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We’re back for part 2 of our AI roundup for May and June, and we open with a timely new talent: context engineering. The heir
It’s summertime and AI is cooking again, with Nvidia and its peers in AI innovation back on top on Wall Street, shrugging off the DeepSeek challenge
If you’re short on time and want our answer to the question in the title, here it is: Yes. We believe Java will survive AI.
It’s a topic that just doesn’t stop churning: AI’s impact on jobs. I’ve written about it twice already—largely making predictions. The most recent one is
Investment in AI agents is surging. But that doesn’t mean adoption is going without a hitch. With more developers leaning on AI tools to meet
I must open here by noting that, when this concept first made the tech media rounds in recent months, I thought it sounded ridiculous. Manners?
Last year, US organizations created 40 top AI models, according to the Stanford HAI 2025 AI Index Report. China produced 15, and Europe three. Even
“It depends on us.” Those words have echoed in my mind since I first read them in Vilas Dhar’s piece for The Boston Globe. They
“We’re going to operate in a multiagent world,” says Brad Anderson, president of product, user experience, and engineering at Qualtrics, speaking with Business Insider’s Rebecca
AI today is truly a paradox. On one hand it can generate trillions of dollars of value across business use cases (McKinsey in January estimated
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