powered Index Maps U.S. Hot Spots For Growing Power Outage Risks

Custom AI Model GAMES Accelerates Drug Discovery With Smarter Molecular Design

AI Trained on Human Games Improves Chess Bots’ Human-Like Decision-Making

Artificial Intelligence Accelerates Solid-State Battery Breakthroughs From Lab To Market

AI Breakthrough Speeds Up Fusion Reactor Design by Mapping Plasma Heat Shadows in Milliseconds

AI Chatbots Spread Medical Misinformation but a Simple Prompt Fix Cuts Errors in Half

Researchers Tackle Energy Waste in Federated Learning With Smarter Edge Strategies

AI Detects Toxic Food Contaminants Before They Reach Your Plate

AI Spots Star’s Fatal Spiral Into a Black Hole, Then It Explodes

Open Molecules 2025 Powers a New Era of AI-Driven Chemistry

New AI Method Cleans Dirty Data Before Training And Boosts Model Accuracy

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