Professor Krauss is a world leading expert in silicon photonics and one of the most cited Photonics academics in the U.K.. He leads a large research group and is Strategy Champion “Technologies for the Future” at the University of York.
Last week Boston-based start-up Lightmatter announced a $22million investment round led by Google Ventures into the development of their photonic chip-based Optical AI technology, bringing it’s series A funding up to $33 million. This followed the announcement last year of a $10million fund raise by competing company Lightelligence, led by Chinese giant Baidu. Both companies are focussed towards optical AI methods which calculate the the matrix multiply operations that form the basis of today’s deep learning neural networks, using light, rather than electricity.
Silicon-based processing is facing the fundamental problem of Moore’s Law breaking down. Optalysys is addressing this problem with its revolutionary optical processing technology - enabling new levels of AI performance for high resolution image and video-based applications.
The technology is being developed to accelerate some of the most demanding processor-intensive tasks at a fraction of the energy consumption of silicon processors. It can be programmed through the API or Tensorflow interface to perform optical correlation and convolution functions to unlock new levels of AI and pattern recognition capability.
The Optalysys technology also uses photons in place of electrons, but crucially performs high resolution calculations that enable large image/pattern-based data to be processed at speeds far faster than in silicon. By exploiting the properties of diffractive optics, the Optalysys technology can offer something unique in the AI space - a scalable processor that can perform end-to-end, full-resolution processing of multi-mega-pixel image and video data, or contextually pre-process data for boosting the performance of existing Convolutional Neural Network (CNN)-type models for high-resolution data applications.
CEO and Founder, Dr Nick New, said
“It is a really exciting time in optical computing. We are seeing a surge in interest in optical methods, which are needed to provide the next level of processing capability across multiple industry sectors. We are on the verge of an optical computing revolution and it’s fantastic to be leading the way.”
Watch highlights of our trip to Barcelona where we competed in the final of KPMG’s Best British Tech Startup 2019 #BBTS. We squeezed a lot in: Mobile World Congress, DIT Digital Safari and Camp Nou. A great experience with fellow finalists Grid Edge, Hummingbird Technologies, Oxford Space Systems and ZigZag Global:
Optalysys successfully won the regional semi-final of KPMG’s Best British Tech Startup competition for 2019 yesterday. The finals will be held at the Mobile World Congress in Barcelona on 26th February.
YORKSHIRE, U.K. - 26th OCTOBER, 2018 -Optalysys Ltd. (@Optalysys), an innovative technology company developing light-speed optical AI systems announced the successful completion of the next generation weather forecasting project led by ECMWF.
Optalysys was part of a major European consortium led by the European Centre for Medium-Range Weather Forecasts (ECMWF) and involving 10 other organisations. The project, known as ESCAPE (Energy-efficient Scalable Algorithms for Weather Prediction at Exascale) aimed to prepare numerical weather prediction algorithms and climate models for new computing architectures leading to exascale computing with a focus on energy efficiency.
The project successfully achieved breakthrough advances in computing efficiency by developing the concept of “weather and climate dwarfs”. These dwarfs are functional units in the weather forecasting models which are optimised for processor memory access and data communication.
CEO Dr Nick New said “It has been a privilege to work on such an important and ground-breaking project. Our work has demonstrated that some of the most computationally intensive dwarfs may be mapped on to our optical processors to provide significant advantages over conventional silicon technology or GPUs for these tasks”.
The three year project which started in 2015 was awarded a €4m grant under the European Commission’s Horizon 2020 Research and Innovation programme.
Optalysys is developing Optical Computing Platforms, which enable a quantum leap into new levels of processing capability. Delivered at a fraction of the cost with a vastly reduced energy consumption compared with conventional computers. Its first coprocessor is based on an established diffractive optical approach that uses the photons of low-power laser light instead of conventional electricity and its electrons. This inherently parallel technology is highly scalable and is the new paradigm of computing.
YORKSHIRE, U.K. - 25TH SEPTEMBER, 2018 - Optalysys Ltd. (@Optalysys), an innovative technology company developing light-speed optical AI systems today announced it had been successfully awarded ISO 9001:2015 certification.
ISO 9001:2015 is an internationally recognised standard that ensures products and services meet customer needs through an effective quality management system.
CEO Dr Nick New said “Our decision to pursue ISO 9001 accreditation demonstrates our commitment to provide high quality and consistent products that deliver exceptional value to our customers”.
Optalysys underwent a thorough evaluation process that included quality management system development, documentation review, pre-audit and final assessment.
Optalysys is developing Optical Computing Platforms, which enable a quantum leap into new levels of processing capability. Delivered at a fraction of the cost with a vastly reduced energy consumption compared with conventional computers. Its first coprocessor is based on an established diffractive optical approach that uses the photons of low-power laser light instead of conventional electricity and its elctrons. This inherently parallel technology is highly scalable and is the new paradigm of computing.
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Welcome to the August 2018 Newsletter – your regular update on the latest developments in optical computing. In this edition we cover that we successfully implemented the world’s first convolutional neural network (CNN) using optical processing - Presenting our technology at the Artificial Intelligence conference COGX in London.
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