The model that didn't exist, so you made it yourself
The model that didn't exist, so you made it yourself
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Does better work always mean better workers?
Does better work always mean better workers?
Introducing Falcon ASR
Introducing Falcon ASR
Multimodal open d1 decision models for the edge
Multimodal open d1 decision models for the edge
What AI gets wrong and what failure teaches us
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
How Jump Trading is scaling quant research with ChatGPT
Jump Trading uses OpenAI to expand quantitative research. See how longer-running AI workflows combine multiple data sources with human review.
Our approach to EU text provenance rules
How OpenAI is approaching text watermarking under EU rules. Learn where watermarks apply, how detection works, and why access starts with researchers.
Forecasting space weather risks on power grids
Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives. The post Forecasting space weather risks on power grids appeared first on Microsoft Research.
Introducing Quine: An AI research system designed for the complexity of biology
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Quine: An AI research system designed for the complexity of biology appeared first on Microsoft Research.
One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact
Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world value. The post One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact appeared first on Microsoft Research.
Holo4: powering generalist computer-use agents
Holo4: powering generalist computer-use agents
Welcome RL Environments to the hub
Welcome RL Environments to the hub
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
tokenizers v1: encode, decode and scaling, measured
tokenizers v1: encode, decode and scaling, measured
MilleMiglia: A realistic instance generator for middle-mile logistics
Algorithms & Theory
How workers are unlocking new ways of working
New OpenAI Economic Research shows how workers use AI beyond traditional roles and which new activities become recurring parts of their work.
Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
Algorithms & Theory
Your Agent Aced the Task. Will It Do It Again?
Your Agent Aced the Task. Will It Do It Again?