Kushant Patel builds software that helps robots and instruments perceive, map, and move through the physical world. After completing a Master's in Mechatronics Engineering at the University of Waterloo, he spent two years at the University of California, Berkeley teaching quadruped robots to map and inspect nuclear material, and a year at the University of California, Davis building closed-loop brain-computer interfaces. At Brookhaven National Laboratory, he is developing control systems for advanced synchrotron beamlines. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines.

This week, I covered the story of Casey Harrell --a man with ALS who is "the first power user" of a brain implant, according to the researchers who worked with him. Harrell is paralyzed and unable to speak coherently without the device. He has now spent almost three years using a brain-computer interface (BCI) that enables him to "speak," surf the web, and perform his job as a climate activist, largely independently. Since Harrell was implanted with the device, in July 2023, a team at the University of California, Davis, has worked with him to adjust and improve its offerings. They've refined its accuracy, for example.

There Aren't a Lot of Reasons to Get Excited About a New Amazon Smartphone The company is reportedly building a new AI-powered mobile device. If Amazon follows through on the plan, experts warn it would be next to impossible to break into a crowded market. Reuters reports that Amazon's Devices and Services unit is working on a smartphone--dubbed Transformer--with Amazon's Alexa+ AI assistant and shopping as a major focus of the experience. It's unclear what this smartphone would cost, how much Amazon is spending to develop Transformer, and what operating system it will run. There's no word on when it will launch, and there's still also a chance the project could be scrapped altogether.

The conventional approach to imputing longitudinal data is to employ a parametric model with mixed-effects, such as the linear mixed-effects model.

Privacy protection of users' entire contribution of samples is important in distributed

However, the problem of provably editing a DNN to satisfy a property remains challenging.

Queuing network control determines the allocation of scarce resources to manage congestion, a fundamental problem in manufacturing, communications, and healthcare.

Stein V ariational Gradient Descent (SVGD) is a nonparametric particle-based deterministic sampling algorithm.