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AI Features

GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models

AI Features ag4news -
At a glance The Flash family extends GigaPath and GigaTIME with dramatically improved efficiency, making large-scale pathology research more accessible and practical. A distilled pathology foundation...

Broadening access to Skala creates a faster path to predictive DFT 

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At a glance Skala 1.1 demonstrates the continuously improving nature of Microsoft Research’s deep-learning DFT approach: trained on 2.5× more data than its predecessor, it...

MindTopo reveals VLMs’ spatial reasoning abilities

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At a glance MindTopo is a new benchmark for testing topological reasoning in AI, evaluating whether multimodal models can understand...

Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement

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Research Note: CARE-X is a research model and not a Microsoft product offering or medical device. It has not...

Orchard: An open framework for scalable agentic AI

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At a glance Orchard is an open-source framework for scalable and cost-effective agentic AI research, built around Orchard Env, a...

Echoverse: Deep, evolving environments for computer-use agents

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Scaling fidelity over sheer count, targeting the capabilities agents actually lack, and evolving with the models they train. At a...

EvoLib: Turning experience into evolving knowledge

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At a glance Self-supervised. EvoLib enables large language models to learn from their own experience during inference, without requiring ground-truth...

Verifying Rust cryptography in SymCrypt, from standards to code

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How Rust, Lean, Aeneas, and AI agents are helping scale formal verification for production cryptographic algorithms At a glance SymCrypt develops...
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