Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

An integrated framework combining first-principles calculations and machine learning was developed to predict gas-sensing performance. Key descriptors such as adsorption energy, adsorption distance, ...

Two Indian states — Punjab and Odisha — have taken remarkable strides in including artificial intelligence (AI) in school education. Punjab’s education department has become the first in India to roll ...

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...

In a comprehensive new study, economists have redefined the boundaries of predictive modeling in economics, blending traditional macroeconomic analysis with advanced machine learning principles. The ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Over the past few months, I have been helping data engineers, developers, and machine learning professionals prepare for the AWS Certified Machine Learning Associate exam. This certification validates ...