AI

WIRED’s advice columnist cracks open the publication’s archive to consider past promises about AI agents, and to get some advice on how we can use automation while retaining our humanity.

A new report, shared exclusively with WIRED, shows how an AI content mill with hundreds of sites managed to pull big-name advertisers into their schemes.

Back in the old days — the really old days — the task of designing materials was laborious. Investigators, over the course of 1,000-plus years, tried to make gold by combining things like lead, mercury, and sulfur, mixed in what they hoped would be just the right proportions. Even famous scientists like Tycho Brahe, Robert

When sound waves reach the inner ear, neurons there pick up the vibrations and alert the brain. Encoded in their signals is a wealth of information that enables us to follow conversations, recognize familiar voices, appreciate music, and quickly locate a ringing phone or crying baby. Neurons send signals by emitting spikes — brief changes

With the general availability of Amazon Bedrock Agents, you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. However, some geographies and regulated industries bound by data protection and privacy regulations have sought to combine generative AI services in the cloud with regulated data on

Large language model (LLM) based AI agents that have been specialized for specific tasks have demonstrated great problem-solving capabilities. By combining the reasoning power of multiple intelligent specialized agents, multi-agent collaboration has emerged as a powerful approach to tackle more intricate, multistep workflows. The concept of multi-agent systems isn’t entirely new—it has its roots in

Signals from the global navigation satellite system can be jammed and spoofed, so a Google spinout is working on an alternative positioning and navigation system that uses the Earth’s magnetic field.

Tahnoun bin Zayed al Nahyan—the UAE’s chess-obsessed, jiujitsu-loving intelligence chief—controls vast sums of sovereign wealth. America’s AI giants are scrambling for a piece of it.

Vijay Gadepally, a senior staff member at MIT Lincoln Laboratory, leads a number of projects at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the artificial intelligence systems that run on them, more efficient. Here, Gadepally discusses the increasing use of generative AI in everyday tools, its hidden environmental impact, and some

Given the value of data today, organizations across various industries are working with vast amounts of data across multiple formats. Manually reviewing and processing this information can be a challenging and time-consuming task, with a margin for potential errors. This is where intelligent document processing (IDP), coupled with the power of generative AI, emerges as