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Primeur weekly 2018-02-26

Focus

The European Processor Initiative (EPI) to develop the processor that will be at the heart of the European exascale supercomputer effort ...

Quantum computing

Unconventional superconductor may be used to create quantum computers of the future ...

Developing reliable quantum computers: International research team makes important step on the path to solving certification problems ...

Programming on a silicon quantum chip ...

D-Wave locks in $20 million funding and completes prototype of next-gen quantum processor ...

Focus on Europe

Luxembourg joins the European supercomputer network PRACE ...

ICEI Public Information Event on the realisation of a federated HPC and data analytics infrastructure ...

Dutch eScience and Lorentz Centers launch Call to host workshop on digitally enhanced research ...

Middleware

Adaptive Computing announces release of Moab HPC Suite 9.1.2 ...

NCSA Assistant Director Dan Katz named BSSw Fellow ...

University of Nevada, Las Vegas' supercomputing boosted through new collaboration with Altair ...

Hardware

C-DAC focusing on cancer treatment using supercomputers as a tool ...

South-Korean Ministry of Science and Technology to announce Second National High-Performance Computing Fundamental Plan ...

IBM reveals novel energy-saving optical receiver with a new record of rapid power-on/off time ...

Computers learn to learn: Intel and researchers from Heidelberg and Dresden present three new neuromorphic chips ...

HPE helps U.S. Department of Defense to advance national defense capabilities ...

OCF deploys petascale Lenovo supercomputer at University of Southampton ...

HPE reports fiscal 2018 first quarter results ...

Ranovus announces general availability of its on-board optics and CFP2 direct detect transceiver products for 5G mobility and data centre interconnect applications ...

Mellanox appoints Steve Sanghi and Umesh Padval to Board of Directors ...

Applications

Supercomputers aid discovery of new, inexpensive material to make LEDs with high colour quality ...

AI companies to reuse crypto mining farms for deep learning in health care ...

Computer scientists and materials researchers collaborate to optimize steel classification ...

Boris Kaus receives ERC Consolidator Grant for his research in magmatic processes ...

Metabolic modelling becomes three-dimensional ...

Powerful supercomputer unlocks possibilities for tinier devices and affordable DNA sequencing ...

New Berkeley Lab algorithms create "Minimalist Machine Learning" that analyzes images from very little information ...

The Cloud

Adaptive Computing makes HPC Cloud strategies more accessible with the Moab/NODUS Cloud Bursting 1.1.0 release ...

USFlash

Gen-Z Consortium announces the public release of its Core Specification 1.0 ...

AI companies to reuse crypto mining farms for deep learning in health care


Both Longenesis Ltd. and Neuromation Ltd. are developing global ecosystems using blockchain technologies. The companies agreed to bridge each the ecosystems to enable rapid expansion and allow the large corporations to procure a large amount of data from the individuals consenting to the specific uses of their data and to procure the high-performance computing infrastructure required to train the deep neural networks. Credit: Insilico Medicine.
22 Feb 2018 Hong Kong - Longenesis Ltd., a Hong Kong-based expert in applying the latest advances in deep learning and blockchain technologies to health care announced a research collaboration agreement with Neuromation Ltd., a Tallinn, Estonia-based company focused on transforming the cryptographic mining infrastructure into a massive Cloud for deep learning applications. Neuromation recently successfully raised over $70 million through a token generating event (TGE) to develop a system for generation of the synthetic data using the deep neural networks trained on a large number of examples and using the processing power of the many graphics processing units (GPUs) in the blockchain community.

"Here at Neuromation, we are developing a platform that will democratize AI development by making the computational resources more accessible to AI practitioners; the computational power will come mostly from cryptocurrency miners wishing to earn more from their GPU farms and/or diversify their business. But even if you do have the computational power, you still have to have the data to train machine learning models on", stated Maxim Prasolov, the CEO of Neuromation.

Both companies are developing global ecosystems using blockchain technologies. The approach utilized by Longenesis was recently published in a peer-reviewed journal. The is developing a secure ecosystem to allow the individuals to take control over their life data and profit from selling or licensing it to the application developers. The application developers need access to the high-performance computing solutions to be able to train the deep neural networks that can be used to provide the valuable health-related services back to the individuals or to discover new life-saving therapy. Neuromation aspires to become one of the largest providers of the computing infrastructure for deep learning by repurposing the enormous installed base of the existing mining infrastructure.

"We are excited to partner with Neuromation. We previously published with their CSO and hold their research capabilities in high regard. Our collaboration is two-fold. First, to train the deep neural networks we need processing power and we are looking to repurpose the cryptocurrency mining equipment to do that. Second, to generate synthetic data, one must train on large data sets of real-world data and have balanced and diverse data sets, so Neuromation is an obvious consumer of data and can be a part of the marketplace", stated Alex Zhavoronkov, PhD, CSO of Longenesis Limited.

"The primary aim of Longenesis is to create a global data marketplace that will help provide personalized but at the same time secure data for healthcare application developers. Hence, the missions of Neuromation and Longenesis are perfectly complementary to each other. Together we will bring to AI practitioners in medicine and healthcare both the data and the computational power needed to train AI models and improve health care throughout the world. By announcing this partnership, we are laying the foundation for the future world of individualized healthcare based on artificial intelligence", stated Sergey Nikolenko, PhD, the Chief Research Officer of Neuromation.

The companies agreed to bridge each the ecosystems to enable rapid expansion and allow the large corporations to procure a large amount of data from the individuals consenting to the specific uses of their data and to procure the high-performance computing infrastructure required to train the deep neural networks.

Source: InSilico Medicine Inc.

Back to Table of contents

Primeur weekly 2018-02-26

Focus

The European Processor Initiative (EPI) to develop the processor that will be at the heart of the European exascale supercomputer effort ...

Quantum computing

Unconventional superconductor may be used to create quantum computers of the future ...

Developing reliable quantum computers: International research team makes important step on the path to solving certification problems ...

Programming on a silicon quantum chip ...

D-Wave locks in $20 million funding and completes prototype of next-gen quantum processor ...

Focus on Europe

Luxembourg joins the European supercomputer network PRACE ...

ICEI Public Information Event on the realisation of a federated HPC and data analytics infrastructure ...

Dutch eScience and Lorentz Centers launch Call to host workshop on digitally enhanced research ...

Middleware

Adaptive Computing announces release of Moab HPC Suite 9.1.2 ...

NCSA Assistant Director Dan Katz named BSSw Fellow ...

University of Nevada, Las Vegas' supercomputing boosted through new collaboration with Altair ...

Hardware

C-DAC focusing on cancer treatment using supercomputers as a tool ...

South-Korean Ministry of Science and Technology to announce Second National High-Performance Computing Fundamental Plan ...

IBM reveals novel energy-saving optical receiver with a new record of rapid power-on/off time ...

Computers learn to learn: Intel and researchers from Heidelberg and Dresden present three new neuromorphic chips ...

HPE helps U.S. Department of Defense to advance national defense capabilities ...

OCF deploys petascale Lenovo supercomputer at University of Southampton ...

HPE reports fiscal 2018 first quarter results ...

Ranovus announces general availability of its on-board optics and CFP2 direct detect transceiver products for 5G mobility and data centre interconnect applications ...

Mellanox appoints Steve Sanghi and Umesh Padval to Board of Directors ...

Applications

Supercomputers aid discovery of new, inexpensive material to make LEDs with high colour quality ...

AI companies to reuse crypto mining farms for deep learning in health care ...

Computer scientists and materials researchers collaborate to optimize steel classification ...

Boris Kaus receives ERC Consolidator Grant for his research in magmatic processes ...

Metabolic modelling becomes three-dimensional ...

Powerful supercomputer unlocks possibilities for tinier devices and affordable DNA sequencing ...

New Berkeley Lab algorithms create "Minimalist Machine Learning" that analyzes images from very little information ...

The Cloud

Adaptive Computing makes HPC Cloud strategies more accessible with the Moab/NODUS Cloud Bursting 1.1.0 release ...

USFlash

Gen-Z Consortium announces the public release of its Core Specification 1.0 ...