Let’s talk 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*.

Researchers may be able to predict cardiovascular disease – such as atrial fibrillation and heart failure – in patients by using artificial intelligence (AI) to examine the genes in their DNA, according to a new Rutgers study.

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.

Humans find some of the comprehension difficult to understand. There is a limitation to the ability to understand some sentences, and find it difficult to comprehend.