The Chinese automaker is racing ahead of global competitors--but don't expect to see those gains in the US anytime soon. Somehow, the whole thing got even faster. Earlier this month, Chinese automaker BYD announced that its Flash Chargers, first rolled out a year ago, can now charge some electric vehicle batteries from around 10 to 70 percent in five minutes, and from 10 to full in about nine. That's more than 600 miles of range in the time it takes to order a cappuccino and leave a nice tip. The new BYD chargers can add miles super quickly because they deliver up to 1,500 kilowatts (kW) per charge.

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The app reads your email inbox and your meeting calendar, then gives you a short audio summary. It can help you spend less time scrolling, but of course, there are privacy drawbacks to consider.

Its march toward automation continues. Amazon has acquired Rivr, a startup focused on autonomous robotics. Rivr is based in Zurich and was valued at $110 million in a funding round from August 2024, which both Amazon and its CEO's Bezos Expeditions participated in. Financial details of the acquisition were not disclosed. Rivr's robots have four legs and wheels that allow it to maneuver on stairs and other potentially uneven surfaces.

Rivian will provide 50,000 robotaxis to Uber in a deal worth $1.25 billion Initial deployments will start in San Francisco and Miami. Rivian and Uber, with the former to provide the latter with 50,000 robotaxis in funding. This starts with Uber purchasing 10,000 Rivian R2 robotaxis, which will be deployed in San Francisco and Miami by 2028. If all goes well, Uber will scoop up 40,000 more robotaxis by 2030. The company plans to scale the initiative to 25 major cities by 2031.

Uber is expanding its Women Preferences feature nationwide, aiming for increased safety and comfort during rides across the United States.

Register now free-of-charge to explore this white paper This Whitepaper offers engineers and researchers a technical examination of the key design barriers in humanoid robotics and the component-level strategies emerging to address them, from sensing and motion control to power systems and thermal management. What you will learn about:   The core engineering challenges — complex motion control, safe human-robot interaction, and hardware cost constraints — that currently limit practical humanoid robot deployment. Sensing system architectures: how IMUs, gyroscopes, accelerometers, tactile sensors, and AMR magnetic sensors support real-time posture estimation, perception fusion, and environmental awareness. Motion and actuation design considerations including actuator-level power delivery, motor noise mitigation, PCB bend-stress resistance, and dexterous hand integration. Power and thermal system trade-offs: battery chemistry selection (LFP vs. NCA), BMS design, DC/DC converter topologies, and thermistor-based protection for operational reliability. Click 'LOOK INSIDE' to Download Now.

Each year the AAAI recognizes a group of individuals who have made significant, sustained contributions to the field of artificial intelligence by appointing them as Fellows. Over the course of the next few months, we'll be talking to some of the 2026 AAAI Fellows . In this interview, we met with Yan Liu, University of Southern California, who was elected as a Fellow . We found out about how time series research has progressed, the vast range of applications, and what the future holds for this field. Could you start with a quick introduction to your area of research?

Steve Rose goes for a spin. Steve Rose goes for a spin. 'We don't tell the car what it should do': my ride in a self-driving taxi Driverless'robotaxis' will be accepting fares in Britain's biggest city by the end of next year. Can they deal with London's medieval roads, hordes of pedestrians and errant ebikers? 'I'm really excited to show you this," says Alex Kendall, the CEO of Wayve, as he gets behind the wheel of one of the company's electric Ford Mustangs. The car pulls up to a junction at a busy road in King's Cross, London, all by itself. "You can see that it's going to control the speed, steering, brake, indicators," he says to me - I'm in the passenger seat. "It's making decisions as it goes.

An engineer at the AgiBot factory in Shanghai, China, where the 5,000th mass-produced humanoid robot had rolled off the production line. An engineer at the AgiBot factory in Shanghai, China, where the 5,000th mass-produced humanoid robot had rolled off the production line. How close are we to the sci-fi vision of autonomous humanoid robots? C hen Liang, the founder of Guchi Robotics, an automation company headquartered in Shanghai, is a tall, heavy-set man in his mid-40s with square-rimmed glasses. His everyday manner is calm and understated, but when he is in his element - up close with the technology he builds, or in business meetings discussing the imminent replacement of human workers by robots - he wears an exuberant smile that brings to mind an intern on his first day at his dream job. Guchi makes the machines that install wheels, dashboards and windows for many of the top Chinese car brands, including BYD and Nio. He took the name from the Chinese word, "steadfast intelligence", though the fact that it sounded like an Italian luxury brand was not entirely unwelcome. For the better part of two decades, Chen has tried to solve what, to him, is an engineering problem: how to eliminate - or, in his view, liberate - as many workers in car factories as technologically possible. Late last year, I visited him at Guchi headquarters on the western outskirts of Shanghai. Next to the head office are several warehouses where Guchi's engineers tinker with robots to fit the specifications of their customers. Chen, an engineer by training, founded Guchi in 2019 with the aim of tackling the hardest automation task in the car factory: "final assembly", the last leg of production, when all the composite pieces - the dashboard, windows, wheels and seat cushions - come together. At present, his robots can mount wheels, dashboards and windows on to a car without any human intervention, but 80% of the final assembly, he estimates, has yet to be automated. That is what Chen has set his sights on. As in much of the world, AI has become part of everyday life in China . But what most excites Chinese politicians and industrialists are the strides being made in the field of robotics, which, when combined with advances in AI, could revolutionise the world of work.