Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.
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Google DeepMind and Singapore partner to apply frontier AI to address complex challenges across health, education, and sustainability and more.
Clare Bryant uses Co-Scientist to identify genetic triggers in emerging infectious diseases.
Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.
Filippo Menolascina uses Co-Scientist to identify new liver disease treatments and explain why existing drugs only help certain patients.
Co-Scientist unites Boston Children’s Hospital and MIT’s labs to explore new RNA-based treatments for ALS.
Stanford geneticist uses Co-Scientist to help find new treatments for chronic liver disease and liver fibrosis.
Learn how our WeatherNext AI model help forecasters give communities unprecedented time to prepare ahead of the historic Hurricane Melissa.
Gemini 3.5 is built to help you execute complex, agentic workflows.
Our recent paper, “LLMs Corrupt Your Documents When You Delegate”, has generated discussion about the reliability of AI systems in delegated workflows. We appreciate the interest in this work and want to clarify several important points about what the paper does—and does not—claim. The research aims to develop robust evaluation methods for long-horizon delegated and […] The post Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability appeared first on Microso...
mimalloc is an open-source, modern, scalable memory allocator that is a drop-in replacement for malloc and free. It is relatively small (~12K lines), with clear internal data structures, and is easy to build and integrate into other projects. It provides bounded worst-case allocation times (up to OS primitives), bounded space overhead, low internal fragmentation, and minimal contention by relying almost exclusively on atomic operations. The post mimalloc: A new, high-performance, scalable memory...