AI

AI And Economic Productivity Expect Evolution Not Revolution – IEEE Spectrum

https://spectrum.ieee.org/computing/software/ai-and-economic-productivity-expect-evolution-not-revolution Many analysts have lately been asserting that AI-enabled technologies will dramatically increase economic output. Accenture claims that by 2035 AI will double growth rates for 12 developed countries and increase labor productivity by as much as a third. PwC claims that AI will add $15.7 trillion to the global economy by 2030, while McKinsey

AI/ML in microcontrollers

Zach Shelby from ARM tells in this article that we can already run meaningful machine learning inference on Cortex-M equivalent microcontroller hardware. How we can utilize that in our future hacks? https://blog.hackster.io/embedded-ml-for-all-developers-1f000ccdaddd I saw Zach Shelby few months ago telling how to do that in conference, tried one demo myself and talked him in person.

Machine learning possible on microcontrollers

ARM’s Zach Shelby introduced the use of microcontrollers for machine learning and artificial intelligence at the ECF19 event in Helsinki on last Friday. The talk showed that that artificial intelligence and machine learning can be applied to small embedded devices in addition to the cloud-based model. In particular, artificial intelligence is well suited to the

Halloween links

Some engineering and science links for this Halloween: Scientist Trains AI To Create Brilliantly Ludicrous “Sexy” Halloween Costume Ideas article shows what happens when you use AI to design a Halloween costume. 10 Scary True Stories from Engineering History presents you scary experiments like resurrecting the dead, mind control, radiation gone wrong, and man-eating robots,

This 3D-printed AI construct analyzes by bending light | TechCrunch

https://techcrunch.com/2018/07/26/this-3d-printed-ai-construct-analyzes-by-bending-light/ Machine learning systems, which we frequently refer to as a form of artificial intelligence, at their heart are just a series of calculations made on a set of data. The calculations themselves aren’t particularly complex. Researchers from UCLA show that those calculations can be implemented optically with 3D-printed layers of transparent material, imprinted with