Page 152 - Google Deepmind News Today

While Q* could solve math problems only at the grade-school level, some researchers believed it could be a step towards achieving AGI.

In an effort to lure users to subscribe to its paid Premium service, Google-owned YouTube has rolled out a collection of mini-games -- called "Playables", offering more than 30 mini-games that can be played instantly, without the need ...

In an effort to lure users to subscribe to its paid Premium service, Google-owned YouTube has rolled out a collection of mini-games -- called "Playables", offering more than 30 mini-games that can be played instantly, without the need for any downloads.

Google DeepMind has used artificial intelligence to predict the structure of more than 2 million new materials, a breakthrough it said could soon be used to improve real-world technologies. ...

Has OpenAI invented an AI technology with the potential to "threaten humanity"? There's now debate as to whether OpenAI's board ever received such a letter -- The Verge cites a source suggesting that it didn't. AI researchers on X (formerly Twitter), including Meta's chief AI scientist Yann LeCun, were immediately skeptical that Q* was anything more than an extension of existing work at OpenAI -- and other AI research labs besides.

Meanwhile, YouTube has said it is testing new generative AI features that’ll let people create music tracks using just a text prompt or a simple hummed tune.

We share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials.

Newly discovered materials can be used to make better solar cells, batteries, computer chips, and more.

Google DeepMind tool predicts nearly 400,000 stable substances, and an autonomous system learns to make them in the lab. Google DeepMind tool predicts nearly 400,000 stable substances, and an autonomous system learns to make them in the lab.

<p>Engineers at Princeton University and Google have come up with a new way to teach robots to know when they don’t know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty —...