Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...

New research explains why AI models don't just hallucinate randomly but converge on the same invented names repeatedly. The pattern stems from how LLMs ...

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting ...

Abstract: In multi-robot systems (MRS) operating across various applications, real-time task allocation and path planning pose significant challenges, often requiring extensive human intervention ...

NVIDIA launches high-performance, energy-efficient NVIDIA Vera CPUs to drive diverse workloads across industries, including agentic ...

EE-RL/ ├─ train.py # Training entry ├─ eval.py # Evaluation entry ├─ config.py # Configuration and algorithm parameters ├─ eval_plots.py # Plotting and summary ├─ utils.py # Utilities ├─ ...

Kangrui Wang*, Pingyue Zhang*, Zihan Wang*, Yaning Gao*, Linjie Li*, Qineng Wang, Hanyang Chen, Chi Wan, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Yejin Choi, ...