Merck cut a drug discovery cycle by 33% and ships compliant marketing 80% faster. Mastercard is rethinking fraud disputes.

Scalable, parallel drug design: one researcher can run multiple campaigns simultaneously across targets and modalities From research goal to lab-ready sequences in hours: Latent-Y compresses weeks of ...

Artificial intelligence is poised to take on a more-active role in the laboratory: two new systems, described today in Nature ...

Databricks has outlined a reference architecture for a multi-agent AI system, named AiChemy, that combines internal enterprise data on its platform with external scientific databases via the Model ...

With the ease of online publishing, the number of journals has exploded, and with them the number of papers. It has gotten ...

Two artificial intelligence (AI) systems that can assist throughout multiple processes involved in scientific research—such ...

The phrase “ghost in the machine” once described a philosophical paradox about consciousness and the human mind. Today, it ...

AI’s biggest impact in science is Google DeepMind’s use of a deep learning model to predict the complex structures of proteins — the molecules that drive virtually every process in living cells. But ...

Discover how agentic AI can improve compound and sample management for laboratories, prepare documentation, and improve data ...

Today, Latent Labs launches Latent-Y, an AI agent that autonomously designs therapeutic antibodies from a text prompt, compressing weeks of expert work into hours. Powered by Latent-X2, Latent Labs' ...