DeepMind shows Gemini-Robotics generalises to unseen kitchen tasks zero-shot · DeepSignalDeepMind shows Gemini-Robotics generalises to unseen kitchen tasks zero-shot
Gemini-Robotics generalises zero-shot to unseen kitchen manipulation tasks across two new robot bodies.
Key Points
- Pouring, plating, and dishwasher tasks succeed without per-task tuning.
- Two never-seen robot embodiments are supported.
- Built on top of Gemini's multimodal backbone.
Reader Mode is being prepared.
AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields
AI Summary
AlphaEvolve utilizes Gemini algorithms to enhance efficiency in various sectors including business and science.
Gemini 2.5 Flash hits 1M tokens/s aggregate on Google Cloud TPU v5p
AI Summary
Gemini 2.5 Flash sustains 1M tokens/s aggregate on TPU v5p, lowering TCO for high-traffic deployments.
Announcing our partnership with the Republic of Korea
AI Summary
Google DeepMind partners with Korea to enhance scientific advancements through advanced AI models.

arXiv cs.CL·Luis Lara, Aristides Milios, Zhi Hao Luo, Aditya Sharma, Ge Ya Luo, Christopher Beckham, Florian Golemo, Christopher Pal 2d agoGenerative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards
AI Summary
A new LLM-based approach generates floor plans while adhering to numerical and topological constraints using reinforcement learning.

arXiv cs.CV·Alvaro Lopez Pellicer, Plamen Angelov, Marwan Bukhari, Yi Li, Eduardo Soares, Jemma Kerns 2d agoProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows
AI Summary
ProtoMedAgent enhances clinical interpretability by integrating multimodal reporting with privacy-aware workflows.
China bypasses US GPU bans with 1.54-exaflops 'LineShine' supercomputer — CPU-only monster packs 2.4 million Huawei-designed Armv9 cores
AI Summary
China's LineShine supercomputer achieves 1.54 exaflops using 2.4 million Armv9 cores, circumventing US GPU restrictions.
67
≥75 high · 50–74 medium · <50 low
Why Featured
Cross-embodiment generalisation has been the missing piece for general-purpose home robots — this is real progress.