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EU project on development of high-performance photonic processors gets started


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IMAGE: The spread of light in a matrix made of phase change materials - the principle of the photonic processor (schematic diagram)
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Credit: AG Pernice - xvivo
Artificial intelligence (AI) is seen as a key technology with fields of application in a wide variety of areas in society. However, researching, developing and, in particular, using AI systems presents enormous challenges for the computing power and storage capacity needed to process large data volumes. These are generated for example in internet applications such as the Internet of Things and broadband services such as HD video on demand and social media. Traditional electronic hardware is no longer able to meet this challenge. A new research alliance headed by Dr. Wolfram Pernice, a professor at the Institute of Physics at the University of Münster (Germany), is developing fast, energy-efficient optical hardware alternatives. The alliance is now to receive almost six million eu ....

Wolfram Pernice , Eu Commission , European Commission , Framework Programme For Research , Institute Of Physics , University Of Oxford United Kingdom , Heinrich Hertz Institute Germany , Research Gmbh Switzerland , University Of Ghent Belgium , University Of Exeter United Kingdom , United Kingdom , Nanoscribe Gmbh , Fraunhofer Gesellschaft , Heinrich Hertz Institute , Micror Systems Sarl , வொல்ஃப்ராம் பெர்னிஸ் , யூ தரகு , ஐரோப்பிய தரகு , கட்டமைப்பு ப்ரோக்ராம் க்கு ஆராய்ச்சி , நிறுவனம் ஆஃப் இயற்பியல் , பல்கலைக்கழகம் ஆஃப் ஆக்ஸ்ஃபர்ட் ஒன்றுபட்டது கிஂக்டம் , ஹென்ரிச் ஹெர்ட்ஸ் நிறுவனம் ஜெர்மனி , ஆராய்ச்சி கஂப் சுவிட்சர்லாந்து , பல்கலைக்கழகம் ஆஃப் கெஂட் பெல்ஜியம் , பல்கலைக்கழகம் ஆஃப் எக்ஸெடர் ஒன்றுபட்டது கிஂக்டம் , ஒன்றுபட்டது கிஂக்டம் ,

Photonic processor heralds new computing era


7th January 2021
9:51 am
A multinational team of researchers has developed a photonic processor that uses light instead of electronics and could help usher in a new dawn in computing.
Current computing relies on electrical current passed through circuitry on ever-smaller chips, but in recent years this technology has been bumping up against its physical limits.
To facilitate the next generation of computation-hungry technology such as artificial intelligence and autonomous vehicles, researchers have been searching for new methods to process and store data that circumvent those limits, and photonic processors are the obvious candidate.
Featuring scientists from the Universities of Oxford, Münster, Exeter, Pittsburgh, École Polytechnique Fédérale (EPFL) and IBM Research Europe, the team developed a new approach and processor architecture. ....

United Kingdom , Harish Bhaskaran , Tobias Kippenberg , Research Europe , University Of Oxford , University Wolfram Pernice , Wolfram Pernice , Prof Harish Bhaskaran , ஒன்றுபட்டது கிஂக்டம் , கடுமையான பாஸ்கரன் , ஆராய்ச்சி யூரோப் , பல்கலைக்கழகம் ஆஃப் ஆக்ஸ்ஃபர்ட் , பல்கலைக்கழகம் வொல்ஃப்ராம் பெர்னிஸ் , வொல்ஃப்ராம் பெர்னிஸ் , ப்ரொஃப் கடுமையான பாஸ்கரன் ,

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 ,