Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make ...

With the recent advances in cell reprogramming, scientists can take a mature human cell — such as a skin cell — and revert it ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

The data center as we know it is being reimagined as an “AI factory” – a power- and data-optimized plant that turns energy ...

Create stunning visuals in seconds with Gemini Canvas and Gamma 3.0 storytelling agent. Learn easy AI infographic hacks to ...

Last Thursday morning, I was sitting alone with a cup of kopi-C-kosong at the Engineering Tower, when a thought came quietly.

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Overview: Step-by-step guide on how to control a robot with Python.Learn Python-based motor control, sensors, and feedback ...

In 2008, Pietro Perona , Caltech's Allen E. Puckett Professor of Electrical Engineering, was on sabbatical in Italy, enjoying a cappuccino in a ...