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Light-Carrying Chips Advance Machine Learning


Light-Carrying Chips Advance Machine Learning
In the digital age, data traffic is growing at an exponential rate. The demands on computing power for applications in artificial intelligence such as pattern and speech recognition in particular, or for self-driving vehicles, often exceeds the capacities of conventional computer processors. Working together with an international team, researchers at the University of Münster are developing new approaches and process architectures which can cope with these tasks extremely efficient. They have now shown that so-called photonic processors, with which data is processed by means of light, can process information much more rapidly and in parallel - something electronic chips are incapable of doing. The results have been published in the “Nature” journal. ....

Johannes Feldmann , Wolfram Pernice , Institute Of Physics , Tensor Processing Unit , Soft Nanoscience , ஜோஹன்னஸ் பெல்ட்மண்ன , வொல்ஃப்ராம் பெர்னிஸ் , நிறுவனம் ஆஃப் இயற்பியல் , மென்மையான நானோ அறிவியல் ,

Light-carrying chips advance machine learning


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IMAGE: Schematic representation of a processor for matrix multiplications which runs on light. Together with an optical frequency comb, the waveguide crossbar array permits highly parallel data processing.
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Credit: WWU/AG Pernice
In the digital age, data traffic is growing at an exponential rate. The demands on computing power for applications in artificial intelligence such as pattern and speech recognition in particular, or for self-driving vehicles, often exceeds the capacities of conventional computer processors. Working together with an international team, researchers at the University of Münster are developing new approaches and process architectures which can cope with these tasks extremely efficient. They have now shown that so-called photonic processors, with which data is processed by means of light, can process information much more rapidly and in parallel - something electronic chips are incapable of doing. The results have ....

Johannes Feldmann , Wolfram Pernice , Institute Of Physics , Tensor Processing Unit , Soft Nanoscience , ஜோஹன்னஸ் பெல்ட்மண்ன , வொல்ஃப்ராம் பெர்னிஸ் , நிறுவனம் ஆஃப் இயற்பியல் , மென்மையான நானோ அறிவியல் ,

Detective work in theoretical physics


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Credit: M. te Vrugt et al.
Scientific articles in the field of physics are mostly very short and deal with a very restricted topic. A remarkable exception to this is an article published recently by physicists from the Universities of Münster and Düsseldorf. The article is 127 pages long, cites a total of 1075 sources and deals with a wide range of branches of physics - from biophysics to quantum mechanics.
The article is a so-called review article and was written by physicists Michael te Vrugt and Prof. Raphael Wittkowski from the Institute of Theoretical Physics and the Center for Soft Nanoscience at the University of Münster, together with Prof. Hartmut Löwen from the Institute for Theoretical Physics II at the University of Düsseldorf. The aim of such review articles is to provide an introduction to a certain subject area and to summarize and evaluate the current state of research in this area for the benefit of other researchers. In our case we deal ....

Raphael Wittkowski , Robert Evans , Institute For Theoretical Physics , Institute Of Theoretical Physics , Theoretical Physics , Soft Nanoscience , ராபர்ட் எவன்ஸ் , நிறுவனம் க்கு கோட்பாட்டு இயற்பியல் , நிறுவனம் ஆஃப் கோட்பாட்டு இயற்பியல் , கோட்பாட்டு இயற்பியல் , மென்மையான நானோ அறிவியல் ,