Educational recommendation lies in constructing a recommend system that can process the interactions between students and questions.

The focus of our work is on diagnostic tasks in personalized learning, such as cognitive diagnosis and knowledge tracing. The goal of these tasks is to assess students'

Jensen Huang, chief executive officer of Nvidia, talks about partnering with Mercedes Benz during the Nvidia Live event at CES 2026 in Las Vegas, Nevada, on Monday. Jensen Huang took the stage at the CES trade show in Las Vegas this week to make the clearest pitch yet for Nvidia's autonomous driving technology. In doing so, the chief executive officer's vision for vehicles that can drive themselves edged into the terrain of major customers like Tesla and its boss, Elon Musk. Huang's remarks sparked a widely watched -- if notably polite -- indirect multiday exchange between two of the most influential figures in technology. It also sharpened a central question about autonomous driving: Who controls the technology that will first power consumer cars that drive themselves -- and later, driverless cars known as robotaxis that are designed for ride-hailing?

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum version of a neural network. Given, for example, a chemically useful molecule, how can you predict what properties it might have in an hour or tomorrow? To make such predictions, researchers start by measuring its current properties. But for quantum objects, including some molecules, this can be unexpectedly difficult because each measurement can interfere with or change the outcome of the next measurement.

Nvidia unveils'reasoning' AI technology for self-driving cars Nvidia boss Jensen Huang on Monday announced Alpamayo, a tech platform the company says will help self-driving cars think like humans. Alpamayo brings reasoning to autonomous vehicles, allowing them to think through rare scenarios, drive safely in complex environments, and explain their driving decisions, Huang said on stage at the annual CES technology conference in Las Vegas. Huang also said Nvidia has begun producing a driverless car powered by its technology, the Mercedes-Benz CLA, in partnership with the German automaker. The vehicle will be released in the US in the coming months before being rolled out in Europe and Asia. Wearing his trademark black leather jacket, Huang told an audience of hundreds that the project has taught Nvidia an enormous amount about how to help partners build robotic systems. Analysts say the announcement reinforces Nvidia's leadership in integrating AI hardware and software, deepening its push into physical AI.

Jensen Huang speaks at CES in Las Vegas on Monday. Jensen Huang speaks at CES in Las Vegas on Monday. Next generation of chips in'full production' and will arrive later this year, Jensen Huang says at CES in Las Vegas Nvidia CEO Jensen Huang said on Monday that the company's next generation of chips is in "full production" saying they can deliver five times the artificial-intelligence computing of the company's previous chips when serving up chatbots and other AI apps. In a speech at the Consumer Electronics Show in Las Vegas, the leader of the world's most valuable company revealed new details about its chips, which will arrive later this year and which Nvidia executives are in the company's labs being tested by AI firms, as Nvidia faces increasing competition from rivals as well as its own customers. The Vera Rubin platform, made up of six separate Nvidia chips, is expected to debut later this year, with the flagship server containing 72 of the company's graphics units and 36 of its new central processors.