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Google Cloud AI Research has released Harness², an open-source framework (Apache-2.0, v0.1.0) that refines an agent's harness—prompts, tools, memory, skills, orchestration and other components—at deployment time whi...
Kyutai, with Inria and École des Ponts, has released REKI, a 2.4B-parameter vision-language-action model for robot manipulation that was pretrained only on public data. It pairs a Qwen3.5-2B backbone with a 200M-paramete...
NVIDIA released Nemotron 3.5 Super VL, an open vision-language agent model with 120B total parameters and 12B active per token in a mixture-of-experts design, supporting text, image, document and video input with up to 1...
DeepSeek shipped DeepSeek-V4.1-Flash-1017, a post-training checkpoint of its V4.1-Flash model served as deepseek-flash via OpenAI- and Anthropic-format endpoints. DeepSeek reports it beats the prior V4.1-Flash release on...
MarkTechPost compares 20 decision models released within about four weeks of TypeSafe's Jev launch, spanning Cloudflare, OpenAI, Perplexity, Liquid AI, AWS's Strands Labs and independent developers. The guide l...
Microsoft Research announced Skala-1.1, an updated deep-learning exchange-correlation functional trained on 2.5x more data than its predecessor, reporting a weighted average error of 2.8 kcal/mol on the GMTKN55 benchmark...
MIT Technology Review reports that while Elon Musk and others predict humanoid robots will soon transform labor and daily life, many robotics researchers remain skeptical. The piece details current systems like Google De...
Researchers at Berkeley AI Research have developed a quantitative theory showing that, under mild approximations, word2vec's learning problem reduces to unweighted least-squares matrix factorization. They prove that...
Berkeley AI Research presents Transitive RL (TRL), an off-policy value-learning algorithm based on divide and conquer rather than temporal difference (TD) learning. TRL updates values via a transitive Bellman rule using...
Berkeley AI Research introduced a framework that estimates mutual information between objects and measurements to evaluate and optimize imaging systems. The method computes H(Y|X) directly from known noise physics and le...
Berkeley AI Research researchers propose GRASP (Gradient RelAxed Stochastic Planner), a gradient-based planner for learned world models that targets long-horizon planning. GRASP lifts the dynamics constraint into virtual...
A Berkeley AI Research blog post surveys adaptive parallel reasoning (APR), a paradigm where reasoning models decide when to decompose tasks, spawn concurrent threads, and coordinate them. It contrasts APR with fixed met...
A Berkeley AI Research perspective argues that rapidly falling inference costs will make agents the dominant workload for data systems. It outlines three research agendas: redesigning data systems for agentic speculation...
Researchers at IBM Research, building on Berkeley Sky Lab's K-Search evolutionary kernel-search framework, added a native MLX backend and a structured CUDA-to-MLX translation layer to bring CUDA kernel expertise to...
The Technology Innovation Institute (TII) has released Falcon-ASR, a 1.6B-parameter Arabic speech recognition model focused on the Emirati dialect that also handles English, French, Spanish, and Portuguese. TII reports a...
Alibaba's Qwen team introduced QwenGyre, an online reinforcement learning framework for extreme-long-horizon agent training using black-box harnesses. It uses elastic GPU cells that switch between rollout and traini...
Liquid AI released LFM2.5-24B-A2B, an open-weight 24B-parameter Mixture-of-Experts reasoning model with about 2B active parameters and 131,072-token context, targeted at local agent loops. It runs via GGUF/MLX on laptops...
