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Quantinuum Says It’s Near Quantum Error Correction Break-even Point

Quantinuum, which joins Cambridge Quantum software with Honeywell Quantum trapped-ion hardware, today announced it is close to a “breakeven point in quantum error correction....

European Quantum Company IQM Raises €128m

Espoo, Finland, 22 July 2022 – IQM Quantum Computers (IQM), a European builder of superconducting quantum computers, announced today it has raised €128 million ...

D-Wave Shows Annealing Quantum Prototype

PALO ALTO, Calif. & BURNABY, B.C. — June 16, 2022 — Quantum computing company D-Wave Systems today announced it is showcasing an experimental prototype of...

@HPCpodcast: Google Cloud’s 9 Exaflop AI Supercomputer, Chip Price Hikes, HPC Helps Photograph a Black Hole in Our Galaxy and IBM’s Quantum Ambitions

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Classiq Collaborates with NVIDIA on Quantum

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The post Classiq Collaborates with NVIDIA on Quantum appeared first on insideHPC.

NVIDIA at GTC: 60+ Updates to CUDA-X Libraries for Accelerated Computing

As NVIDIA kicked off virtual GTC this morning, the company unveiled more than 60 updates to its CUDA-X libraries, tools and technologies for developers building accelerated applications in HPC-related fields such as 6G, quantum computing, genomics, drug discovery and logistics optimization, as well as robotics, cybersecurity and data analytics. NVIDIA also said the CUDA platform […]

The post NVIDIA at GTC: 60+ Updates to CUDA-X Libraries for Accelerated Computing appeared first on insideHPC.

IonQ Aria Coming to Microsoft’s Azure Quantum Platform

COLLEGE PARK, Md. – March 21, 2022 – Quantum computing company IonQ today announced it has signed an agreement with Microsoft to bring IonQ Aria, the company’s latest quantum system, to the Azure Quantum cloud platform. IonQ said the IonQ Aria is its most advanced commercially available quantum computer. Featuring 20 Algorithmic Qubits (#AQ), it is also the […]

The post IonQ Aria Coming to Microsoft’s Azure Quantum Platform appeared first on insideHPC.

Over a Quarter of Banks Report Improved Revenue After Implementing AI

Adoption of artificial intelligence (AI) is growing rapidly in the financial services sector, as organizations all seek to benefit from the advantages brought about by the technology, including streamlined processes,

The post Over a Quarter of Banks Report Improved Revenue After Implementing AI appeared first on Fintech Singapore.

Seven Hardware Advances We Need to Enable The AI Revolution

New architectures hold promise for low power, distributed AI.

The post Seven Hardware Advances We Need to Enable The AI Revolution appeared first on Semiconductor Engineering.

Fujitsu Leverages World’s Fastest Supercomputer and AI Tech in Joint Field Trial for Safe and Efficient Tsunami Evacuations in Kawasaki City

TOKYO, Mar 3, 2022 - (JCN Newswire) - The International Research Institute of Disaster Science (IRIDeS) at Tohoku University, the Earthquake Research Institute at the University of Tokyo, Fujitsu, and the City of Kawasaki(1) today announced plans to conduct a field trial of AI that is constructed on the world's fastest supercomputer, Japan's Fugaku(2), and provide high-resolution, real time tsunami flooding forecast for supporting safe and efficient tsunami evacuations during disaster prevention drills in Kawasaki, Japan on Saturday, March 12, 2022.

Figure 1: Image of the dedicated app (Japanese and English language version in development)

Figure 2: Image of community-based evacuation process

During this field trial, participants from the surrounding community will be notified about the arrival time and the flooding height of a predicted tsunami through a special smartphone application developed by Fujitsu. The exercise aims to identify the most effective ways to use the technology to support local communities in sharing information amongst residents and avoid cases of people being left behind during evacuations.

This project represents the latest milestone in an ongoing initiative between the parties. As part of a framework agreement signed between Kawasaki City and Fujitsu in 2014 to promote the creation of sustainable communities(3), the four parties have been engaging in R&D activities as part of the "Joint Project Aiming for Tsunami Disaster Risk Reduction Using ICT in the Kawasaki Coastal Area" since 2017. Verifying the effectiveness of information sharing amongst field trial participants via the app, the parties aim to further promote the practical use of disaster risk mitigation methodologies that leverage the capabilities of AI, high performance computing (HPC), and communications technologies for tsunami flooding forecasts, ultimately contributing to the realization of a safer society.

Background

Recent years have witnessed the development of several different technologies for real time tsunami flooding forecasts that make use of the capabilities of high-speed supercomputers and AI. Barriers to the practical deployment of such technologies remain, however, including how to share relevant information in an inclusive yet effective manner to the public, taking into account individual differences of users and varying levels of digital literacy.

The four parties aim to address some of these challenges by conducting a field trial to test the technology with actual residents of the community in circumstances that replicate the uncertainty of an actual disaster, including the possibility that the AI forecast information itself isn't 100% certain.

