AI news
Evaluating alignment of behavioral dispositions in LLMs
Researchers have introduced a framework called “Evaluating Alignment of Behavioral Dispositions in LLMs” to study how closely large language models ... Read more
Building better AI benchmarks: How many raters are enough?
New research says the field of AI has long relied on a “single truth” paradigm, where each input is expected ... Read more
Safeguarding cryptocurrency by disclosing quantum vulnerabilities responsibly
A discussion of vulnerability disclosure in blockchain security says that public release of attack details can create risks, but controlled ... Read more
Vibe Coding XR: Accelerating AI + XR prototyping with XR Blocks and Gemini
Google has published acknowledgements for a collaboration involving multiple teams on a project that includes the XR Blocks framework. The ... Read more
TurboQuant: Redefining AI efficiency with extreme compression
A new research note describes TurboQuant, a compression algorithm aimed at reducing the memory overhead that comes with vector quantization ... Read more
Mapping the modern world: How S2Vec learns the language of our cities
Google Research has introduced S2Vec, a self-supervised framework designed to learn general-purpose embeddings of the built environment as part of ... Read more
Google Research at The Check Up: from healthcare innovation to real-world care settings
Researchers say multimodal open-weight models and multi-agent systems could change healthcare by making it more accurate and personalized, improving disease ... Read more
Improving breast cancer screening workflows with machine learning
A study of an AI system for mammogram screening evaluated both standalone performance and how it could fit into real ... Read more
Testing LLMs on superconductivity research questions
A test case comparing large language models on scientific literature found that models drawing from curated databases of experimental papers ... Read more
Protecting cities with AI-driven flash flood forecasting
A new flood-warning model aims to extend early warning coverage beyond hyper-local systems by relying on global weather products and ... Read more
