NAVER LABS Europe is offering a 2026 Research Internship in Large Language Models, focusing on AI Alignment, Controlled Generation, and Machine Learning Research

Global South Opportunities·2h ago

Evaluating Deep Agents using LangSmith on AWS

This post combines learnings from LangChain’s work on evaluating deep agents and Anthropic’s guide to demystifying evals for AI agents into a practical guide. In this post, you will learn how to: 1)...

AWS ML Blog·21h ago

Cross-material catalyst discovery via deep learning

Nature·1d ago

Machine Learning Can’t Pick Winning Funds. But It Can Help You Avoid Losers

Morningstar·1d ago

Top 10: Machine Learning Platforms for Energy

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way including Envision and Uplight ...

Energy Digital·2d ago

The Hidden Bottleneck in Quantum Machine Learning: Getting Data into a Quantum Computer

Towards Data Science·May 22

Q&A: A Machine-Learning-Based Tool to Enhance Clinical Care of Patients With Multiple Sclerosis

Physician's Weekly·3h ago

Machine Learning Predicts Recurrence of Barrett's Esophagus

Medscape·22h ago

Predicting Individuals at Risk of Diabetes Using Machine Learning

Cureus·1d ago

NVIDIA Releases Polar, a Token-Faithful Rollout Framework for GRPO Training Across Codex, Claude Code, and Qwen Code

NVIDIA researchers have introduced Polar, a rollout framework that trains language agents using reinforcement learning without modifying their agent harnesses. Polar places a model API proxy between...

Marktechpost·2d ago

From idea to AI app: Creating intelligent research assistants with Strands

Building an AI app shouldn’t require a PhD in machine learning (ML) or months of wrestling with complex architectures. Yet that’s exactly what happens when you try to orchestrate multiple API calls,...

AWS ML Blog·3d ago

Machine learning personalizes depression treatment with the help of wearable technology

Researchers report substantial decreases in depression symptoms by tailoring behavioral interventions based on data participants collect about their own moods and daily habits.

University of California·May 21

HTC-19 Update: Artificial Intelligence and Machine Learning

Chromatography Online·21h ago

Student research uses machine learning to improve heart disease diagnosis

Kennesaw State University·1d ago

Machine learning closes research gaps in drug safety during pregnancy, research shows

Medical Xpress·1d ago

Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model

by Sean Moran — How to Turn Simple Head-to-Head Choices Into Probabilistic Rankings The post Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model appeared first on Towards Data Science.

Towards Data Science·2d ago

DOE Explains...Machine Learning

Department of Energy (.gov)·6d ago

The next phase of OpenAI’s Education for Countries

OpenAI advances Education for Countries, expanding AI adoption in schools with new partnerships, teacher training, and tools to improve global learning outcomes.

OpenAI·May 20