MIT AI Technology Review·
Jos Benschop is climbing a ladder to get to the top of his newest machine. It’s a bit of a schlep. The contraption is the size of a double-decker bus—more than 150 tons of gleaming precision-milled aluminum covered in thousands of snaking tubes, colored cables, and pressurized tanks. From the ground, it looks like a…
Read full articleThis story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. When I landed in Seoul after a grueling 12-hour flight from San Francisco, I walked through an unmanned immigration checkpoint, where a machine scanned my face and passport. On the subway home,…
By shifting work to the consumer, AI will usher in a self-service economy
The post Nvidia just increased dividends; Here’s how much 100 NVDA shares will earn on June 26 appeared on BitcoinEthereumNews.com. Nvidia (NASDAQ: NVDA) has increased its dividend payout, further strengthening the company’s appeal to investors seeking both growth and income. The chipmaking giant announced the sharp increase on May 20 alongside its blockbuster fiscal first-quarter earnings results. Under the new plan, Nvidia will pay a quarterly dividend of $0.25 per share on June 26, 2026, representing a massive 2,400% jump from the previous quarterly payout of $0.01 per share distributed in April. For investors holding 100 shares of Nvidia stock, the upcoming payout will amount to $25. On an annualized basis, shareholders with 100 shares would earn $100 per year if the company maintains the new dividend rate of $1 per share annually. To qualify for the payment, investors must own Nvidia shares before the June 4, 2026, ex-dividend date. As of press time, Nvidia stock closed at $215.33
The AI boom is worsening a global memory chip shortage, which Samsung predicts will continue into 2027 Samsung Electronics on Thursday reported record quarterly profit driven by a 49-fold jump in chip income, saying it expects a severe supply shortage to deepen next year as clients spend on AI, driving up prices of its memory chips. A boom in the construction of AI datacentres has spurred Samsung and chipmaking peers to allocate production capacity to advanced chips that Nvidia uses in its so-called AI accelerators. Even so, chipmakers are struggling to meet demand while the move also squeezes the supply of conventional chips. Continue reading...
INGELHEIM, Germany, and LONDON, April 20, 2026 — Boehringer Ingelheim today announced the expansion of its global Computational Innovation footprint with the launch of a new center for AI and machine […] The post Boehringer Ingelheim Adds London AI Center to Global Computational Innovation Network appeared first on AIwire.
AI is making it easier to design chips and optimize software for different silicon. Some startups envision a revolution in chipmaking.
Researchers from Meta AI and the King Abdullah University of Science and Technology (KAUST) have introduced Neural Computers (NCs) — a proposed machine form in which a neural network itself acts as the running computer, rather than as a layer sitting on top of one. The research team presents both a theoretical framework and two […] The post Meta AI and KAUST Researchers Propose Neural Computers That Fold Computation, Memory, and I/O Into One Learned Model appeared first on MarkTechPost.
