After developers train an AI model using Prime Intellect’s platform, they can deploy it on inference infrastructure managed ...
EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 ...
Xiaomi's HarnessX autonomously rewrites AI agent harnesses mid-execution, delivering +14.5% avg performance gains — and +44% ...
Around the 2026 FIFA World Cup, Hyundai and Boston Dynamics have taught footwork to the Atlas humanoid, while the Spot robot ...
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 ...
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 ...
Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...
Freed from intelligibility and aesthetics, AI designs faster ...
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 ...
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 ...