Carnegie Mellon University

SURF Project Scales New Heights in Rescue Robotics

When Leo Wang arrived at Carnegie Mellon University from Hong Kong, he was already fascinated by robots. But it wasn’t until he joined the Robomechanics Lab led by Aaron Johnson that his interest ...
InfoQ

Microsoft Agent Framework RC Simplifies Agentic Development in .NET and Python

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Microsoft

UniRG: Scaling medical imaging report generation with multimodal reinforcement learning

AI can be used to produce clinically meaningful radiology reports using medical images like chest x-rays. Medical image report generation can reduce reporting burden while improving workflow ...
VentureBeat

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
GitHub

PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning

This is the official implementaion of paper PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning. This repository contains Pytorch training code and evaluation code.
VentureBeat

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
acm.org

Shields for Safe Reinforcement Learning

Download PDF Join the Discussion View in the ACM Digital Library Deep reinforcement learning (DRL) has elevated RL to complex environments by employing neural network representations of policies. 1 It ...
Forbes

How To Use ChatGPT To Learn High-Income Skills That Pay $100,000+

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. Since ChatGPT was launched, professionals have used it for ...
Forbes

90% Of College Students Use AI: Higher Ed Needs AI Fluency Support Now

Forbes contributors publish independent expert analyses and insights. Dr. Legatt explores the intersection of education, AI, and leadership. The clearest signal yet that artificial intelligence has ...
The Conversation

Chalk and talk vs. active learning: what’s holding South African teachers back from using proven methods?

Lizélle Pretorius received funding from UNISA as part of a bursary when completing her PhD. She is currently a member of ISATT (International Study Association of Teachers and Teaching) and the Junior ...