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Google CEO Sundar Pichai believes artificial intelligence is the most profound technology in the history of human civilization—potentially more important than the discovery of fire and electricity—and yet even he doesn’t fully understand how it works, Pichai said in an interview with CBS’s 60 Minutes that aired yesterday (April 16).

“We need to adapt as a society for it…This is going to impact every product across every company,” Pichai said of recent breakthroughs in A.I. in a conversation with CBS journalist Scott Pelley. It’s the Google CEO’s second long-form interview in a two weeks as he apparently embarks on a charm offensive with the press to establish himself and Google as a thought leader in A.I. after the company’s latest A.I. product received mixed reviews.

Google in February introduced Bard, an A.I. chatbot to compete with OpenAI’s ChatGPT and Microsoft’s new Bing, and recently made it available to the public. In an internal letter to Google employees in March, Pichai said the success of Bard will depend on public testing and cautioned things could go wrong as the chatbot improves itself through interacting with users. He told Pelley Google intends to deploy A.I. in a beneficial way, but suggested how A.I. develops might be beyond its creator’s control.

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Calorie restriction, a proven intervention to slow aging in animals, showed evidence of slowing the pace of biological aging in a human randomized trial.

In a first-of-its-kind randomized controlled trial, an international team of researchers led by the Columbia Aging Center at Columbia University.

Columbia University is a private Ivy League research university in New York City that was established in 1754. This makes it the oldest institution of higher education in New York and the fifth-oldest in the United States. It is often just referred to as Columbia, but its official name is Columbia University in the City of New York.

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Summary: Researchers in China have developed a new neural network that generates high-quality bird images from textual descriptions using common-sense knowledge to enhance the generated image at three different levels of resolution, achieving competitive scores with other neural network methods. The network uses a generative adversarial network and was trained with a dataset of bird images and text descriptions, with the goal of promoting the development of text-to-image synthesis.

Source: Intelligent Computing.

In an effort to generate high-quality images based on text descriptions, a group of researchers in China built a generative adversarial network that incorporates data representing common-sense knowledge.

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Physicists believe most of the matter in the universe is made up of an invisible substance that we only know about by its indirect effects on the stars and galaxies we can see.

We’re not crazy! Without this “dark matter”, the universe as we see it would make no sense.

But the nature of dark matter is a longstanding puzzle. However, a new study by Alfred Amruth at the University of Hong Kong and colleagues, published in Nature Astronomy, uses the gravitational bending of light to bring us a step closer to understanding.

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