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Europe’s biggest companies call for two-year pause on EU’s landmark AI Act

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A coalition of Europe’s biggest enterprises, including Airbus SE, Mercedes-Benz AG and BNP Paribas Group is asking the European Union to freeze the implementation of a new artificial intelligence law, saying it could prevent the bloc from keeping up with the pace of development in China and the United States.

The chief executive officers of 44 companies, which include Europe’s top AI developer Mistral AI, have asked European Commission President Ursula von der Leyen to delay the AI Act for two years. They say its unclear, overlapping rules will discourage European investment in AI and slow down innovation, the Financial Times reported.

In an open letter to EU officials, the company heads argue that the act will put Europe’s AI ambitions at risk, because it “jeopardizes” the development of European champions and hampers their ability to deploy the technology at the scale needed to compete globally.

Among the business leaders who added their signatures to the letter are the CEOs of the French retailer Carrefour Group S.A., the Dutch electronics firm Koninklijke Philips N.V. and chipmaking equipment manufacturer ASML Holdings N.V.

The companies have strong support in their efforts to pause the rollout of the legislation, with the U.S. government, big technology firms and European business groups all putting pressure on the EU in recent weeks. On Wednesday, Brussels hosted representatives from a number of U.S. tech companies that came to participate in the creation of a revised, software version of the AI Act.

Those discussions focused on a “code of practice” within the Act that’s designed to help guide companies on compliance when deploying large language models such as OpenAI’s GPT-4 and Meta Platforms Inc.’s Llama. The code was originally set to be published in May, but has since been delayed and is expected to be watered-down.

On Monday, the EU’s technology commissioner Henna Virkkunen promised that the guidance would be published before the AI Act formally comes into effect, in August. “We will publish the code of practice before that to support our industry and SMEs to comply with our AI Act,” she stated.

It’s thought that EU Commission officials and member states have been holding intense negotiations behind closed doors in order to try and temper some of the new guidelines and simplify the act’s staggered rollout timeline.

Though the AI Act officially came into law in August 2024, a number of the most important measures within it will only take effect later this year, or beyond. That has resulted in a lot of confusion among European businesses, the Financial Times reported.

“It’s a classic example of regulation that doesn’t take into account the most important thing for industry, which is certainty,” said Cooley LLP co-chair Patrick Van Eecke.

The letter was sponsored by an initiative called the European AI Champions, which is a coalition of 110 companies spread across multiple industries. The group is calling for a two-year pause on the AI Act’s rollout, arguing that to do so would “send a strong signal that Europe is serious about its simplification and competitiveness agenda.”

They’re joined by the founders of and investors in numerous European startups that have voiced similar concerns over the AI Act. Earlier this week, the heads of more than 30 startups signed a letter that said the legislation is a “rushed ticking time bomb,” adding that they believe its unclear rules on the use of general-purpose models could result in a patchwork of national regulations. They fear this would give better-funded U.S. companies a significant competitive advantage, and damage Europe’s own nascent AI industry.

Many European business chiefs fear that using LLMs could leave them at the mercy of the same regulations that govern the biggest technology firms, and are especially worried about being held liable for copyright infringements. The lack of clarity on how EU member states will apply the new rules may deter the adoption of AI tools, the CEOs say, putting them at a disadvantage against their competitors in Asia and the U.S.

For its part, the EU Commission insists that it’s “fully committed to the main goals of the AI Act,” which calls for the establishment of harmonized, risk-based rules across the EU.

Image: SiliconANGLE/Dreamina

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Available Infrastructure Unveils ‘SanQtum’ Secure AI Platform for Critical Infrastructure

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Available Infrastructure (Available) publicly unveiled SanQtum, a first-of-a-kind solution that combines national security-grade cyber protection and the world’s most-trusted enterprise artificial intelligence (AI) capability.


In the modern era, AI-powered, machine-speed decision-making is crucial. Yet a fast-evolving and increasingly sophisticated threat landscape puts operational technology (OT) and cyber-physical systems (CPS), IP and other sensitive data, and proprietary trained AI models at risk. SanQtum is a direct response to that need.


