4+ hour, 44+ min ago  (512+ words) Building autonomous AI agents in Python is now accessible to beginners, requiring only basic programming knowledge. Unlike simple chatbots that wait for specific prompts, AI agents can observe, plan, analyze, and execute tasks with minimal human intervention. A recent tutorial…...

1+ week, 6+ hour ago  (205+ words) Self-Distilled Agentic Reinforcement Learning Hyper AI Self-Distilled Agentic Reinforcement Learning Zhengxi Lu Zhiyuan Yao Zhuowen Han Zi-Han Wang Jinyang Wu Qi Gu Xunliang Cai Weiming Lu Jun Xiao Yueting Zhuang 1 more Reinforcement learning (RL) has emerged as a central paradigm…...

3+ week, 5+ day ago  (66+ words) Claw Mark: un benchmark du monde vivant pour les agents collaborateurs multimodaux sur plusieurs tours et plusieurs jours 1. Dataset composition and sources 2. Key details for each subset 3. How the paper uses the data 4. Processing and metadata construction De l'id'e au…...

1+ mon, 2+ day ago  (143+ words) To improve the generation of playable GUI applications, the authors propose Play Coder, a multi-agent, repository-aware framework that utilizes closed-loop control and the Play Tester agent to perform interactive, task-oriented evaluations that detect and repair silent logic flaws missed by…...

1+ mon, 1+ week ago  (792+ words) Researchers from the University of Michigan have developed a groundbreaking hardware-software co-design that enables high-efficiency AI processing on edge devices. Published in Nature Communications, the study demonstrates how this approach significantly reduces energy consumption and latency, allowing for the real-time…...

1+ mon, 2+ week ago  (117+ words) RAGEN-2: " " " Agentic RL By identifying template collapse as a failure mode where agentic reinforcement learning models adopt input-agnostic reasoning patterns despite stable entropy, the RAGEN-2 study proposes using mutual information proxies for diagnosis and introduces SNR-Aware Filtering to improve performance…...

1+ mon, 2+ week ago  (121+ words) RAGEN-2 Agentic RL'Reasoning Collapse'hyper. ai By identifying template collapse as a failure mode where agentic reinforcement learning models adopt input-agnostic reasoning patterns despite stable entropy, the RAGEN-2 study proposes using mutual information proxies for diagnosis and introduces SNR-Aware Filtering to…...

1+ mon, 2+ week ago  (738+ words) Survival analysis, originally developed for medical research to model patient lifespans, has evolved into a powerful statistical tool for predicting time-to-event outcomes in business domains such as customer retention and employee churn. Unlike standard regression models that struggle with ongoing…...

1+ mon, 2+ week ago  (38+ words) hyper. ai Deep Tutor Personal Learning Assistant Build AI with AI From idea to launch " accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs....

1+ mon, 3+ week ago  (15+ words) Voxtral 4 B TTS 2603 "hyper. ai Voxtral 4 B TTS 2603 " " AI " AI " AI " GPU "," AI "...