Powerful Enterprise AI, Quantum Computing and Research
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Powerful Enterprise AI, Quantum Computing and Research

Fujitsu Launches AI Framework as Ex-Google CEO Funds CERN AI and Chinese Physicist Builds Quantum Supercomputer

In a testament to the fast-paced advancements in technology, three major developments are set to reshape the landscape of artificial intelligence and quantum computing.

Fujitsu has introduced the world’s first enterprise-wide generative AI framework, poised to meet the evolving demands of businesses globally.

At the same time, the former CEO of Google is funding cutting-edge AI research at CERN , Europe's leading physics institute, signaling an escalating technological rivalry with China.

Adding to the momentum, Chinese physicist Duan Luming, who recently returned from the US, has spearheaded the creation of the world’s most powerful ion-based quantum computer.

These pioneering initiatives highlight the growing international competition and collaboration in the fields of AI and quantum computing.


Fujitsu to Provide the World’s First Enterprise-wide Generative AI Framework Technology to Meet Changing Needs of Companies

RCR Wireless

富士通 has introduced an innovative generative AI framework for enterprises, aimed at addressing the dynamic needs of businesses and ensuring compliance with extensive data and regulatory requirements. This technology will be part of the Fujitsu Kozuchi lineup, available globally from July 2024.

The framework incorporates several advanced technologies designed to enhance the use of generative AI in enterprise settings:


Overview of a generative AI framework for enterprises: Fujitsu


  1. Knowledge Graph Extended Retrieval-Augmented Generation (RAG): This technology enhances traditional RAG by utilizing knowledge graphs to reference vast amounts of data, thereby extending the capacity of large language models (LLMs) to handle over ten million tokens. This improvement allows the AI to make logical inferences and provide explainable outputs based on relationships within the knowledge graph, ensuring accuracy and compliance with laws and regulations.
  2. Generative AI Amalgamation Technology: This innovation enables the automatic creation of specialized generative AI models tailored to specific business tasks without the need for prompt engineering or fine-tuning. By combining various machine learning models, it predicts the most suitable AI model for each task, resulting in high-performance, energy-efficient, and sustainable AI solutions that can be generated within hours to days.
  3. Generative AI Auditing Technology: As the world’s first of its kind, this technology audits the compliance of AI outputs with corporate and legal standards. It includes explainable AI technology to present the basis of its answers and hallucination determining technology to ensure consistency and reliability in multimodal inputs. This ensures that the AI's decisions are transparent and adhere to regulatory requirements.


Fujitsu’s framework has already shown significant potential in various applications, including reducing man-hours for contract compliance, improving support desk efficiency, and optimizing driver allocation in the transportation industry. The technology is also being tested for creating quality assurance materials, analyzing mobile network issues, monitoring employee fatigue, and interpreting large-scale genome data.

Fujitsu plans to expand its range of enterprise-specific AI models, including those for the Japanese language and code generation. Additionally, through the GENIAC project, Fujitsu aims to develop LLMs that generate lightweight knowledge graphs for secure, on-premise use.

Fujitsu's initiative aligns with the United Nations Sustainable Development Goals (SDGs), reflecting its commitment to creating a sustainable and innovative future.

https://www.fujitsu.com/global/about/resources/news/press-releases/2024/0604-01.html


Ex-Google CEO Funds AI Research at Europe’s Top Physics Hub CERN as Rivalry with China Looms

Plans for CERN’s 90-kilometer-long Future Circular Collider


Former Google CEO Eric Schmidt 's donation of $48 million to CERN (the European Organization for Nuclear Research) marks a significant shift in funding for frontier research, particularly in the context of the technological competition between the West and China. This contribution, made through the Eric & Wendy Schmidt Fund for Strategic Innovation, aims to develop AI algorithms to analyze data from CERN’s Large Hadron Collider (LHC), the world's most powerful particle accelerator.

Dipole magnets which bend the path of accelerated protons in the CERN’s 27-kilometer long Large Hadron Collider, which runs beneath France and Switzerland near Geneva.


CERN is currently facing the challenge of funding the construction of a new, much larger collider, the Future Circular Collider (FCC), which is estimated to cost $17 billion. The LHC, which discovered the Higgs Boson in 2012, will reach the end of its operational life by the late 2030s. Traditionally, CERN has been funded by contributions from its 23 member states and observer partners like the US, focusing on pure research. The Schmidts' donation is unprecedented for CERN, as it comes from the private sector and supports pure research.

The development of the FCC is critical as it promises to advance high-energy particle physics, potentially offering insights into dark energy and dark matter. However, securing funding is challenging, especially with China's proposal to build its own collider, which could shift the leadership in this field from Europe and the US to China. This scenario underscores the importance of international collaboration in maintaining technological and scientific leadership.

