Chinese researchers from Peking University have created an analogue computing chip that could process calculations 1,000 times faster than Nvidia's flagship H100 GPU while using a fraction of the power. Professor Sun Zhong's team has solved the century-old precision problem that plagued analogue computing, achieving accuracy comparable to digital systems for AI and 6G communications applications, with the device already surpassing top-tier GPUs in solving medium-scale matrix

University of Wisconsin-Milwaukee engineers led by Professor Deyang Qu have developed a method to turn expired lithium iron phosphate EV batteries into agricultural fertilizer. This breakthrough addresses a looming e-waste crisis by creating a high-value domestic product, reducing reliance on imports and offering an economically sustainable recycling solution.

Chinese researchers from Peking University have created an analogue computing chip that could theoretically process calculations 1,000 times faster than Nvidia's flagship H100 GPU while using a fraction of the power. The breakthrough device, developed by Professor Sun Zhong's team, solves the century-old precision problem that has plagued analogue computing, achieving accuracy comparable to digital systems for AI and advanced scientific tasks.