RoboCup is an initiative to promote research in robotics through standardized competition and cooperation. The RoboCup Humanoid League focuses on legged robots between 0.4–1 metres tall in the KidSize and 1–2 metres tall in AdultSize. This year the Hamburg Bit-Bots performed a survey of all KidSize teams participating in the RoboCup 2022 in Bangkok, Thailand. We aimed to capture the state of the art in the league. This article gives a summary of the results.

While the U.S. is figuring out privacy laws at the state and federal level, artificial and augmented intelligence (AI) is evolving and becoming commonplace for businesses and consumers. These technologies are driving new privacy concerns. Years ago, consumers feared a stolen Social Security number. Now, organizations can uncover political views, purchasing habits, and much more. The repercussions of data are broader and deeper than ever.

Video software, developed by BMW, picks up LEDs on the swimmer's body, tracking his every move down to the angle of his toes, and renders it in 2-D images. The images let the athlete study his form in minute detail and perfect even the tiniest inconsistencies, which can shave crucial seconds off his lap time. In swimming, form is just as crucial as force. Getting the smallest detail--even the angle of your ankle--just right is an obsession for the elite because it can mean the difference between podium and punching water. To help the pros, video analysis is now an indispensable training tool. "Before, we literally just used the coach's eyeball," to fix alignment, strokes, and kicks, says Nathan Adrian, a three-time gold medalist gunning for number four in Rio.

Some 2 billion X-rays are performed around the world every year. But the average radiology clinic is understaffed. Radiologists are burdened with a growing workload, allowing little time to comprehensively evaluate images--leading to misdiagnoses and more serious consequences. Now a Tel Aviv University lab is engineering practical solutions to meet the demands of radiologists. Prof. Hayit Greenspan's Medical Image Processing Lab in the Department of Biomedical Engineering in the TAU Faculty of Engineering has developed a wide variety of tools to facilitate computer-assisted diagnosis of X-rays, CTs and MRIs, freeing radiologists to attend to complex cases that require their full attention and skills.