India deploys AI to modernise its military operations

In a move reflecting its growing strategic ambitions, India is rapidly implementing AI across its defence forces. The country’s military has moved from policy to practice, using tools from real-time sensor fusion to predictive maintenance to transform how it fights.

The shift has involved institutional change. India’s Defence AI Council and Defence AI Project Agency (established 2019) are steering an ecosystem that includes labs such as the Centre for Artificial Intelligence & Robotics of the Defence Research and Development Organisation (DRDO).

One recent example is the cross-border operation Operation Sindoor (May 2025), in which AI-driven platforms appeared in roles ranging from intelligence analysis to operational coordination.

This effort signals more than just a technological upgrade. It underscores a shift in warfare logic, where systems of systems, connectivity and rapid decision-making matter more than sheer numbers.

India’s incorporation of AI into its capabilities, drone swarming, combat simulation and logistics optimisation, is aligned with broader trends in defence innovation and digital diplomacy. The country’s strategy now places AI at the heart of its procurement demands and force design.

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Alliance science pact lifts US–Korea cooperation on AI, quantum, 6G, and space

The United States and South Korea agreed on a broad science and technology memorandum to deepen alliance ties and bolster Indo-Pacific stability. The non-binding pact aims to accelerate innovation while protecting critical capabilities. Both sides cast it as groundwork for a new Golden Age of Innovation.

AI sits at the centre. Plans include pro-innovation policy alignment, trusted exports across the stack, AI-ready datasets, safety standards, and enforcement of compute protection. Joint metrology and standards work links the US Center for AI Standards and Innovation with the AI Safety Institute of South Korea.

Trusted technology leadership extends beyond AI. The memorandum outlines shared research security, capacity building for universities and industry, and joint threat analysis. Telecommunications cooperation targets interoperable 6G supply chains and coordinated standards activity with industry partners.

Quantum and basic research are priority growth areas. Participants plan interoperable quantum standards, stronger institutional partnerships, and secured supply chains. Larger projects and STEM exchanges aim to widen collaboration, supported by shared roadmaps and engagement in global consortia.

Space cooperation continues across civil and exploration programmes. Strands include Artemis contributions, a Korean cubesat rideshare on Artemis II, and Commercial Lunar Payload Services. The Korea Positioning System will be developed for maximum interoperability with GPS.

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Spot the red flags of AI-enabled scams, says California DFPI

The California Department of Financial Protection & Innovation (DFPI) has warned that criminals are weaponising AI to scam consumers. Deepfakes, cloned voices, and slick messages mimic trusted people and exploit urgency. Learning the new warning signs cuts risk quickly.

Imposter deepfakes and romance ruses often begin with perfect profiles or familiar voices pushing you to pay or invest. Grandparent scams use cloned audio in fake emergencies; agree a family passphrase and verify on a separate channel. Influencers may flaunt fabricated credentials and followers.

Automated attacks now use AI to sidestep basic defences and steal passwords or card details. Reduce exposure with two-factor authentication, regular updates, and a reputable password manager. Pause before clicking unexpected links or attachments, even from known names.

Investment frauds increasingly tout vague ‘AI-powered’ returns while simulating growth and testimonials, then blocking withdrawals. Beware guarantees of no risk, artificial deadlines, unsolicited messages, and recruit-to-earn offers. Research independently and verify registrations before sending money.

DFPI advises careful verification before acting. Confirm identities through trusted channels, refuse to move money under pressure, and secure devices. Report suspicious activity promptly; smart habits remain the best defence.

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NVIDIA and Nokia join forces to build the AI platform for 6G

Nokia and NVIDIA have announced a $1 billion partnership to develop an AI-powered platform that will drive the transition from 5G to 6G networks.

The collaboration will create next-generation AI-RAN systems, combining computing, sensing and connectivity to transform how the US mobile networks process data and deliver services.

However, this partnership marks a strategic step in both companies’ ambition to regain global leadership in telecommunications.

By integrating NVIDIA’s new Aerial RAN Computer and Nokia’s AI-RAN software, operators can upgrade existing networks through software updates instead of complete infrastructure replacements.

T-Mobile US will begin field tests in 2026, supported by Dell’s PowerEdge servers.

NVIDIA’s investment and collaboration with Nokia aim to strengthen the foundation for AI-native networks that can handle the rising demand from agentic, generative and physical AI applications.

These networks are expected to support future 6G use cases, including drones, autonomous vehicles and advanced augmented reality systems.

Both companies see AI-RAN as the next evolution of wireless connectivity, uniting data processing and communication at the edge for greater performance, energy efficiency and innovation.

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IBM unveils Digital Asset Haven for secure institutional blockchain management

IBM has introduced Digital Asset Haven, a unified platform designed for banks, corporations, and governments to securely manage and scale their digital asset operations. The platform manages the full asset lifecycle from custody to settlement while maintaining compliance.

Built with Dfns, the platform combines IBM’s security framework with Dfns’ custody technology. The Dfns platform supports 15 million wallets for 250 clients, providing multi-party authorisation, policy governance, and access to over 40 blockchains.