Created through a rigorous development process in collaboration with major enterprise tech partners and government agencies, SanQtum pre-integrates a best-in-breed tech stack in a micro edge data center form factor, ready for deployment anywhere — from near-prem urban sites to telecom towers to austere environments. A first cohort of initial sites is already under construction in Northern Virginia and expected to come online later this year.


SanQtum’s cybersecurity protections include zero trust permissions architecture, quantum-resilient data encryption, and are aligned to DHS, CISA, and other US federal cybersecurity standards. Sovereign AI models with ultra-low-latency computing enable secure decision-making at machine speed when milliseconds matter, wrapped in cyber protections to prevent data theft and AI model poisoning.


The need for more sophisticated cybersecurity solutions is widespread and growing by the day. Globally, the cost of cybercrimes to corporations is forecasted to nearly triple, from $8 trillion in 2023 to $23 trillion by 2027. For government agencies and critical infrastructure, cybersecurity is literally a matter of life and death.


Daniel Gregory, CEO of Available


AI is now seemingly everywhere. So are cyber threats, from nation-state attacks to criminal enterprises. In this environment, decision-making without AI — and AI without cybersecurity protections — are no longer negotiable; they’re mandatory. As we head into the July 4th weekend, which has historically seen a surge in cyber attacks each year, security is top-of-mind for many Americans, businesses, and government agencies. We live in a digital world. And AI is now seemingly everywhere. So are cyber threats, from nation-state attacks to criminal enterprises. In this environment, decision-making without AI — and AI without cybersecurity protections — are no longer negotiable; they’re mandatory.



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Fujitsu’s high-precision skeleton recognition AI adopted to enhance figure skating athlete training — TradingView News

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KAWASAKI, Japan, July 5, 2025 – (JCN Newswire) – Fujitsu Limited today announced that its high-precision skeleton recognition AI technology, which enables the digitization of three-dimensional human movements, has been adopted for use by the Japan Skating Federation. The technology will be used to analyze and enhance the training of figure skating athletes at a training camp to be held at the National Training Center, located at Kansai Airport Ice Arena, from July 3 – 5.

Conventional motion capture technology is impractical for training purposes due to the time-consuming setup, slow result output, and limitations in the number of performances that can be analyzed. Furthermore, markerless motion capture technology, which relies on general video footage for analysis in figure skating, faces challenges in accurately analyzing complex movements such as jumps and spins due to posture deviations and misrecognition. The Japan Skating Federation chose Fujitsu’s skeleton recognition AI technology, developed since 2016 in the fast-paced and complex field of gymnastics, because of its high precision and its ability to reflect analysis results in real-time.

Other features

– Technology based on the world’s first and only internationally-recognized AI gymnastics scoring system

– Proprietary correction algorithms significantly reduce jitter (estimation error) in posture recognition, previously a challenge in image analysis using deep learning

– Photorealistic technology generates large amounts of training data, shortening the learning period significantly. Processes that traditionally required months of manual work can now be automated and completed within a matter of hours.

Future Plans

Fujitsu aims to expand use of its high-precision skeleton recognition AI technology beyond the sports industry into areas such as workload analysis in manufacturing, early disease detection in healthcare, and the utilization of analytical data in the entertainment sector.

Under Fujitsu Uvance, Fujitsu’s cross-industry business model to address societal issues, Fujitsu will continue to advance people’s well-being in society through the use of data and AI, in collaboration with Uvance partners.

Morinari Watanabe, President, International Gymnastics Federation and Member of the International Olympic Committee, comments:

“The IOC announced the Olympic AI Agenda in 2024, recommending the use of cutting-edge technologies, including AI, to enhance scoring fairness and competitive strength. I am very pleased that training based on ice movement analysis, which was previously considered impossible, has been realized. I hope this initiative will lead to the improvement of competitive strength and the further development of the skating world.”

Yohsuke Takeuchi, Director/Chair of High Performance Figure Skating, Japan Skating Federation, comments:

“The Japan Skating Federation carries out analysis of athletes’ jump performance. Marker-based 3D analysis equipment presents significant challenges, including the inability to analyze during trials and the significant time required for analysis, which delays feedback to athletes. We expect that Fujitsu’s high-precision skeleton recognition AI technology and its rapid output of results will solve these problems and contribute to the swift improvement of athletes’ competitive performance. The Japan Skating Federation will further expand the application of this technology and consider its use for motion analysis during competitions as part of its ongoing efforts to utilize cutting-edge technology to improve athletic performance and enhance fan engagement.”

