Xiaomi's HarnessX rewrites its own AI scaffolding mid-task — and smaller models gain the most

Xiaomi's HarnessX autonomously rewrites AI agent harnesses mid-execution, delivering +14.5% avg performance gains — and +44% ...

AI Is Designing Radio Chips That Humans Couldn’t Even Imagine

SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and ...
Aerospace and Mechanical Insider on MSN

Reinforcement learning tames confined cylinder wakes

In fluid dynamics, the wake behind a cylinder can exhibit complex vortex shedding, a phenomenon that becomes even more ...

From Reels to risks: How scammers are turning videos into malware traps

Cybercriminals are moving beyond email scams and into social media feeds, using tutorial-style videos on TikTok and Instagram to spread malware and steal credentials ...
IEEE

RL-Routing: An SDN Routing Algorithm Based on Deep Reinforcement Learning

Abstract: Communication networks are difficult to model and predict because they have become very sophisticated and dynamic. We develop a reinforcement learning routing algorithm (RLRouting) to solve ...
techtimes

NVIDIA ENPIRE Closes the Loop: AI Agents Now Run Robotics Research on Real Hardware

As Jensen Huang addresses a packed hall at VivaTech 2026 in Paris today with physical AI as his central theme, the NVIDIA research lab behind his bolder claims just published the most concrete ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
GitHub

RL Dresden Algorithm Suite

This suite implements several model-free off-policy deep reinforcement learning algorithms for discrete and continuous action spaces in PyTorch. DQN Single Discrete Mnih et. al. 2015 Double DQN Single ...
IEEE

Data-Driven Inverse Reinforcement Learning Control for Linear Multiplayer Games

Abstract: This article proposes a data-driven inverse reinforcement learning (RL) control algorithm for nonzero-sum multiplayer games in linear continuous-time differential dynamical systems. The ...
Morning Overview on MSN

Doctors say a few routine blood tests can flag trouble years before symptoms appear

Millions of patients walk out of primary-care offices each year with lab results that read “normal” while early signs of ...
GitHub

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems

The lack of standardized benchmarks for reinforcement learning (RL) in sustainability applications has made it difficult to both track progress on specific domains and identify bottlenecks for ...
cmu.edu

Olexandr Isayev

Associate Editor, Journal of Chemical Information and Modeling, ACS Affiliate faculty, CMU-Pitt Computational Biology Ph.D. Program Affiliate faculty, CMU-Pitt Molecular Biophysics and Structural ...