Fujitsu Research News Update - March 2024

Exploring Technology Horizons at the Fujitsu ActivateNow Technology Summit

In March, Fujitsu Research hosted this year's Fujitsu ActivateNow Technology Summit at the Fujitsu Research of America facility, nestled in the heart of Silicon Valley (#fants2024). Under the theme of “AI-Driven Transformation: Morphing Challenges to Opportunities,” the technology summit focused on the dynamic role of advanced technologies in AI and Computing, exploring the profound impact AI has in transforming challenges into opportunities for customers.

Global Chief Technology Officer Vivek Mahajan presented Fujitsu's technology strategy, with a deep dive into the Fujitsu Kozuchi cloud-based AI platform that allow rapid development, testing, and implementation across seven AI areas, including unique technologies for the fairness and explainabilty of AI.

Compelling keynotes were delivered by the distinguished Prof Stephen Smith, Research Professor of Robotics at Carnegie Mellon University, and Prof George Smoot, Nobel laureate in Physics and Professor Emeritus at the Department of Physics, University of California, Berkeley .

All of this was complemented by thought-provoking panel discussions between industry leaders, and Fujitsu's showcase across 12 different technologies including Generative AI, quantum computing, Social Digital Twin, and optimization. Fujitsu's research teams demonstrated how we are working in pursuit of a more sustainable future.

Focus on Quantum - More from the First Fujitsu Quantum Day

Our recent Fujitsu Quantum Day in Delft included the unveiling of the winners of the Fujitsu Quantum Simulator Challenge competition - as the culmination of the 7-month $100,000 global competition to test Fujitsu’s 39-cubit quantum simulator on novel problems and applications.  The Finnish team from Quanscient Oy took the first prize for its project “quantum algorithms for fluid dynamics".

Spotlight on AI Ethics

European milestone as MEPs approve world's first comprehensive AI law

Establishing the world’s first comprehensive framework for constraining the risks of AI has moved one step closer, as the European Parliament formally approves the Artificial Intelligence Act, designed to ensure safety and compliance with fundamental rights, while boosting innovation. It’s an important step on our journey to making AI safer and ensuring that technology developments are truly human-centric, underpinning the introduction of AI technologies into innovations and business.

As one of the founding members of AI4People and of the High Level Group on AI created by the European Commission in 2018, Fujitsu has been a consistent and pioneering advocate of new guidelines and regulations in the field of AI ethics – contributing extensively to the Ethics Guidelines for Trustworthy AI, which served as the basis of the AI Act. In 2020, Fujitsu examined how trustworthy AI can be implemented in Automotive, Banking & Finance and reported the findings in the AI4People’s 7 AI Global Frameworks report presented to the European Parliament. Currently, Fujitsu is the Co-Chair of the Scientific Committee of AI4People and is contributing to the forthcoming Whitepaper “Towards an Ethics by Design Approach for AI”.

 The AI Act’s risk-based approach aligns with Fujitsu’s commitment to responsible, human-centric AI, and with Fujitsu’s AI Trust solutions, which have been recently accepted in the OECD.AI Policy Observatory Catalogue of Tools & Metrics for Trustworthy AI.

• Fujitsu AI Ethics Impact Assessment
• Intersectional Fairness

Fujitsu's Technologies for AI Ethics

We invite you to explore three of our advanced technologies relating to AI Ethics - as part of our Fujitsu Kozuchi cutting-edge AI technologies.

• Fujitsu AI Ethics for Fairness:  allowing for the simple verification and improvement of AI learning data and fairness of decisions on a web browser
• Fujitsu AI Ethics Impact Assessment: Simply enter the configuration AI system diagram into the tool and access a list of all ethical risks under European AI ethical guidelines.
• Fujitsu LLM Bias Diagnosis: providing the ability to diagnose bias in LLMs (Large Language Models) from various points of views, allowing users to choose the most appropriate LLM.

In the News - Highlights

Fujitsu and Carnegie Mellon University develop AI-powered social digital twin technology with traffic data from Pittsburgh

Fujitsu and Tokai National Higher Education and Research System collaborate on AI-based space weather research

Japanese joint research group win Prime Minister’s Award with ultra high-performance computing platform using jointly developed 64-qubit quantum computer

 Our Team

Research Challenges - working on the advanced Web3 Acceleration Platform

In this two-part series, four of our young researchers responsible for Fujitsu’s R&D of Web3 technology explained the background to our research initiatives as well as some of the challenges.

Part 1: we introduce the reasons why Fujitsu is working on Web3, followed by details about our ConnectionChain (*2) and Trustable Internet (*3) technologies that support the Web3 Acceleration Platform.

Part 2: we hear about the challenges involved in the development of ConnectionChain and Trustable Internet, and also the creation of new value with future partners through the Web3 Acceleration Platform.

In our “Researcher’s Dream” Series, we talk to members of the research team about their personal path to a career in research, why they joined Fujitsu, their research activities and the future they dream of creating.

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Find out more about our global research activities at Fujitsu Research and Development

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