Fugaku

Fujitsu and RIKEN develop AI drug discovery technology utilizing generative AI to predict structural changes in proteins

Retrieved on: 
Tuesday, October 10, 2023
Paper, Deep learning, Knowledge, COVID-19, Antibody, Acquisition, 3D, RIKEN, Healthy Living, Bacteria, Social Problems, AI, MICCAI, Encoder, Medicine, Drug development, Protein, Computational science, DX, Fujitsu, HPC, TRIP, Projection, K, Virus, Map, Infection, Drug discovery, Life, Medical device, Medical imaging, Vaccine, Fine chemical, Fugaku

Based on these two technologies, the two parties developed an AI drug discovery technology that can predict structural changes of a protein in a wide range, with the aim of developing next-generation IT drug discovery technology that significantly reduces the development time and cost of drug discovery.

Key Points: 
  • Based on these two technologies, the two parties developed an AI drug discovery technology that can predict structural changes of a protein in a wide range, with the aim of developing next-generation IT drug discovery technology that significantly reduces the development time and cost of drug discovery.
  • Moving forward, Fujitsu and RIKEN will use the newly developed generative AI technology as one of the core technologies for realizing next-generation IT drug discovery technology that can analyze the complex relationships between target proteins and antibodies, and predict global structural changes of molecules with high accuracy and speed.
  • To solve this problem, Fujitsu and RIKEN have developed the following two new drug discovery technologies using generative AI.
  • Using generative AI technology, Fujitsu and RIKEN analyzed the low-dimensional data and predicted the conformational changes by restoring 3D density maps.

Fujitsu and Mizuho start trials for generative AI to streamline development and system maintenance operations

Retrieved on: 
Monday, June 19, 2023
Maintenance, Fugaku, GPT, LLM, Synthetic media, RIKEN, Research, Tohoku University, Tokyo, Engineering, Vision transformer, Tokyo Institute of Technology, Fujitsu, AI, Mizuho Financial Group, Medical device

TOKYO, June 19, 2023 - (JCN Newswire) - Fujitsu and Mizuho Financial Group, Inc. (hereinafter Mizuho) launched joint verification trials using Fujitsu's generative AI technology to streamline development and maintenance operations of Mizuho's system.

Key Points: 
  • TOKYO, June 19, 2023 - (JCN Newswire) - Fujitsu and Mizuho Financial Group, Inc. (hereinafter Mizuho) launched joint verification trials using Fujitsu's generative AI technology to streamline development and maintenance operations of Mizuho's system.
  • Fujitsu is actively promoting research and development into generative AI models to support system development and maintenance technology under the framework of its "Fujitsu Kozuchi (code name) - Fujitsu AI Platform," which supports users globally to accelerate the testing and deployment of advanced AI technologies.
  • Fujitsu started offering an AI core engine for generative AI on June 9, 2023 via "Fujitsu Kozuchi (code name) - Fujitsu AI Platform."
  • The generative AI technology used in the joint trials combines this AI core engine for generative AI with Fujitsu's expertise in engineering.

Supercomputer Fugaku retains first place worldwide in HPCG and Graph500 rankings

Retrieved on: 
Monday, May 22, 2023
Content as a service, Fujitsu Computer Products of America, LINPACK, Kyushu University, RIKEN, Science, HPC, Fujitsu, Graph500, AI, HPCG, Transport, Conference, Fugaku, Service

TOKYO, May 22, 2023 - (JCN Newswire) - The supercomputer Fugaku, jointly developed by RIKEN and Fujitsu, has successfully retained the top spot for seven consecutive terms in multiple major high-performance computer rankings including HPCG and Graph500 BFS (Breadth-First Search), and has also taken second place for the TOP500 and third place for the HPL-MxP (formally HPL-AI) rankings.

Key Points: 
  • TOKYO, May 22, 2023 - (JCN Newswire) - The supercomputer Fugaku, jointly developed by RIKEN and Fujitsu, has successfully retained the top spot for seven consecutive terms in multiple major high-performance computer rankings including HPCG and Graph500 BFS (Breadth-First Search), and has also taken second place for the TOP500 and third place for the HPL-MxP (formally HPL-AI) rankings.
  • The HPCG is a performance ranking for computing methods often used for real-world applications, and the Graph500 ranks systems based on graph analytic performance, an important element in data-intensive workloads.
  • The results of the rankings were announced on May 22 at ISC2023 High-Performance Computing Conference, which is currently being held in Hamburg, Germany.
  • The top ranking on Graph500 was won by a collaboration involving RIKEN, Kyushu University, Fixstars Corporation, and Fujitsu.

