Over the past half century, researchers have established that birds evolved from dinosaurs: specifically, the theropods, the ...

A large-scale population genomic study has shed new light on the evolutionary and domestication history of the button ...

Trained on 9.7 trillion tokens of evolutionary data, EDEN designs therapeutics from large gene insertion to antimicrobial peptides.

A UK startup aiming to solve key challenges in life sciences through AI has unveiled the “world’s first AI models for ...

The use of personal data to target minors, combined with opaque algorithms and engagement-driven design, has heightened fears ...

Precision Solutions for Semiconductors and Electronics The semiconductor industry represents the pinnacle of precision ...

A team of researchers from the Shanghai Institute of Applied Physics, Chinese Academy of Sciences, has developed an ...

Abstract: Neural architecture search (NAS) has garnered significant attention and achieved remarkable success in deep learning. In recent years, the increasing demand for generic, resource-available, ...

We focus on building foundation models for embodied AI. In terms of algorithmic research, our interests include but are not limited to latent action learning, VLA, World Model, RL, and other research ...

EvoAgentX is an open-source framework for building, evaluating, and evolving LLM-based agents or agentic workflows in an automated, modular, and goal-driven manner. At its core, EvoAgentX enables ...

Abstract: Accurate and efficient heart disease prediction is a critical challenge in the medical domain. This research examines a range of machine learning and optimization techniques that have been ...

Every living being must cope with a changing world—summer gives way to winter, one year it floods and the next is a drought. It's obvious that populations of plants and animals must constantly face ...