Seeing Eye-to-Eye: Reinforcement Learning for Consistent Image Creation

A new framework leverages pairwise comparisons to train image generation models, dramatically improving visual consistency across multiple outputs.

A new framework leverages pairwise comparisons to train image generation models, dramatically improving visual consistency across multiple outputs.

A new algorithm allows AI agents to learn more effectively from natural language feedback, boosting performance on complex tasks.

New research demonstrates that the way we represent human movement fundamentally impacts the quality of AI-generated animations.
New research demonstrates that companies reap significant benefits when their scientific publications inspire follow-on work by others, driving innovation and strengthening their research teams.

Researchers have developed a new framework for generating realistic and stable human movements over extended periods, offering precise control for applications like virtual reality and robotics.

A new benchmark reveals the significant gap between large language models and human legal experts, especially when it comes to ethical reasoning and contextual understanding.

Researchers have developed a novel approach to generate realistic daily schedules, offering a more nuanced understanding of how people spend their time.

Researchers unveil a modular transhumeral prosthesis platform enabling user-adjustable stiffness for improved dexterity and responsiveness.

New research explores how the ability of AI-powered web agents to solve complex tasks diminishes as the amount of information they must process increases.
A new software platform unlocks real-time computational pathology analysis on standard hardware, democratizing access to AI-powered diagnostics.