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by   -   October 15, 2020
Researchers test a prototype of a new diabetes device for prick-free glucose monitoring.

New technology can quickly and accurately monitor glucose levels in people with diabetes without painful finger pricks to draw blood. A palm-sized device developed by researchers at the University of Waterloo uses radar and artificial intelligence (AI) to non-invasively read blood inside the human body.

by   -   October 8, 2020
Copyright ©University of Cambridge

The COVID-19 pandemic is the greatest global healthcare crisis of our generation, presenting enormous challenges to medical research, including clinical trials. Advances in machine learning are providing an opportunity to adapt clinical trials and lay the groundwork for smarter, faster and more flexible clinical trials in the future.

by   -   October 2, 2020

AIhub | EU flag

On 18 September the European Commission published a report on the Ethics of Connected and Automated Vehicles (CAVs). Written by an independent group of experts, the report includes twenty recommendations on road safety, privacy, fairness, AI explainability and responsibility, for the development and deployment of connected and automated vehicles.

by   -   September 29, 2020
A “high quality” 3D-printed bioscaffold as designed with help from a machine learning algorithm developed at Rice University. Scale bar equals 1 millimetre. (Credit: Mikos Research Group/Rice University)

By Mike Williams

A team led by computer scientist Lydia Kavraki used a machine learning approach to predict the quality of scaffold materials produced by 3D-printing, given the printing parameters. The work also found that controlling print speed is critical in making high-quality implants.

by   -   September 24, 2020

MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.

by   -   September 23, 2020

By Rianne Lindhout

Apps that can precisely identify shards, coins or heel bones: archaeology has embraced artificial intelligence. Alex Brandsen is working on a search engine that scans vast quantities of text from an archaeological viewpoint.

by   -   September 16, 2020
©University of Cambridge

Researchers have used a combination of AI and quantum mechanics to reveal how hydrogen gradually turns into a metal in giant planets.

Dense metallic hydrogen – a phase of hydrogen which behaves like an electrical conductor – makes up the interior of giant planets, but it is difficult to study and poorly understood. By combining artificial intelligence and quantum mechanics, researchers have found how hydrogen becomes a metal under the extreme pressure conditions of these planets.

by   -   September 9, 2020
From left to right: graduate student Zihao Ou, Professor Qian Chen, and graduate student and lead author Lehan Yao.

By Lois Yoksoulian

Liquid-phase transmission electron microscopy (TEM) has recently been applied to materials chemistry to gain fundamental understanding of various reaction and phase transition dynamics at nanometer resolution. Researchers from the University of Illinois have developed a machine learning workflow to streamline the process of extracting physical and chemical parameters from TEM video data.

by   -   September 7, 2020
Image credit: ©AI4EU observatory

By Knowledge Centre Data & Society

On 4 June 2020, the Flemish Knowledge Centre Data & Society (KCDS) organised a consultation to gather feedback on the European Commission’s white paper on artificial intelligence. In this article, you can read the key elements of the feedback.

by   -   August 28, 2020
Left and right images show false-colored electron microscopic images of the same region on the specimen. The image on the right has been super-resolved using an image processing method. | Image: Professor Yu Ding

By Vandana Suresh

Since the early 1930s, electron microscopy has provided unprecedented access to the world of the extraordinarily small, revealing intricate details that are otherwise impossible to discern with conventional light microscopy. But to achieve high resolution over a large sample area, the energy of the electron beams needs to be cranked up, which is costly and detrimental to the sample under observation.

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