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Orson Welles lost film reconstructed with AI

More than 80 years after Orson Welles’ The Magnificent Ambersons was cut and lost, AI is being used to restore 43 missing minutes of the film.

Amazon-backed Showrunner, led by Edward Saatchi, is experimenting with AI technology to rebuild the destroyed sequences as part of a broader push to reimagine how Hollywood might use AI in storytelling.

The project is not intended for commercial release, since Showrunner has not secured rights from Warner Bros. or Concord, but instead aims to explore what could have been the director’s original vision.

The initiative marks a shift in the role of AI in filmmaking. Rather than serving only as a tool for effects, dubbing or storyboarding, it is being positioned as a foundation for long-form narrative creation.

Showrunner is developing AI models capable of sustaining complex plots, with the goal of eventually generating entire films. Saatchi envisions the platform as a type of ‘Netflix of AI,’ where audiences might one day interact with intellectual property and generate their own stories.

To reconstruct The Magnificent Ambersons, the company is combining traditional techniques with AI tools. New sequences will be shot with actors, while AI will be used for face and pose transfer to replicate the original cast.

Thousands of archival set photographs are being used to digitally recreate the film’s environments.

Filmmaker Brian Rose, who has rebuilt 30,000 missing frames over five years, has reconstructed set movements and timing to match the lost scenes, while VFX expert Tom Clive will assist in refining the likenesses of the original actors.

A project that underlines both the creative possibilities and ethical tensions surrounding AI in cinema. While the reconstructed footage will not be commercially exploited, it raises questions about the use of copyrighted material in training AI and the risk of replacing human creators.

For many, however, the experiment offers a glimpse of what Welles’ ambitious work might have looked like had it survived intact.

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AI-tissue collaboration could transform drug trials and precision medicine

Researchers combine human tissue models with explainable AI to analyse patient data and identify treatments that work best for specific patients. First applied to inflammatory bowel disease, the approach could improve clinical trial success rates and accelerate drug discovery.

REPROCELL, IBM, and the STFC Hartree Centre have developed Pharmacology-AI, a platform uniting tissue models with machine learning. Delivered through the Hartree National Centre for Digital Innovation, it reduces costs, enhances trial design, and enables more targeted therapies.

Unlike tools that seek to replace human expertise, the platform acts as a decision-support system. It helps scientists detect patterns in complex datasets while keeping outputs interpretable for clinical trial use. Developers emphasised usability, ensuring non-technical staff can work with the system.

Human fresh tissue models play a central role, preserving biological complexity and simulating drug effects before trials. However, this generates reliable data that can be paired with AI to identify optimal patient profiles and reduce the risk of costly trial failures.

The project’s success suggests broad applications beyond IBD. With explainable AI and high-quality patient data, Pharmacology-AI could improve outcomes across multiple disease areas, making drug development faster, more efficient, and more precise.

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Quantum-proof cryptography emerges as key test for stablecoins

Stablecoins have become central to the digital economy, with billions in daily transactions and stronger regulatory backing under the GENIUS Act. Yet experts warn that advances in quantum computing could undermine their very foundations.

Elliptic curve and RSA cryptography, widely used in stablecoin systems, are expected to be breakable once ‘Q-Day’ arrives. Quantum-equipped attackers could instantly derive private keys from public addresses, exposing entire networks to theft.

The immutability of blockchains makes upgrading cryptographic schemes especially challenging. Dormant wallets and legacy addresses may prove vulnerable, putting billions of dollars at risk if issuers fail to take action promptly.

Researchers highlight lattice-based and hash-based algorithms as viable ‘quantum-safe’ alternatives. Stablecoins built with crypto-agility, enabling seamless upgrades, will better adapt to new standards and avoid disruptive forks.

Regulators are also moving. NIST is finalising post-quantum cryptographic standards, and new rules will likely be established before 2030. Stablecoins that embed resilience today may set the global benchmark for digital trust in the quantum age.