Outline of the field trial

Date: March 12, 2022 (Saturday) 8: 15 to 11: 15 JST (held at the same time as the comprehensive disaster prevention drills in Kawasaki Ward)

Place: Kawasaki Municipal Kawanakajima Junior High School and surrounding area (Kawasaki Ward, Kawasaki City)

Participants: local residents and project members

Overview: Field trial to verify the effectiveness of evacuation using AI tsunami flooding forecast data(4)-this data will be delivered to a dedicated app developed by Fujitsu, which residents and organizers will refer to in real time during a simulated evacuation. The field trial will be conducted under the supervision and guidance of Prof. Fumihiko Imamura, Director of the International Research Institute of Disaster Science at Tohoku University and Prof. Takashi Furumura at the Earthquake Research Institute at the University of Tokyo.

Several participants briefed in advance of the field trial (including the possibility that AI forecast information isn't 100% certain) will act as disaster information leaders and receive detailed information including the predicted arrival time and flooding height of the tsunami. Other participants will receive a text message on the app indicating that AI has forecast flooding for their location.

When evacuating, disaster information leaders can check the current location of participants in the same community and alert those who are behind in evacuating by using the app's messaging function.

The field trial will be followed by an online disaster prevention course, in which evacuation actions of the participants will be reviewed.

About the app

The app has two display modes. The first one is a detailed mode, in which AI-generated tsunami flooding forecast data is displayed on a map in different colors corresponding to the arrival time and the flooding height of the incoming tsunami. The second mode is a simple display that only shows a text message warning users in a certain area about the predicted tsunami flooding. The app also includes a messaging function that allows users to check the location of other community members on a map and help one another to communicate and gather safely during the evacuation. Users can further post and share information on points along evacuation routes that are assumed to be damaged and difficult to pass (a function which has been validated in prior field trials(5)) and also share real-time information about the number of people who have successfully evacuated and gathered at evacuation centers.

Future Plans

Based on the feedback from the participants of the field trial, the four parties will further investigate methods to transmit and use AI disaster forecasting to realize safer and more efficient community-based evacuation and promote the use and practical application of AI to support disaster mitigation measures and contribute to the realization of safer local communities.

(1) Kawasaki City :
city located in Kanagawa Prefecture, Japan; Mayor: Norihiko Fukuda
(2) AI that is constructed on the world's fastest supercomputer, Japan's Fugaku :
This AI was built using computational resources of supercomputer Fugaku provided by the RIKEN Center for Computational Science through the HPCI System Research Project (Project ID: hp210220).
(3) a framework agreement signed between Kawasaki City and Fujitsu in 2014 to promote the creation of sustainable communities :
Kawasaki City and Fujitsu in June 2021 further strengthened their collaboration to promote various initiatives utilizing cutting-edge digital technology, focusing on the four priority themes of "health," "safety and security," "environment," and "work and living" that will further increase the value of communities by making them more livable.
"Fujitsu, City of Kawasaki Strengthen Cooperation to Realize a Sustainable "Future City""
(4) AI tsunami flooding forecast data :
Authorization from the Japan Meteorological Agency (JMA) based on the Meteorological Service Act is required when actual tsunami forecast is issued by an organization other than JMA.
(5) prior field trials :
From 2018 to 2020, the four parties conducted experiments to realize tsunami evacuation using smartphone applications.
"Fujitsu Leverages AI Tech in Joint Project to Contribute to Safe Tsunami Evacuation in Kawasaki"
"Fujitsu Optimizes Evacuation Center Management to Mitigate COVID-19 Risk with AI in Joint Field Trial in City of Kawasaki"

About Fujitsu

Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Approximately 126,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$34 billion) for the fiscal year ended March 31, 2021. For more information, please see www.fujitsu.com.

Press Contacts:
Tsunami Engineering Lab
International Research Institute of Disaster Science (IRIDeS)
Tohoku University
Dr. Daisuke Sugawara
E-mail:[email protected]


Copyright 2022 JCN Newswire. All rights reserved. www.jcnnewswire.comThe International Research Institute of Disaster Science (IRIDeS) at Tohoku University, the Earthquake Research Institute at the University of Tokyo, Fujitsu, and the City of Kawasaki today announced plans to conduct a field trial of AI that is constructed on the world's fastest supercomputer, Japan's Fugaku.

CORRECTING and REPLACING WEKA Increases Funding to $140 Million to Accelerate AI Data Platform Adoption in the Enterprise

CAMPBELL, Calif.–(BUSINESS WIRE)–Please replace the release dated January 4, 2022 with the following corrected version due to multiple revisions. The updated release reads: WEKA Increases Funding to $140 Million to Accelerate AI Data Platform Adoption in the Enterprise WEKA, the data platform for AI, today announced that Hitachi Ventures led its recent round raising $73 […]

The post CORRECTING and REPLACING WEKA Increases Funding to $140 Million to Accelerate AI Data Platform Adoption in the Enterprise appeared first on Fintech News.

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