Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
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Dehumanizing machines: Making sense of AI systems that seem human
Alexandra Olteanu, Principal Researcher, and Su Lin Blodgett, Principal Researcher, both from Microsoft Research Montréal, discuss the anthropomorphic design and perception of generative AI systems. Their work equips practitioners with frameworks for understanding what makes…
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Scalable emulation of protein equilibrium ensembles with BioEmu
Frank Noé, Partner Research Manager at Microsoft Research AI for Science, shares a major milestone in biomolecular simulation: BioEmu, an emulator that predicts protein shape changes and stabilities with near-experimental accuracy, running up to 100,000x…
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Disrupting the AI infrastructure with MicroLEDs
Paolo Costa, Partner Research Manager at Microsoft Research Cambridge, presents a breakthrough in AI infrastructure: using microLEDs to overcome scaling limitations in current communication technologies. Unlike copper (short range) and optics (high power), microLED links…
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Dion: The distributed orthonormal update revolution is here
Kwangjun Ahn, Senior Researcher at Microsoft Research AI Frontiers, introduces Dion, a next-generation optimizer in the style of Muon that orthonormalizes only the top-r subspace via amortized power iteration. Dion retains Muon’s fast convergence while…
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Pushing boundaries of complex reasoning in small language models
Mojan Javaheripi, Member of Technical Staff at Microsoft Research AI Frontiers, presents Phi-4-Reasoning and Phi-4-Reasoning-Plus—two 14B models designed to advance complex reasoning in small-scale language models. By introducing a dedicated “thinking block” and applying supervised…
