Seoul National University College of Engineering has announced that a research team led by Professor Ho Won Jang from the Department of Materials Science and Engineering has developed neuromorphic hardware capable of performing artificial intelligence (AI) computations with ultra-low power consumption.

Researchers have developed a machine learning algorithm to accurately detect heart murmurs in dogs, one of the main indicators of cardiac disease, which affects a large proportion of some smaller breeds such as King Charles Spaniels.

Over the span of two projects, researchers at the University of Illinois Urbana-Champaign investigated using a propulsion concept known as multimode propulsion to get spacecraft to the Moon and developed a technique to design optimal multimode transfers. NASA provided the team with four real mission scenarios. The goal was to explore how a multimode propulsion system that integrates both a chemical high-thrust mode and an electric low-thrust mode—while using the same propellant—can succeed. They used a standard 12-unit CubeSat to accomplish four distinct missions.

In two recent papers, Penn's Alex Hughes made major strides toward the creation of artificial kidney tissue by demonstrating an undiscovered mechanism behind kidney development and a novel technique for culturing kidney cells, both of which could ultimately reduce the need for both dialysis and transplantation.

Wearable electronic devices are potential tools to monitor blood glucose levels (BGLs) among people with diabetes, but their limited size and power lead to noticeable measurement errors. In a recent study, researchers from Japan developed a screening technique that can filter out low-quality data in a preprocessing step, enhancing the accuracy of BGL estimations. Their findings could pave the way to convenient glucose monitoring using consumer electronics, eliminating the need for finger pricks.