Apple’s 2024 Proxy Statement for its annual shareholder’s meeting reveals several little-known initiatives it’s been following to improve artificial intelligence (AI) across its product range, and the company seems to go a little further than…
ETH doctoral student Marie Perrin presents the new recycling approach. In her left hand, she is holding the raw material in the form of a fluorescent lamp and, in her right, the yellow reagent that…
To a growing number of youths, a wallet stuffed with cash and cards is as unfashionable as the millennial tuck, no-show socks and skinny jeans. Carrying only a smartphone is the way. Iykyk — that’s…
Researchers have developed the world’s first quantum sensor capable of sensing atomic-scale electric and magnetic fields using a single molecule attached to a scanning tunneling microscope. This breakthrough provides unparalleled spatial resolution, akin to an…
In the brand-wise breakdown, Xiaomi led with 18 per cent of the market share, followed by Vivo with 17 per cent, Samsung with 16.8 per cent, Realme with 11 per cent, and Oppo with 10…
Google has expanded access to generative AI (genAI) features within its Workspace office app suite, with a lower-priced payment tier aimed at small and mid-sized businesses. The move came as Google rebranded Duet AI for…
Boston University’s robot MAMA BEAR autonomously creates and tests energy-absorbing structures, recently achieving a record 75% efficiency, with applications ranging from shipping materials to military gear. Credit: Devin Hahn, Boston University Productions An autonomous robot…
Fresh claims that Apple has shelved its project to build a semi-autonomous vehicle have emerged, and this time they ring true. But the company will be enjoying the benefits of its efforts for years to…
Casey Harrell trying the BCI system for the first time. Credit: UC Regents UC Davis Health has developed a groundbreaking brain-computer interface (BCI) that allows individuals with speech impairments, particularly those suffering from ALS, to…
Artificial neural networks could soon process time-dependent data more efficiently with the development of a tunable memristor. This technology, detailed in a University of Michigan-led study, could significantly reduce AI energy consumption. Credit: SciTechDaily.com In…
