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Fonte

microsoft.com

14articoli totali nell'archivio

microsoft.com
AIscience

Further Notes on Our Recent Research on AI Delegation and Long-Horizon…

Our recent paper, “LLMs Corrupt Your Documents When You Delegate”, has generated discussion about the reliability of AI systems…

microsoft.com·2 g fa
microsoft.com
science

mimalloc: A new, high-performance, scalable memory allocator for the modern era…

mimalloc is an open-source, modern, scalable memory allocator that is a drop-in replacement for malloc and free. It is relatively…

microsoft.com·4 g fa
microsoft.com

GridSFM: Small foundation model boosts power grid optimization

Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and…

microsoft.com·4 g fa
microsoft.com
AIscience

MatterSim expands materials discovery with faster simulation and a new…

MatterSim is expanding what AI can do for materials science—from faster large-scale simulations to MatterSim-MT, a new multi-task…

microsoft.com·5 g fa
microsoft.com
AI

SocialReasoning Bench shows the limits of today’s AI agents

Using SocialReasoning Bench, we observed a stable pattern across models—agents execute competently, but fail to consistently…

microsoft.com·6 g fa
microsoft.com
science

Building realistic electric transmission grid dataset at scale: a pipeline from…

Microsoft Research is excited to release an open dataset of approximate transmission topology of the U.S. power grid derived from…

microsoft.com·9 g fa
microsoft.com
AI

Microsoft at NSDI 2026: Advances in large-scale networked systems

Microsoft researchers share advances in building and operating large-scale distributed systems, spanning datacenters, networking,…

microsoft.com·12 g fa
microsoft.com
AIscience

Red-teaming a network of agents: Understanding what breaks when AI agents…

Safe agents don’t guarantee a safe ecosystem of interconnected agents. Microsoft Research examines what breaks when AI agents…

microsoft.com·17 g fa
microsoft.com

AutoAdapt: Automated domain adaptation for LLMs

AutoAdapt automates the design and tuning of domain adaptation workflows for large language models. It improves performance…

microsoft.com·25 g fa
microsoft.com
AI

AI is driving rapid workplace changes, but uneven benefits

For the past five years, the New Future of Work report has captured how work is changing. This year, the shift feels especially…

microsoft.com·1 mesi fa
microsoft.com
world

SOHO router compromise leads to DNS hijacking and adversary-in-the-middle…

Executive summary Forest Blizzard, a threat actor linked to the Russian military, has been compromising insecure home and…

microsoft.com·1 mesi fa
microsoft.com
AIscience

ADeLe: Predicting and explaining AI performance across tasks - Microsoft…

AI benchmarks report how large language models (LLMs) perform on specific tasks but provide little insight into their underlying…

microsoft.com·1 mesi fa
microsoft.com

AsgardBench: A benchmark for visually grounded interactive planning

AsgardBench evaluates whether embodied agents can revise their plans based on visual observations as tasks unfold. By focusing on…

microsoft.com·1 mesi fa