…AI-generated summary On-policy distillation offers dense, per-token supervision for training reasoning models; however, it remains unclear under which conditions this signal is beneficial and under which it is detrimental…
…Yao , , , , , , , Abstract World-Action Interactive Models (WAIMs) jointly model scene evolution and actions through recursive refinement, enabling effective long-horizon planning in autonomous driving scenarios. AI-generated summary A plausible scene evolution…
…Its AI assistant Siri lacks the capabilities of competing products from Google, Microsoft, OpenAI, and Anthropic, and it relies on other companies for the underlying models. Microsoft and Google have both gone…
…By • April 21, 2026 • • • Add AndroidAuthority on Google TL;DR Samsung is bringing Galaxy S26 AI features to older flagships via the One UI 8.5 beta. The rollout covers a wide…
…On top of this harness, On-policy Data Evolution (ODE) runs a closed-loop data generator that refines itself across rounds from rollouts of the policy being trained. This per-round refinement…
…Leading across the open model public leaderboards central to physical AI, the world foundation model provides core capabilities for physical AI development. NVIDIA physical AI skills pair with Cosmos, NVIDIA libraries and…
…most of its recent AI-powered features, the tool is already receiving upgrades. For reference, in February, the tech giant added Google DeepMind's music-generation model directly into Gemini, giving Gemini…
…Additionally, this health information will not be used for advertising or to train AI models. While Copilot Health is currently available in the United States, Microsoft has not yet announced whether the…
…George Wu , , Qing Yi , , , , , , , Abstract TMAS is a multi-agent framework for test-time scaling that enhances large language model reasoning through structured collaboration and hierarchical memory systems. AI-generated summary Test…
…AI-generated summary Self-distillation has emerged as a powerful framework for post-training LLMs, where a teacher conditioned on extra information guides a student without it, both from the same model…