Tokyo Tech, Tohoku University, Fujitsu, and RIKEN start collaboration to develop distributed training of Large Language Models

Retrieved on: 
Monday, May 22, 2023
Acceleration, Learning, GitHub, LLM, Communication, Natural language processing, Texas Advanced Computing Center, Society, Comment, Hallucination, GPT, Uchide no kozuchi, Computational science, Deep learning, Policy, ChatGPT, Postgraduate education, Information science, Tohoku University, RIKEN, Research, A64FX, SVE, OpenAI, Nagoya University, Organization, Fujitsu, CPU, Vision transformer, Tokyo Institute of Technology, Project, AI, Next Generation, Bias, Environment, CyberAgent, Medical device, Management, Video game, Fugaku

Tokyo Tech, Tohoku University, Fujitsu, and RIKEN are undertaking an initiative to this end that will focus on research and development toward distributed training of LLMs.

Key Points: 
  • Tokyo Tech, Tohoku University, Fujitsu, and RIKEN are undertaking an initiative to this end that will focus on research and development toward distributed training of LLMs.
  • The technology used in this initiative will allow the organizations to efficiently perform large-scale language model training on the large-scale parallel computing environment of the supercomputer Fugaku.
  • Leveraging the insights gained from deep learning from Japanese natural language processing developed at Tohoku University, we will construct large-scale models.
  • Distributed Training of Large Language Models on Fugaku (Project Number: hp230254)
    Neural networks with hundreds of millions to billions of parameters that have been pre-learned using large amounts of data.

CESGA and Fujitsu Establish Quantum Center in Galicia to Develop and Promote Quantum Technology

Retrieved on: 
Friday, April 21, 2023
Partnership, Spanish National Research Council, Fugaku, RIKEN, Research, A64FX, CESGA, Science, Memorandum of understanding, Fujitsu, Software, Microscope, Creative industries

CESGA was established in 1991 to contribute to the development of science and technology using high-performance computers and communication technologies for the benefit of society.

Key Points: 
  • CESGA was established in 1991 to contribute to the development of science and technology using high-performance computers and communication technologies for the benefit of society.
  • Due to the undeniable evolution of quantum technologies, CESGA has determined to start its quantum journey, selecting Fujitsu as its partner to create an international quantum technology hub in Galicia, which will allow them to have all the necessary resources in place for creating knowledge, attracting talent and securing future investment for the Region.
  • As CESGA's technology partner, Fujitsu will contribute its expertise in the field of quantum computing, acquired through its ongoing development of innovative quantum and quantum-related technologies, including hardware and software.
  • "We are excited to cooperate with CESGA at the new quantum center to drive the development of technology research and industrial applications in Europe, and contribute to job creation and human resource development in the quantum industry."

SambaNova Systems to Deliver SambaNova DataScale to RIKEN

Retrieved on: 
Wednesday, March 1, 2023
Software, Technology, Artificial Intelligence, Data Management, Computational science, HPC, AI, Multimedia, Society, Sambanova, Research, Fugaku, Television, 3D printing

SCA2023-- SambaNova Systems , the company that was first to market with domain-specific, pre-trained foundation models to underpin generative AI, is delivering the SambaNova DataScale® system to RIKEN Center for Computational Science (R-CCS).

Key Points: 
  • SCA2023-- SambaNova Systems , the company that was first to market with domain-specific, pre-trained foundation models to underpin generative AI, is delivering the SambaNova DataScale® system to RIKEN Center for Computational Science (R-CCS).
  • The system is being used as a new resource to accelerate the integration of AI with the supercomputer Fugaku to do research on digital twins for the Society 5.0 era.
  • “We are excited to work with Fugaku, the world's premier supercomputer, to contribute to efforts in the Society 5.0 era,” said Toshinori Kujiraoka, Country Sales Director for Japan at SambaNova Systems.
  • “SambaNova's unique reconfigurable dataflow architecture and its large memory capacity provide a comprehensive AI solution capable of processing higher resolution 3D images beyond 512x512x512.

Fujitsu provides supercomputer system to the Japan Meteorological Agency for forecasting of linear rainbands and torrential rains

Retrieved on: 
Monday, February 27, 2023
Japan Meteorological Agency, Automated Meteorological Data Acquisition System, Forecasting, AArch64, Flood, Landslide, Meteorological Administration, System 9, Weather, Life, FUJITSU, Risk, Computer, Architecture, Observation, CPU, Arm, FLOPS, SVE, Rainband, Earthquake, Rain, Temperature, Disaster, LINPACK, Wind, RIKEN, A64FX, HBM2, Memory, Fugaku, Risk management, Cryptocurrency, Computer data storage, JMA, Fujitsu

TOKYO, Feb 27, 2023 - (JCN Newswire) - Fujitsu today announced that it provided a new supercomputer system to the Japan Meteorological Agency (hereinafter JMA) (1) for use in linear rainband forecasting.

