YIXING, JIANGSU, CHINA, January 20, 2026 /EINPresswire.com/ — In the ever-evolving landscape of environmental technology and industrial processing, the demand for ...

Equipment used to train and run generative AI models could produce up to 5 million tons of e-waste by 2030, a relatively small but significant fraction of the global total. Generative AI could account ...

E-waste, which refers to discarded electrical or electronic devices, is the fastest growing domestic waste stream in the world, and it is highly toxic, threatening public health. Much of this e-waste, ...