A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Humans have struggled to make truly intelligent machines. Maybe we need to let them get on with it themselves. A little stick figure with a wedge-shaped head shuffles across the screen. It moves in a ...