Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Machine learning models have seeped into the fabric of our lives, from curating playlists to explaining hard concepts in a ...

Currently we are living in the ‘wild west’ era of AI, where companies are fiercely competing to develop the fastest and most ...

Today, nearly everyone is a user of generative AI in one way or another. Even if you don't actively use GenAI, you're ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

Two enterprise-level projects apply AI-based predictive monitoring to transform logistics and crew safety. By integrating machine learning, real-time data, and usability-focused dashboards, these ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

In February, the Ministry of Digital Transformation of Ukraine announced launch of the WINWIN AI Center of Excellence — a ...

When we’re prototyping fintech dashboards or behavior-based healthcare apps, AI tools now assist with everything from ...

Using an AI system against other AI systems is not just a sci-fi concept – it’s a common practice in research to compare and ...

Contributor Content For people suffering from spinal cord injuries, regaining mobility has long been a monumental challenge, but groundbreaking technologies like brain-computer interfaces (BCIs), ...