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Google Research
Trends
- 1Google's Project Suncatcher to put ML infrastructure in space●Google’s Project Suncatcher to put ML infrastructure in space
Google has announced Project Suncatcher, a research initiative exploring the deployment of machine learning infrastructure in space. The plan involves placing solar-powered computing hardware, including TPUs, on satellites to take advantage of near-constant sunlight and reduce terrestrial energy demands for AI. The initiative remains in early testing stages, with prototype launches planned, and observers are debating its technical feasibility and costs.
- 2NVIDIA's Physis-Lang Pushes Cosmos 3 Past Veo 3.1 on Physics●NVIDIA Researchers Introduce Physis-Lang: Self-Evolving Physical Language That Lifts Cosmos 3 Past Veo 3.1 on Physics Benchmarks
NVIDIA researchers have introduced Physis-Lang, a self-evolving physical language designed to improve how AI models understand and simulate physical dynamics. According to reports, the technique lifted NVIDIA's Cosmos 3 video generation model past Google's Veo 3.1 on physics benchmarks, suggesting stronger real-world motion and interaction fidelity in generated video.
- 3Ohio State partners with Google Cloud on AI research and education●Ohio State, Google Cloud partner to increase AI research, education
Ohio State University has announced a partnership with Google Cloud aimed at expanding artificial intelligence research and education at the institution. The collaboration is expected to give students and faculty greater access to cloud computing tools and support AI-focused academic programs. Details about funding or specific projects have not yet been made public.
- 4NotebookLM turns research notes into podcast, changing skeptic's mind▼NotebookLM turned my research notes into a podcast and I changed my mind about AI note tools. Google's NotebookLM takes
Google's NotebookLM is winning over users who were skeptical of AI note-taking tools. The tool takes personal notes and documents, then lets users ask questions, generate summaries, and create podcast-style audio overviews from them. One researcher described trying it on their research notes and coming away with a changed opinion, though noting real learning still comes from writing notes yourself.
- 5Google report examines AI's growing role in science●AI in Science - scientists use it lot, which can then be reused by the AI models. https:// ai.google/static/documents/AI
Google has published 'AI in Science: Early Insights', a 42-page report by researchers including Mihai Codreanu, Alex Imas, Juan Mateos-Garcia, Joseph Emmens, Evalyne Muiruri, Arthur Turrell and Julian Jacobs. It looks at how heavily scientists are using AI in their work and how the outputs of that research can in turn be reused to train future AI models, creating a feedback loop between science and machine learning.
- 6Timnit Gebru wins 2026 Right Livelihood Award●Pioneering AI researcher Timnit Gebru receives 2026 Right Livelihood Award for challenging concentrated power in technology
AI researcher Timnit Gebru has been named a recipient of the 2026 Right Livelihood Award, honouring her work challenging concentrated power in the technology industry. Gebru, known for her research on the risks of large-scale AI and her high-profile departure from Google, is recognised for holding major tech companies accountable. The Right Livelihood Award, often called the Alternative Nobel Prize, supports people working on justice and human rights.
- 7Phishing Warning Issued for Google Docs Drawing Link▼Possible Phishing 🎣 on: ⚠️hxxps[:]//docs[.]google[.]com/drawings/d/1gpJivSsThHrL10szmVZFyBMdW6Lmi6oghTnGmLmgQBk/edit 🧬 A
Cybersecurity researchers are flagging a malicious Google Docs Drawings link being used in a suspected phishing campaign. The URL has been defanged and submitted for automated analysis on the urlDNA scanning platform, which examines page behavior and infrastructure for signs of fraud. Security professionals are sharing the warning to alert others not to open the link and to illustrate how attackers abuse trusted Google services to lend credibility to scams.
- 8
A Google researcher says LeetCode-style puzzles should not be used to assess senior engineering candidates, arguing that algorithm drills measure practice rather than real research or design ability. The claim has reignited the long-running debate over technical hiring, with many engineers agreeing that take-home projects and past work reveal more, while others defend standardized coding challenges as fair and scalable.
Repos
- google-research/rrsi
- tensorflow/tensorflow An Open Source Machine Learning Framework for Everyone
- zhengkid/Dream-RSI The offical repo for "Dream-RSI: Recursive Self-Improvement through Evolving Worlds"