MIT Technology Review's senior editor for AI shares what he's been thinking about lately. My daughter introduced me to El Estepario Siberiano's YouTube channel a few months back, and I have been obsessed ever since. The Spanish drummer (real name: Jorge Garrido) posts videos of himself playing supercharged cover versions of popular tracks, hitting his drums with such jaw-dropping speed and technique that he makes other pro drummers shake their heads in disbelief. The dozens of reaction videos posted by other musicians are a joy in themselves. Garrido is up-front about the countless hours that it took to get this good. He says he sat behind his kit almost all day, every day for years.

As the engineers who build self-driving cars know, it can be hard to get an AI system to reliably make sense of what it sees. Most systems designed to "understand" videos in order to either classify their content ("a person playing tennis," for example) or identify the contours of an object--say, a car up ahead--work in what's called "pixel space." The model essentially treats every pixel in a video as equal in importance. But these pixel-space models come with limitations. Imagine trying to make sense of a suburban street. If the scene has cars, traffic lights and trees, the model might focus too much on irrelevant details such as the motion of the leaves. It might miss the color of the traffic light, or the positions of nearby cars. "When you go to images or video, you don't want to work in [pixel] space because there are too many details you don't want to model," said Randall Balestriero, a computer scientist at Brown University. Yann LeCun, a computer scientist at New York University and the director of AI research at Meta, created JEPA, a predecessor to V-JEPA that works on still images, in 2022.

The SKA Observatory (SKAO), a landmark project in radio astronomy, seeks to address fundamental questions in astronomy. To process its immense data output, approximately 700 PB/year, a global network of SKA Regional Centres (SR-CNet) will provide the infrastructure, tools, computational power needed for scientific analysis and scientific support. The Spanish SRC (espSRC) focuses on ensuring the sustainability of this network by reducing its environmental impact, integrating green practices into data platforms, and developing Open Science technologies to enable reproducible research. This paper discusses and summarizes part of the research and development activities that the team is conducting to reduce the SRC energy consumption at the espSRC and SRCNet. The paper also discusses fundamental research on trusted repositories to support Open Science practices.

Sebastian Garrido was traveling to visit his dying grandfather in the hospital when he had what he calls a'time slip' that changed his views on what happens after we die. Often dramatized in science fiction, a'time slip' is defined as a moment when someone accidentally travels through time -- but Garrido said his all too real'time slip' hit him on the street when he noticed a mysterious figure standing nearby. 'Fancy meeting you here, everything will be okay. Tell your dad I'll be fine,' the man said before disappearing. During the eerie encounter, Garrido, 26, said he'got goosebumps and then threw up.'

This paper presents TPSYS, a Temporal Planning SYStem, which arises as an attempt to combine the ideas of Graphplan andTGP to solve temporal planning problems more efficiently. TPSYS is based on a three-stage process.