SmolVLA: Efficient Vision-Language-Action Model trained on Lerobot Community Data
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Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline
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Proof-based general-purpose computing with Magnetar
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta
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This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
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