The abstract of a paper published on National Bureau of Economic Research: We document that, after remaining almost constant for almost 30 years, real labor productivity at U.S. restaurants surged over 15% during the COVID pandemic. This surge has persisted even as many conditions have returned to pre-pandemic levels. Using mobile phone data tracking visits and spending at more than 100,000 individual limited service restaurants across the country, we explore the potential sources of the surge.

It cannot be explained by economies of scale, expanding market power, or a direct result of COVID-sourced demand fluctuations. The restaurants' productivity growth rates are strongly correlated, however, with reductions in the amount of time their customers spend in the establishments, particularly with a rising share of customers spending 10 minutes or less. The frequency of such 'take-out' customers rose considerably during COVID, even at fast food restaurants, and never went back down. The magnitude of the restaurant-level relationship between productivity and customer dwell time, if applied to the aggregate decrease in dwell time, can explain almost all of the aggregate productivity increase in our sample.

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An anonymous reader quotes a report from Ars Technica: On Wednesday, Google DeepMind announced two new AI models designed to control robots: Gemini Robotics and Gemini Robotics-ER. The company claims these models will help robots of many shapes and sizes understand and interact with the physical world more effectively and delicately than previous systems, paving the way for applications such as humanoid robot assistants. [...] Google's new models build upon its Gemini 2.0 large language model foundation, adding capabilities specifically for robotic applications. Gemini Robotics includes what Google calls "vision-language-action" (VLA) abilities, allowing it to process visual information, understand language commands, and generate physical movements. By contrast, Gemini Robotics-ER focuses on "embodied reasoning" with enhanced spatial understanding, letting roboticists connect it to their existing robot control systems. For example, with Gemini Robotics, you can ask a robot to "pick up the banana and put it in the basket," and it will use a camera view of the scene to recognize the banana, guiding a robotic arm to perform the action successfully. Or you might say, "fold an origami fox," and it will use its knowledge of origami and how to fold paper carefully to perform the task.

In 2023, we covered Google's RT-2, which represented a notable step toward more generalized robotic capabilities by using Internet data to help robots understand language commands and adapt to new scenarios, then doubling performance on unseen tasks compared to its predecessor. Two years later, Gemini Robotics appears to have made another substantial leap forward, not just in understanding what to do but in executing complex physical manipulations that RT-2 explicitly couldn't handle. While RT-2 was limited to repurposing physical movements it had already practiced, Gemini Robotics reportedly demonstrates significantly enhanced dexterity that enables previously impossible tasks like origami folding and packing snacks into Zip-loc bags. This shift from robots that just understand commands to robots that can perform delicate physical tasks suggests DeepMind may have started solving one of robotics' biggest challenges: getting robots to turn their "knowledge" into careful, precise movements in the real world. DeepMind claims Gemini Robotics "more than doubles performance on a comprehensive generalization benchmark compared to other state-of-the-art vision-language-action models."

Google is advancing this effort through a partnership with Apptronik to develop next-generation humanoid robots powered by Gemini 2.0. Availability timelines or specific commercial applications for the new AI models were not made available.

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D-Wave researchers have published findings in Science demonstrating what they call "quantum supremacy" by showing their quantum annealers can solve problems beyond the reach of classical computers. The team, led by Andrew D. King, demonstrated area-law scaling of entanglement in model quench dynamics of two-, three- and infinite-dimensional spin glasses.

The research shows quantum annealers rapidly generating samples that closely match solutions to the Schrodinger equation, supporting observed stretched-exponential scaling in matrix-product-state approaches. According to the paper, D-Wave's processors completed these magnetic materials simulations in under 20 minutes, while the same calculations would require nearly a million years on Oak Ridge National Laboratory's supercomputers.

The claim hasn't gone unchallenged. Miles Stoudenmire from the Flatiron Institute's Center for Computational Quantum Physics argues that classical computers can achieve comparable results using methods developed since D-Wave's initial findings. "We're just saying, 'Look, this one problem at this one time didn't beat classical computers. Try again,'" Stoudenmire noted. The quantum computing community has increasingly shifted terminology from "supremacy" to "advantage" or "utility," focusing on solving practical business or scientific problems faster, more accurately, or more economically than classical alternatives.

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Anticipation is building for the F1 movie as we edge closer to the June 2025 release date – and our drivers are even more hyped after getting an exclusive look at the latest trailer.

Formula 1 has announced that President and CEO Stefano Domenicali has extended his agreement with Liberty Media in a five-year renewal and will lead the business through 2029.

Stefano Domenicali will continue to run Formula 1, the sport that has coursed through his veins since he was a child, for the next five years through 2029 after being handed a five-year extension to a deal that began back in 2021.

NSC wil een lobbyregister, maar minister Judith Uitermark van dezelfde partij, ziet vooralsnog geen aanleiding om zo'n register in te voeren.

Scholieren en studenten zaten tijdens de coronapandemie maanden thuis zonder fysiek onderwijs. NRC vroeg aan deskundigen of daarvan nu nog effect is te zien op hun leerresultaten, mentale gezondheid en gedrag.

Lip-Bu Tan is Intel Inside

Breaking  The board of Intel has named semiconductor industry veteran Lip-Bu Tan as the x86 giant's new CEO. He starts March 18.…

De Zweedse The Pirate Bay-investeerder Carl Lundström is op 64-jarige leeftijd omgekomen bij een vliegtuigongeluk. Hij was de enige inzittende. Lundström staat bekend als een van de belangrijkste financiers en technologieleveranciers in de begindagen van de torrentwebsite.