Key Points: 
  • TOKYO, Feb 27, 2023 - (JCN Newswire) - Fujitsu today announced that it provided a new supercomputer system to the Japan Meteorological Agency (hereinafter JMA) (1) for use in linear rainband forecasting.
  • The new supercomputer system is able to predict the occurrence of linear rainbands (2) which can trigger heavy rain, leading to disasters like landslides and flooding.
  • The system is based on the "FUJITSU Supercomputer PRIMEHPC FX1000" (3) hardware, which features the same A64FX CPU as the supercomputer "Fugaku," jointly developed by RIKEN (4) and Fujitsu.
  • Reaching a theoretical peak performance of about 31.1 PFLOPS (5), the new system will help the JMA to significantly improve the accuracy of its forecasting of linear rainbands.

Morpho’s "SoftNeuro" Enables 19x Faster Inference of 3D Simulation on Fugaku

Retrieved on: 
Wednesday, February 8, 2023
Data Management, Satellite, Technology, Audio, Video, Software, Artificial Intelligence, Hardware, University, Deep learning, Kobe University, Fugaku, Tohoku University, Television

Morpho, Inc. (hereinafter, “Morpho”)(TOKYO: 3653), a global leader in image processing and imaging AI solutions, announced today that it has provided deep learning inference engine “SoftNeuro®” to a project promoted by the University of Tokyo, Tohoku University, and Kobe University to accelerate high-resolution galaxy formation simulations using deep learning on the supercomputer Fugaku.

Key Points: 
  • Morpho, Inc. (hereinafter, “Morpho”)(TOKYO: 3653), a global leader in image processing and imaging AI solutions, announced today that it has provided deep learning inference engine “SoftNeuro®” to a project promoted by the University of Tokyo, Tohoku University, and Kobe University to accelerate high-resolution galaxy formation simulations using deep learning on the supercomputer Fugaku.
  • The result is approx.
  • 19.2 times faster inference time(*1) and approx.
  • 93% reduction(*2) in power consumption.

Fujitsu develops supercomputer system for Taiwan's Central Weather Bureau for numerical weather forecasting

Retrieved on: 
Tuesday, January 17, 2023
Climate change, Weather, RIKEN, FUJITSU, First Nations in Ontario, CWB, Central Weather Bureau, HPC, Sustainable Development Goal 13, A64FX, Sustainable Development Goals, Observation, Forecasting, United Nations, FLOPS, Disaster, Fugaku, Risk management, Fujitsu

TOKYO, Jan 17, 2023 - (JCN Newswire) - Fujitsu today announced the development of a supercomputer system for Taiwan's Central Weather Bureau (hereinafter CWB)(1) for use in numerical weather predictions.

Key Points: 
  • TOKYO, Jan 17, 2023 - (JCN Newswire) - Fujitsu today announced the development of a supercomputer system for Taiwan's Central Weather Bureau (hereinafter CWB)(1) for use in numerical weather predictions.
  • The new system started operation in June 2022 under an initiative that was initially implemented in 2021.
  • The system is primarily based on Fujitsu's supercomputer "FUJITSU Supercomputer PRIMEHPC FX1000" hardware, which features the same A64FX CPU as the supercomputer Fugaku, jointly developed by RIKEN and Fujitsu.
  • Fujitsu will continue to support the CWB's weather forecast services by providing its high reliable technical expertise in high performance computing (HPC) and know-how in weather services in general.

Morpho Provides “SoftNeuro” to Highly Resolved Galaxy Simulations Project for Universities: Supporting 3D Simulation with Supercomputer Fugaku

Retrieved on: 
Monday, December 5, 2022
University, Data Management, Education, Technology, Research, Photography, Software, Artificial Intelligence, Networks, Audio, Video, Science, University, Culture, SN, Explosion, Acceleration, CNN, Communication, Morpho, Tohoku University, SVE, Inc., 3D, Deep learning, Kobe University, Forecasting, Socs, 3D printing, Fugaku

"SoftNeuro" will accelerate the inference of 3D simulations (galaxy formation simulations) using deep learning on the supercomputer Fugaku.

Key Points: 
  • "SoftNeuro" will accelerate the inference of 3D simulations (galaxy formation simulations) using deep learning on the supercomputer Fugaku.
  • For this project, Morpho has realized 3D CNN inference acceleration on Fugaku (SVE optimization of Conv3D and application of 3D Winograd) through the original development of "SoftNeuro" for use in 3D simulations.
  • Through the project and collaboration, Morpho will support further acceleration of 3D simulations (galaxy formation simulations) using deep learning on supercomputer Fugaku.
  • The project is to accelerate highly resolved galaxy formation simulations.