Let's Talk About AI

A team comprising three CNRS laboratories, CEA Leti, and the startup Hawai.tech has developed a prototype machine that performs an artificial intelligence task using thousands of times less energy than a traditional solution. These findings have been published in the journal *Nature Electronics*.

According to a new Rutgers study, researchers may be able to predict cardiovascular diseases—such as atrial fibrillation and heart failure—in patients by using artificial intelligence (AI) to analyze the genes in their DNA.

The human brain evolved to form billions of neurons, enabling us to learn and make complex logical decisions. We can look at two different animals, such as a cat and a dog, and tell them apart, while a computer struggles with the task.

Artificial intelligence (AI) has captivated the world, with exciting new publicly available AI-driven tools such as ChatGPT, Dall-E, a new version of Microsoft’s Bing search engine, and a wounded Google trying to catch up.

Michal Kosinski, a researcher at Stanford University, sought to determine whether she possessed the skills associated with “theory of mind”: in short, the ability to understand and anticipate that another person might “think” differently from us.

Some people find certain concepts difficult to grasp. There are limits to their ability to understand certain sentences, and they find them hard to comprehend.