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Generative AI adoption in Southeast Asia has reached around 243 million people in less than three years, according to the annual e-Conomy SEA report released by Google, Temasek and Bain & Company — equivalent to 58% of the working population. AI adoption rates are four times faster than the uptake of mobile internet, yet only 1% to 2% of the region’s population pays for personal AI subscriptions. Find out how businesses are generating AI’s commercial value through other avenues:
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Generative AI tools are increasingly being used in science. This raises a question: what counts as human authorship when some of a researcher’s work is mediated by AI?
Generative AI has sparked debates on authorship and creative ownership. Stanford HAI Student Affinity Groups members Christina Ba and Navya Agarwal set out to explore a different angle — what if AI could augment the creative process rather than diminish it?
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Generative AI has been used in about 300 Netflix titles, co-CEO Ted Sarandos said in the company's latest earnings call, mostly in post-production. "Keep in mind that in many of the cases, productions would have left out those key shots because they just wouldn't have been able to afford them," he said.
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Generative AI reached 53% population adoption within three years faster than the PC or the internet. While the U.S. ranks 24th in adoption at 28.3%, the estimated value of generative AI tools to consumers in the country reached $172B annually by early 2026. Explore more findings in #AIIndex2026#:
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Generative AI, and what it can help software delivery teams accomplish, is evolving fast. In this guide, we’ll share four ways generative AI can boost your IT and quality engineering teams’ testing efficiency and how test management will evolve as a result.
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Generative AI and a high school film director.(1)
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Generative AI, and what it can help software delivery teams accomplish, is evolving fast. In this guide, we’ll share four ways generative AI can boost your IT and quality engineering teams’ testing efficiency and how test management will evolve as a result.
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As generative AI becomes ubiquitous, US middle and high school teachers are rethinking how they assess learning. Educators are assigning less take-home work, increasing in-class writing and discussion, and redesigning assignments to measure students' thinking rather than simply their answers, according to Reuters interviews with a dozen teachers and education experts across the country
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