Browsing: AI & Automation

Drinking water disinfection effectively prevents waterborne disease outbreaks but inevitably results in the formation of carcinogenic disinfection by-products (DBPs). Mitigating DBP formation without compromising microbial safety remains a critical challenge. Here we developed DISoptimizer, a water-quality-adaptive optimization framework designed to determine the optimal chlorine dose across heterogeneous water matrices, thereby maintaining a user-defined residual chlorine…

As people increasingly incorporate artificial intelligence into how they work, learn, and make decisions, the questions surrounding its use extend well beyond technology. They concern human judgment and responsibility, how AI should be governed, and when its use is appropriate.

One day, people will look back at what we call Artificial Intelligence and laugh. We do the same thing today, as chat bots totally outstrip what the computer industry called AI up until pretty recently. This didn’t escape curators at the Internet Archive, apparently, and [Jason Scott] tells us about a recent collection, “Vintage Artificial…

As organizations scale their use of artificial intelligence (AI) agents and tools, finding the right resource becomes the hard part. Teams build Model Context Protocol (MCP) servers, deploy agents, and create specialized tools, but without a central catalog, those resources stay siloed. Developers locate a resource, vet it, connect it, and maintain that connection manually.…