Technology and security leaders at major companies have unrealistic expectations for what their AI security plans should look like, a new survey from Accenture finds.
Why it matters: If companies aren't aware of the AI security threats they're up against, they're not going to be able to defend against them.
People who talk to Anthropic's Claude chatbot about emotional issues tend to grow more positive as the conversation unfolds, according to new Anthropic research shared exclusively with Axios.
Why it matters: Having a trusted confidant available 24/7 can make people feel less alone, but chatbots weren't designed for emotional support.
One of the easiest ways to minimize AI's environmental impact may be to move where the processing is done, per new academic research conducted in partnership with Qualcomm.
Why it matters: Running AI on devices instead of in the cloud slashes power consumption of queries by about 90%, the study finds.
Phoenix, Arizona, has quietly assembled one of America's most comprehensive bioscience ecosystems — and companies are taking notice.
Why it's important: Cities with strong bioscience sectors weather economic downturns better because health care and medical research remain essential, regardless of market conditions.
As demand for innovation accelerates, regions that offer complete bioscience ecosystems — not just isolated advantages — are best positioned to lead.
Generative AI has entered the mainstream faster than any previous new technology. But the tech industry hasn't yet figured out the best ways to build AI products — and fierce competition, along with rapid advances, means nobody stays at the top of the heap for long.
Those are some of the top-line findings of a new report on the state of AI foundation models from Innovation Endeavors, the venture capital firm co-founded in 2010 by former Google CEO and chairman Eric Schmidt.
