MIT and autonomous driving company Motional have built a system that makes parts of a car’s planning process visible as it drives. Called CW-Net, it presents concepts such as “close to cyclist” and “approaching stopped vehicle” alongside the vehicle’s planned trajectory, giving people another way to recognize when its reasoning may be going wrong. The

Skip to content Driven by a desire for privacy, customization, and lower costs, there’s growing interest in AI models which can be run on local hardware. Few of them go as far as [Tim], though, who built an image generation diffusion model which can run on an RP2350 microcontroller. As might be expected, its capabilities

“Far and away, a unified electronic health record is the single use case that could benefit both patients and physicians most, and AI has the potential to help us achieve that,” said Margarita Racsa, MD, MPH. Artificial intelligence (AI) is bringing measurable changes to clinical operations in oncology; streamlining tumor board preparation, accelerating treatment planning

Water quality forecasting has long been divided between process-based mechanistic models, which are resource-intensive and difficult to calibrate, and data-driven approaches that often fail to capture the nonlinear, nonstationary dependencies inherent in environmental time series. While deep learning has shown promise in fields like energy and traffic forecasting, its application to water quality has largely

Apply for just about any office job these days, and there’s a pretty good chance your first round interview won’t be with a human, but with a crummy virtual AI avatar. Though the practice has become widespread throughout HR departments around the world, a new video released by satirical influencer Graham Zip shows just how

A research team led by UCLA and the University of Rochester has demonstrated a promising evolution of an imaging system designed to capture details within “complex media,” which scatter light, from depicting structures inside body tissue to seeing obstacles through heavy fog. The system uses physics-based machine learning to improve upon an existing imaging technique.