Browsing: Systems

At Microsoft, secure design begins at the foundation of our computing stack—the silicon level—and extends through every layer of the…

As organizations increasingly rely on machine learning (ML) systems for mission-critical tasks, they face significant challenges in managing the raw…

Managing and maintaining deployments of complex software present engineers with a multitude of challenges: security vulnerabilities, outdated dependencies, and unpredictable…

Researchers from Tel Aviv University have developed a new method for simulating complex quantum systems that can be combined with…

Health systems around the world are increasingly leveraging data to improve patient outcomes, streamline operations, and reduce costs. Real-time intelligence,…

This study introduces a chiral two-mode Lipkin-Meshkov-Glick model using acoustic cavities, enabling the simulation of exotic quantum phenomena like time…

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AMS Citation Derr, A., Echeverría, S., Maffey, K., and Lewis, G., 2025: Introducing MLTE: A Systems Approach to Machine Learning…

It feels like every other AI announcement lately mentions “agents.” And already, the AI community has 2025 pegged as “the…

This blog explores how mathematics and algorithms form the hidden engine behind intelligent agent behavior. While agents appear to act…