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Trilateral quantum talks highlight innovation and security priorities

The United States, Japan, and South Korea held two Trilateral Quantum Cooperation meetings this week in Seoul and Tokyo. Officials and experts from government and industry gathered to discuss securing quantum ecosystems against cyber, physical, and intellectual property threats.

The US State Department stressed that joint efforts will ensure breakthroughs in quantum computing benefit citizens while safeguarding innovation. Officials said cooperation is essential as quantum technologies could reshape industries, global power balances, and economic prosperity.

The President of South Korea, Lee Jae Myung, described the partnership as entering a ‘golden era’, noting that Seoul, Washington, and Tokyo must work together both to address North Korea and to drive technological progress.

The talks come as Paul Dabbar, the former CEO of Bohr Quantum Technology, begins his role as US Deputy Secretary of Commerce. Dabbar brings experience in deploying emerging quantum network technologies to the new trilateral framework.

North Korea has also signalled interest in quantum computing for economic development. Analysts note that quantum’s lower energy demand compared to supercomputers could appeal to a country plagued by chronic power shortages.

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Cyberattack forces Jaguar Land Rover to halt production

Production at Jaguar Land Rover (JLR) is to remain halted until at least next week after a cyberattack crippled the carmaker’s operations. Disruption is expected to last through September and possibly into October.

The UK’s largest car manufacturer, owned by Tata, has suspended activity at its plants in Halewood, Solihull, and Wolverhampton. Thousands of staff have been told to stay home on full pay while ‘banking’ hours are to be recovered later.

Suppliers, including Evtec, WHS Plastics, SurTec, and OPmobility, which employ more than 6,000 people in the UK, have also paused their operations. The Sunday Times reported speculation that the outage could drag on for most of September.

While there is no evidence of a data breach, J L R has notified the Information Commissioner’s Office about potential risks. Dozens of internal systems, including spare parts databases, remain offline, forcing dealerships to revert to manual processes.

Hackers linked to the groups Scattered Spider, Lapsus$, and ShinyHunters have claimed responsibility for the incident. JLR stated that it was collaborating with cybersecurity experts and law enforcement to restore systems in a controlled and safe manner.

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Conti and LockBit dominate ransomware landscape with record attacks

Ransomware groups have evolved into billion-dollar operations targeting critical infrastructure across multiple countries, employing increasingly sophisticated extortion schemes. Between 2020 and 2022, more than 865 documented attacks were recorded across Australia, Canada, New Zealand, and the UK.

Criminals have escalated from simple encryption to double and triple extortion, threatening to leak stolen data as added leverage. Attack vectors include phishing, botnets, and unpatched flaws. Once inside, attackers use stealthy tools to persist and spread.

BlackSuit, formerly known as Conti, led with 141 attacks, followed by LockBit’s 129, according to data from the Australian Institute of Criminology. Ransomware-as-a-Service groups hit higher volumes by splitting developers from affiliates handling breaches and negotiations.

Industrial targets bore the brunt, with 239 attacks on manufacturing and building products. The consumer goods, real estate, financial services, and technology sectors also featured prominently. Analysts note that industrial firms are often pressured into quick ransom payments to restore production.

Experts warn that today’s ransomware combines military-grade encryption with advanced reconnaissance and backup targeting, raising the stakes for defenders. The scale of activity underscores how resilient these groups remain, adapting rapidly to law enforcement crackdowns and shifting market opportunities.

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3D-printed ion traps could accelerate quantum computer scaling

Quantum computers may soon grow more powerful through 3D printing, with researchers building miniaturised ion traps to improve scalability and performance.

Ion traps, which confine ions and control their quantum states, play a central role in ion-based qubits. Researchers at UC Berkeley created 3D-printed traps just a few hundred microns wide, which captured ions up to ten times more efficiently than conventional versions.

The new traps also reduced waiting times, allowing ions to be usable more quickly once the system is activated. Hartmut Häffner, who led the study, said the approach could enable scaling to far larger numbers of qubits while boosting speed.

