Julian I. Kamil

etechcetera

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This week in science and technology

/ Tags: twistech - science - technology - ai - ml - iot - hardware

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Nvidia $99 Jetson Nano AI Computer. The Jetson Nano — a tiny but powerful embedded computing board at just 70 x 45 mm and armed with a quad-core ARM Cortex-A57 MPCore processor, 4GB memory, and 16GB eMMC flash storage — can be used to provide the brain for robots and other AI-powered devices and handle tasks like object recognition and autonomous navigation without relying on cloud processing power. A production-ready System on Module (SoM), the Jetson Nano makes deploying of AI to devices at the edge simpler and cheaper. (Nvidia, The Verge)

Google Coral for building devices with local AI. Just as interesting, Google had announced Coral, a complete “local AI” toolkit that includes hardware components, software tools, and content to create, train and run neural networks (NNs) locally, on device. As part of the hardware package, Edge TPU is a small ASIC for high-performance machine learning (ML) inferencing. Coral Dev Board on the other hand is a fully integrated SoM, like NVIDIA’s Jetson Nano, built with the Edge TPU. And finally, Coral USB Accelerator packages the Edge TPU in a USB stick for easy integration into any Linux system. These products can already be purchased now at https://coral.withgoogle.com/. (Google, hackster.io)

Is China really overtaking the US in AI research? It looks like it’s likely the case, from reading this article published by The Verge.

After analyzing more than two million AI papers published up until the end of 2018, the Allen Institute found that China is “poised to overtake the US in the most-cited 50 percent of papers this year, in the most-cited 10 percent of papers next year, and in the 1 percent of most-cited papers by 2025.” The researchers found that America’s share of the most-cited 10 percent of papers declined from a high of 47 percent in 1982 to a low of 29 percent in 2018. China’s share, meanwhile, has been “rising steeply,” reaching a high of 26.5 percent last year.

(The Verge)

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This week in science and technology / March 22, 2019