Browsing: using

As AI tools and agents have continued their march across all aspects of digital life, many companies are trying to use LLMs to improve the experience of purchasing goods and services on the Internet. Thus far, though, a vanishingly small number of people seem to be taking advantage of those capabilities, at least when it…

Dartmouth College was holding a forum Friday discussing how artificial intelligence should be used on campus just days after the college provost resigned following a review into his use of AI.

As consumer behaviour shifts and competition intensifies across Africa’s fast-growing retail and fast-moving consumer goods (FMCG) sector, businesses are increasingly relying on data to understand markets, anticipate demand and make informed decisions.

The use of artificial intelligence in the fight against doping was one of the key topics at the 3rd Anti-Doping Summit of Central and Eastern European Countries, held in Santorini with the participation of World Anti-Doping Agency (WADA) officials and representatives from 26 countries.

One of the earliest uses of generative artificial intelligence (AI) tools like ChatGPT and Claude was producingsuch as word processors, your internet browser, and everything else

A murder accused in northern India allegedly staged his own death using an artificial intelligence-generated image and securing an official death certificate in an attempt to escape a murder trial, police have said.

A self-taught coder and six accomplices allegedly used generative AI to hack some 90 organizations across Korea, stealing 8.2 million records and extorting victims for cash. 

AI giant Anthropic is facing legal action from the owners of Elvis Presley’s music. The company is alleged to have used Elvis’ work to train its AI models without obtaining consent to do so. The lawsuit was reportedly filed on Friday, October 23, per Billboard.

Authentic Brands Group says AI company infringed on rights of songs by the King such as Can’t Help Falling in Love

Organizations building AI agents face a common challenge: Every request, whether a routine status check or complex analysis, typically gets routed to a single large, expensive model. This one-size-fits-all approach can drive up API costs, introduce unpredictable latency, and remove the possibility of offline operation. Even routine queries that could resolve locally end up requiring…