The DeepMind trio who built a poker AI are now making money for quant hedge funds

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 ...

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 ...
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 ...
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 ...
Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...