Latest AI News
Deep-learning model predicts how fruit flies form, cell by cell
During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of cells. A team of MIT engineers has now developed a way...
Walmart’s AI strategy: Beyond the hype, what’s actually working
Walmart’s December 9 transfer to Nasdaq wasn’t just a symbolic gesture. The US$905 billion retailer is making its boldest claim yet: that it’s no longer a traditional discount chain, but...
The great AI hype correction of 2025
Some disillusionment was inevitable. When OpenAI released a free web app called ChatGPT in late 2022, it changed the course of an entire industry—and several world economies. Millions of people...
Generative AI hype distracts us from AI’s more important breakthroughs
On April 28, 2022, at a highly anticipated concert in Spokane, Washington, the musician Paul McCartney astonished his audience with a groundbreaking application of AI: He began to perform with...
AI might not be coming for lawyers’ jobs anytime soon
When the generative AI boom took off in 2022, Rudi Miller and her law school classmates were suddenly gripped with anxiety. “Before graduating, there was discussion about what the job...
AI materials discovery now needs to move into the real world
The microwave-size instrument at Lila Sciences in Cambridge, Massachusetts, doesn’t look all that different from others that I’ve seen in state-of-the-art materials labs. Inside its vacuum chamber, the machine zaps...
What even is the AI bubble?
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. In...
CEOs still betting big on AI: Strategy vs. return on investment in 2026
Enterprise leaders are pressing ahead with artificial intelligence, even as some early results remain uneven. Reporting from the Wall Street Journal and Reuters shows that most CEOs expect AI spending...
Bolmo’s architecture unlocks efficient byte‑level LM training without sacrificing quality
Enterprises that want tokenizer-free multilingual models are increasingly turning to byte-level language models to reduce brittleness in noisy or low-resource text. To tap into that niche — and make it...
Why agentic AI needs a new category of customer data
Presented by TwilioThe customer data infrastructure powering most enterprises was architected for a world that no longer exists: one where marketing interactions could be captured and processed in batches, where...