3D printing offers flexibility not possible with chip-style manufacturing, allowing for more complex shapes and designs. Team members say they are already working on new iterations, with future versions expected to integrate optical components such as miniaturised lasers.

Experts argue that this method could address the challenges of low yield, high costs, and poor reproducibility in current ion-trap manufacturing, paving the way for scalable quantum computing and applications in other fields, including mass spectrometry.

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ITU warns global Internet access by 2030 could cost nearly USD 2.8 trillion

Universal Internet connectivity by 2030 could cost up to $2.8 trillion, according to the International Telecommunication Union (ITU) and Saudi Arabia’s Communications, Space, and Technology (CST) Commission. The blueprint urges global cooperation to connect the one-third of humanity still offline.

The largest share, up to $1.7 trillion, would be allocated to expanding broadband through fibre, wireless, and satellite networks. Nearly $1 trillion is needed for affordability measures, alongside $152 billion for digital skills programmes.

ITU Secretary-General Doreen Bogdan-Martin emphasised that connectivity is essential for access to education, employment, and vital services. She noted the stark divide between high-income countries, where 93% of people are online, and low-income states, where only 27% use the Internet.

The study shows costs have risen fivefold since ITU’s 2020 Connecting Humanity report, reflecting both higher demand and widening divides. Haytham Al-Ohali from Saudi Arabia said the figures underscore the urgency of investment and knowledge sharing to achieve meaningful connectivity.

The report recommends new business models and stronger cooperation between governments, industry, and civil society. Proposed measures include using schools as Internet gateways, boosting Africa’s energy infrastructure, and improving localised data collection to accelerate digital inclusion.

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UK factories closed as cyberattack disrupts Jaguar Land Rover

Jaguar Land Rover (JLR) has ordered factory staff to work from home until at least next Tuesday as it recovers from a major cyberattack. Production remains suspended at key UK sites, including Halewood, Solihull, and Wolverhampton.

The disruption, first reported earlier this week, has ‘severely impacted’ production and sales, according to JLR. Reports suggest that assembly line workers have been instructed not to return before 9 September, while the situation remains under review.

The hack has hit operations beyond manufacturing, with dealerships unable to order parts and some customer handovers delayed. The timing is particularly disruptive, coinciding with the September release of new registration plates, which traditionally boosts demand.

A group of young hackers on Telegram, calling themselves Scattered Lapsus$ Hunters, has claimed responsibility for the incident. Linked to earlier attacks on Marks & Spencer and Harrods, the group reportedly shared screenshots of JLR’s internal IT systems as proof.

The incident follows a wider spate of UK retail and automotive cyberattacks this year. JLR has stated that it is working quickly to restore systems and emphasised that there is ‘no evidence’ that customer data has been compromised.

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Advanced Pilot Assistance System enters year-long trial on CB Pacific

Mythos AI has installed its Advanced Pilot Assistance System (APAS) on the CB Pacific, a chemical tanker operated by CB Tankers under the Lomar group. The deployment marks the beginning of a year-long trial to introduce advanced bridge intelligence to the commercial shipping industry.

APAS uses a radar-first perception system that integrates with existing ship radars, processing multiple data streams to deliver prioritised alerts. By reducing its reliance on machine vision, the system aims to eliminate distractions, enhance decision-making, and improve navigation safety.

The CB Pacific, equipped with Furuno radar and consistent routes, will serve as a testbed to evaluate APAS performance in live conditions. Trials will assess collision prediction, safe navigation, signal processing, and compliance with maritime rules.

Mythos AI emphasises that APAS is designed to support crews, not replace them. CEO Geoff Douglass said the installation marks the company’s first operational use of the system on a tanker and a milestone in its wider commercial roadmap.

For LomarLabs, the pilot showcases its hands-on innovation model, offering vessel access and oversight to facilitate collaboration with startups. Managing Director Stylianos Papageorgiou said the radar-first architecture shows how modular autonomy can be advanced through trust, time, and fleet partnerships.

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