The U.S. military plans to spend hundreds of millions of dollars to build thousands of AI-enlivened drones, surveillance craft, and other nimble machines that are “small, smart, and cheap,” deputy defense secretary Katherine Hicks revealed in a 6 September speech to a defense industry conference in Virginia.
OpenAI has released a version of its GPT artificial intelligence tailored specifically for businesses that will help employees write code, search documents, analyze corporate data, and carry out a range of other tasks, the company announced.
Automation in factories gutted the legion of blue-collar workers who made their living with their hands.
Now AI is automating knowledge work and it’s white-collar employees’ turn to be shown the door.
Last February, the 5,400-student school district in Walla Walla, WA, banned ChatGPT. In August, the district held a workshop on how to use chatbots and how to teach students the skills to make the most of them. About 100 teachers—almost a third of the district’s faculty—showed up.
For years, scientists have been developing, with increasing success, AI that can self-learn in more sophisticated ways.
Neural net learning, modeled on the way human brains process and hold onto or discard information, is one of the most advanced ways AI systems “self-learn.”
It’s hard to parody the dystopian control-freak technology ambitions of Government entities, as two recent stories underscore.
Political and social coercion is often largely carried out by winning debates before they even start, via defining the terms used.
Words are used to negatively define opponents and win the argument by their simple embodiment of some perceived good or truth.
Owners of retail and office space are finding that they can charge premium rents for “green” locations that are more energy-efficient, have more natural light and better air circulation, and meet the increasingly stringent environmental codes cities are adopting.
The all-important college admissions essay has long been a screen for college admissions offices. How thoughtful is the applicant? How articulate? What is the applicant’s character, the person’s goals and values?
The combination of generative artificial intelligence and machine learning could as much as double U.S. economic productivity and add trillions of dollars to global GDP after a decade of greater and greater adoption, some analysts have predicted.