Meta has released Open Materials 2024, an open-source model and dataset designed for inorganic materials discovery. Utilizing the EquiformerV2 archite

Meta Launches Open Materials 2024: A Game-Changer for Inorganic Materials Discovery

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2024-10-26 12:30:19

Meta has released Open Materials 2024, an open-source model and dataset designed for inorganic materials discovery. Utilizing the EquiformerV2 architecture, it ranks highly on the MatBench-Discovery leaderboard and includes over 100 million Density Functional Theory calculations.

Claude now features a new analysis tool that enables it to write and run code, providing mathematically precise answers and allowing users to create interactive data visualizations with Artifacts.

Meta has launched new quantized versions of Llama 3.2 1B and 3B, achieving 2-4x faster inference speeds and reducing model size by 56%. These models utilize Quantization-Aware Training for improved performance without sacrificing accuracy.

OpenAI has introduced sCMs, a new type of consistency model that enhances training stability and scalability while generating high-quality samples with only two sampling steps, rivaling leading diffusion models.