Meta AI Releases a Metagenomic Atlas, Space Force Is Back With AI, and DALL·E API Now Available in Public Beta

Meta AI released an open atlas containing structures for 617 million metagenomic proteins, along with models, research, and an API intended to support research into evolution, medicine, environmental remediation, and clean energy. Other research highlights include a proposed machine-learning algorithm for forecasting properties of unknown quantum processes and a study arguing that large language models do not reliably achieve human-like contextual implicature. Engineering news covers a U.S. Space Force project to test AI-based satellite-failure forecasting, Pinecone’s hybrid vector index for keyword-aware semantic search, and Kahun’s medical-literature-based clinical reasoning engine. Open-source updates include Anaconda’s global data-science survey, DALL·E API access for application developers, and Sigstore’s generally available signing service, while the issue also spotlights synthetic-data generation with NVIDIA Omniverse, community projects built with Lightning, Lightning 1.8 features, and upcoming ML conferences including IROS, NeurIPS, PyTorch Conference, and CVPR 2023.

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