Reactive Machines

In this paper, we study federated optimization for solving stochastic variational inequalities (VIs), a problem that has attracted growing attention…

When you post-train a Mixture-of-Experts (MoE) model with Reinforcement Learning from Human Feedback (RLHF) or Group Relative Policy Optimization (GRPO)…

Executives need to make data-driven decisions during live business reviews, where accuracy and speed matter. A conversational agentic AI assistant…

Any team working with spoken audio hits the same wall with generic speech-to-text. Think contact-center calls, all-hands meetings, podcasts, depositions,…

System-wide Dictation on Apple devices runs entirely on-device, and the speech it transcribes reaches the foundation model through a tokenizer:…

Semi-supervised federated learning (SSFL) trains models on clients’ unlabeled data using a teacher to generate pseudo-labels, with a small labeled…

This post is co-written with Mauro Rallo and Patrick van der Plas from HEMA. When engineers at HEMA needed an…

With video intelligence powered by agentic AI, you can ask natural language questions about uploaded videos and get answers within…

We introduce a new method to guide flow matching models. Our approach, which we call probe guidance, uses the frozen…

GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock, giving you more options to match intelligence and…