The development of more advanced technologies to process radiofrequency signals could further advance wireless communication, ...

Important cases on discretionary denials, prosecution latches, and trade secrets have been heard at the appellate court over June and July, explain Nathan Mammen and Cole Tipton of Snell & Wilmer.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Neurobiologist Professor Peter Robin Hiesinger from Freie Universität Berlin will be receiving more than 1.12 million euros in funding from the ...

The potential for these kinds of machines to reshape computer processing, increase energy efficiency, and revolutionize medical testing has scientists excited. But when do we consider these cells to ...

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from ...

Contemporary research has brought psychosis out of the dark, transforming our relationship to it from one of fear and ...

Spin-wave networks may unlock energy-efficient AI computing. Discover the tech reshaping hardware demands for greener AI.

Due to their synaptic-like characteristics and memory properties, memristors are often used in neuromorphic circuits, particularly neural network circuits. However, most of the existing neural network ...

Digging through IMS 2025’s technical sessions unearthed some insights into the microwave industry’s research inclinations, ...