About Fujitsu

Fujitsu’s purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers around the globe, our 113,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: AI, Computing, Networks, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$23 billion) for the fiscal year ended March 31, 2025 and remains the top digital services company in Japan by market share. Find out more: global.fujitsu.

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Source: Fujitsu Ltd

Copyright 2025 JCN Newswire . All rights reserved.



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TwentyOneVC Launches Proprietary AI Trading Program, Expanding Access to Institutional-Grade Technology

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London, UK – TwentyOneVC, a growing force in the digital investment space, has officially launched its proprietary AI trading program, offering a new level of strategy and speed to its community of investors. The platform-exclusive technology introduces advanced automation and precision once reserved for institutional firms, now made accessible through the company’s private investment environment.

Designed exclusively for users of TwentyOneVC, the AI program represents a notable step forward in how algorithmic trading is deployed in both crypto and traditional markets. While mainstream algorithmic tools and generic AI trading bots have grown in popularity, particularly in the digital asset space, the firm’s proprietary system aims to offer a distinct advantage, both in accuracy and market adaptability.

The technology’s foundation lies in a multi-year development effort focused on replicating the analytical depth and strategic sophistication typically available only to private equity firms. Until now, such tools were inaccessible to individual investors or even small funds due to cost, complexity, and data limitations. By removing these barriers, TwentyOneVC intends to bring an enhanced parity to the investment world, without compromising the control and oversight that experienced traders expect.

“Over the past decade, there has been a growing divide between the technology available to institutional players and what individual investors can use,” said a spokesperson at TwentyOneVC. “Our goal was to close that gap, not by offering recycled tools, but by building a proprietary system from the ground up, something designed to respond in real time, digest large data streams, and execute with measurable efficiency.”

The firm’s AI engine integrates with a range of trading strategies across digital and traditional asset classes. It analyzes market sentiment, historical patterns, macroeconomic data, and micro-movements across global exchanges. The result is a constantly evolving framework that assists users in identifying patterns and risk factors that might otherwise go undetected.

Unlike some off-the-shelf AI bots that follow rigid templates or react purely to short-term volatility, TwentyOneVC’s program is designed for deeper situational awareness. The system is not sold or distributed externally and remains an in-house technology exclusive to verified TwentyOneVC clients. According to internal sources, early testing has indicated promising consistency in execution timing and exposure control, though the company emphasizes that the tool is meant to complement, not replace, user decision-making.

In parallel with the AI release, TwentyOneVC has also improved one of the most practical aspects of client experience: fund withdrawals. By integrating blockchain infrastructure into its backend, the company now supports rapid withdrawals for clients in Canada and Australia, allowing funds to be moved quickly from trading accounts to local banks. This development bypasses the traditional 2-3 business day delays still common across many investment platforms.

The withdrawal system combines cryptocurrency rails with local banking integrations, streamlining the movement of funds without requiring technical knowledge from users. For investors in fast-paced markets, the ability to respond quickly to liquidity needs can make a critical difference.

TwentyOneVC’s latest offerings reflect a broader trend in the investment industry, one where accessibility, automation, and transparency are no longer luxuries, but expectations. By offering tools that were once out of reach for all but the most well-funded institutions, the company positions itself at the intersection of innovation and usability.

Looking ahead, TwentyOneVC plans to continue refining its AI technology and expand its instant withdrawal capabilities into additional markets. As financial tools evolve, the company’s focus remains fixed on building infrastructure that supports strategic, empowered, and timely investment decisions.

About TwentyOneVC

TwentyOneVC is a private investment platform offering access to a range of asset classes and technology-driven tools for modern investors. With a focus on innovation, transparency, and execution speed, the company blends institutional-grade infrastructure with a client-first approach. For more information, visit www.twentyonevc.com.

Website: www.twentyonevc.com

Investing involves risk and your investment may lose value. Past performance gives no indication of future results. These statements do not constitute and cannot replace investment advice.



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