CERN’s historical significance extends beyond particle physics, having been the birthplace of the World Wide Web. The ongoing technological race between the US, EU, and China, particularly in fields like microchips and electric vehicles, makes international partnerships crucial. The US has a significant presence at CERN, with over 2,000 researchers from American institutions.

The future of the FCC will be clearer after a feasibility study concludes in 2025, with a decision expected around 2027 or 2028. The proposed FCC would be a 90-kilometer ring, significantly larger than the current 27-kilometer LHC, and would operate beneath France and Switzerland, producing collisions at much higher energies.

Additionally, CERN is phasing out its cooperation with Russia due to the ongoing conflict in Ukraine, adhering to EU sanctions while continuing to work with unaffiliated Russian scientists.

This development signals a potential new era in the funding and execution of high-energy physics research, highlighting the strategic importance of maintaining leadership in this advanced scientific domain amid global competition.

https://www.bloomberg.com/news/articles/2024-06-04/ex-google-ceo-funds-ai-research-at-europe-s-top-physics-hub-amid-china-rivalry


US-returned Chinese Physicist Duan Luming and Team Build World’s Most Powerful Ion-based Quantum Computing Machine

Duan Luming (right) with some members of his quantum computing research team at Tsinghua University. Image: Handout

Chinese physicist Duan Luming and his team at 清华大学 have made a groundbreaking advancement in quantum computing by constructing the world's most powerful ion-based quantum simulation machine. This significant milestone, published in the journal Nature, has been recognized as a major achievement in the field of quantum computing.

Experimental image of the two-dimensional crystal of 512 ions and typical single-qubit-resolved single-shot measurement outcomes for 300-ion qubits. Photo: Handout


Key Points of the Breakthrough

  1. Two-Dimensional Ion Crystal: Duan's team achieved the stable trapping and cooling of a two-dimensional crystal containing up to 512 ions. This is the largest quantum simulation performed using a trapped-ion system, surpassing previous achievements that utilized one-dimensional crystals with up to 61 ions.
  2. Quantum Simulation and Computation: The team managed to conduct quantum simulation calculations with 300-ion qubits. The complexity of these simulations far exceeds the capabilities of classical computers, demonstrating the immense potential of their quantum machine.
  3. Trapped-Ion Technique: This approach involves using electromagnetic fields to trap and suspend ions in free space. The qubits, or quantum bits, are stored in stable electronic states of the ions, with quantum information transferred through their collective motion in a shared trap. This method is considered one of the most promising architectures for building scalable and universal quantum computers.
  4. Scalability Achievement: One of the key challenges in quantum computing is scalability. Duan's team has made significant progress by scaling up the number of ions in a stable and controlled manner. This advancement is expected to pave the way for more powerful quantum computers in the future.

Background of Duan Luming

Duan Luming received his doctorate from the University of Science and Technology of China in 1998. He spent 15 years teaching in the United States, primarily at the 密西根大学 , before returning to China in 2018. He is now a full-time professor at 清华大学 's Institute for Interdisciplinary Information Sciences.

Significance of the Research

This breakthrough in ion-based quantum computing is a crucial step towards the development of large-scale quantum computers. Quantum simulators, like the one developed by Duan's team, are essential tools for advancing scientific knowledge and developing new technologies. Their ability to handle complex computations that are beyond the reach of classical computers highlights the transformative potential of quantum computing.

Duan and his colleagues' success in achieving a stable and scalable quantum simulation system underscores the significant strides being made in the field, positioning China as a leading force in the global race for quantum supremacy

https://www.scmp.com/news/china/science/article/3264742/us-returned-chinese-physicist-duan-luming-and-team-build-worlds-most-powerful-ion-based-quantum?campaign=3264742&module=perpetual_scroll_0&pgtype=article


Conclusion

The recent strides in AI and quantum computing by 富士通 , CERN , and 清华大学 represent a convergence of innovation, collaboration, and competition on the global stage.

Fujitsu's launch of an enterprise-wide generative AI framework signifies a leap forward in addressing evolving business needs, while Eric Schmidt's investment in AI research at CERN underscores the imperative of private sector involvement in advancing scientific frontiers. Concurrently, Duan Luming's team's achievement in building the world's most powerful ion-based quantum computer reflects China's growing prominence in quantum technology.

Together, these developments underscore the dynamic nature of technological progress and the strategic importance of international collaboration amidst increasing competition.

As these fields continue to evolve, they hold the promise of reshaping industries, advancing scientific understanding, and driving innovation in unforeseen ways.


Sources: fujitsu.com , bloomberg.com , scmp.com

富士通 CERN 清华大学 密西根大学

#TechInnovation #AIAdvancements #GenerativeAI #RAG #Hallucination #RetrievalAugmentedGeneration #QuantumComputing #GlobalCollaboration #TechLeadership #FutureTech #InnovationRace #FujitsuAI #CERNResearch #ChinaTech #US #UnitedStates #EU #Europe #EuropeanUnion #France #Switzerland

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