Authors: George Rajna
Two research groups from ETH Zurich have developed a method that can simulate nanoelectronics devices and their properties realistically, quickly and efficiently.  Dispersible electrodes based on gold-coated magnetic nanoparticles modified with DNA can detect microRNA in unprocessed blood samples at extremely low concentrations and over a broad range-a first for sensors of this kind.  Engineers at the University of California San Diego have developed neutrophil "nanosponges" that can safely absorb and neutralize a variety of proteins that play a role in the progression of rheumatoid arthritis.  An international team of researchers has determined the function of a new family of proteins associated with cancer and autism.  In 2016, when we inaugurated our new IBM Research lab in Johannesburg, we took on this challenge and are reporting our first promising results at Health Day at the KDD Data Science Conference in London this month.  The research group took advantage of a system at SLAC's Stanford Synchrotron Radiation Lightsource (SSRL) that combines machine learning-a form of artificial intelligence where computer algorithms glean knowledge from enormous amounts of data-with experiments that quickly make and screen hundreds of sample materials at a time.  Researchers at the UCLA Samueli School of Engineering have demonstrated that deep learning, a powerful form of artificial intelligence, can discern and enhance microscopic details in photos taken by smartphones.  Such are the big questions behind one of the new projects underway at the MIT-IBM Watson AI Laboratory, a collaboration for research on the frontiers of artificial intelligence. 
Comments: 48 Pages.
[v1] 2019-11-24 08:57:29
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