According to new research from Tulane University, mercury levels in the world's rivers have more than doubled since the pre-industrial era, and primary drivers of the increase are wastewater discharge, soil erosion and mercury releases from industrial activities and mining. The study, published in Science Advances, developed a process-based model to simulate mercury transport in rivers and found that global rivers carried approximately 390 metric tons of mercury to oceans annually before 1850. Today, that figure has jumped to about 1,000 metric tons per year. The research provides the first known global baseline for riverine mercury pollution.

MIT researchers developed a photonic AI hardware accelerator designed specifically to handle wireless signal processing, reducing latency. Their architecture encodes and processes data using light to dramatically accelerate deep learning computations on an edge device.