Idan Segev

Prof. Idan Segev at the Silicon Club meeting, January 2025. Photo: Shmuel Oster

How the human mind teaches us to build smarter artificial intelligence and in a much more efficient way

Prof. Idan Segev, a neuroscience researcher from the Edmond and Lily Safra Center at the Hebrew University: "The digital processors used today for the calculations of the "artificial intelligence" require about a million times more energy than the brain, the need is only about 20 watts"
neurons. Illustration: shutterstock

Research: How "smart" is the nerve cell in our brain?

A new study, conducted by researchers at the Hebrew University, examined for the first time whether a deep learning network consisting of layers of point-like artificial cells can accurately simulate the complex structure of a neuron