IBM Digital Asset Haven includes tools for identity verification, crime prevention, yield generation, and developer-friendly APIs for extra services. Security features include Multi-Party Computation, HSM-based signing, and quantum-safe cryptography to ensure compliance and resilience.

According to IBM’s Tom McPherson, the platform gives clients ‘the opportunity to enter and expand into the digital asset space backed by IBM’s level of security and reliability.’ Dfns CEO Clarisse Hagège said the partnership builds infrastructure to scale digital assets from pilots to global use.

IBM plans to roll out Digital Asset Haven via SaaS and hybrid models in late 2025, with on-premises deployment expected in 2026.

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FDA and patent law create dual hurdles for AI-enabled medical technologies

AI reshapes healthcare by powering more precise and adaptive medical devices and diagnostic systems.

Yet, innovators face two significant challenges: navigating the US Food and Drug Administration’s evolving regulatory framework and overcoming legal uncertainty under US patent law.

These two systems, although interconnected, serve different goals. The FDA protects patients, while patent law rewards invention.

The FDA’s latest guidance seeks to adapt oversight for AI-enabled medical technologies that change over time. Its framework for predetermined change control plans allows developers to update AI models without resubmitting complete applications, provided updates stay within approved limits.

An approach that promotes innovation while maintaining transparency, bias control and post-market safety. By clarifying how adaptive AI devices can evolve safely, the FDA aims to balance accountability with progress.

Patent protection remains more complex. US courts continue to exclude non-human inventors, creating tension when AI contributes to discoveries.

Legal precedents such as Thaler vs Vidal and Alice Corp. vs CLS Bank limit patent eligibility for algorithms or diagnostic methods that resemble abstract ideas or natural laws. Companies must show human-led innovation and technical improvement beyond routine computation to secure patents.

Aligning regulatory and intellectual property strategies is now essential. Developers who engage regulators early, design flexible change control plans and coordinate patent claims with development timelines can reduce risk and accelerate market entry.

Integrating these processes helps ensure AI technologies in healthcare advance safely while preserving inventors’ rights and innovation incentives.

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AMD powers US AI factory supercomputers for national research

The US Department of Energy and AMD are joining forces to expand America’s AI and scientific computing power through two new supercomputers at Oak Ridge National Laboratory.

Named Lux and Discovery, the systems will drive the country’s sovereign AI strategy, combining public and private investment worth around $1 billion to strengthen research, innovation, and security infrastructure.

Lux, arriving in 2026, will become the nation’s first dedicated AI factory for science.

Built with AMD’s EPYC CPUs and Instinct GPUs alongside Oracle and HPE technologies, Lux will accelerate research across materials, medicine, and advanced manufacturing, supporting the US AI Action Plan and boosting the Department of Energy’s AI capacity.

Discovery, set for deployment in 2028, will deepen collaboration between the DOE, AMD, and HPE. Powered by AMD’s next-generation ‘Venice’ CPUs and MI430X GPUs, Discovery will train and deploy AI models on secure US-built systems, protecting national data and competitiveness.

It aims to deliver faster energy, biology, and national security breakthroughs while maintaining high efficiency and open standards.

AMD’s CEO, Dr Lisa Su, said the collaboration represents the best public-private partnerships, advancing the nation’s foundation for science and innovation.

US Energy Secretary Chris Wright described the initiative as proof that America leads when government and industry work together toward shared AI and scientific goals.

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Virginia’s data centre boom divides residents and industry

Loudoun County in Virginia, known as Data Center Alley, now hosts nearly 200 data centres powering much of the world’s internet and AI infrastructure. Their growth has brought vast economic benefits but stirred concerns about noise, pollution, and rising energy bills for nearby residents.

The facilities occupy about 3% of the county’s land yet generate 40% of its tax revenue. Locals say the constant humming and industrial sprawl have driven away wildlife and inflated electricity costs, which have surged by over 250% in five years.

Despite opposition, new US and global data centre projects continue to receive state support. The industry contributes $5.5 billion annually to Virginia’s economy and sustains around 74,000 jobs. Additionally, President Trump’s administration recently pledged to accelerate permits.

Residents like Emily Kasabian argue the expansion is eroding community life, replacing trees with concrete and machinery to fuel AI. Activists are now lobbying for construction pauses, warning that unchecked development threatens to transform affluent suburbs beyond recognition.

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Qualcomm and HUMAIN power Saudi Arabia’s AI transformation

HUMAIN and Qualcomm Technologies have launched a collaboration to deploy advanced AI infrastructure in Saudi Arabia, aiming to position the Kingdom as a global hub for AI.

Announced ahead of the Future Investment Initiative conference, the project will deliver the world’s first fully optimised edge-to-cloud AI system, expanding Saudi Arabia’s regional and global inferencing services capabilities.

In 2026, HUMAIN plans to deploy 200 megawatts of Qualcomm’s AI200 and AI250 rack solutions to power large-scale AI inference services.

The partnership combines HUMAIN’s regional infrastructure and full AI stack with Qualcomm’s semiconductor expertise, creating a model for nations seeking to develop sovereign AI ecosystems.

However, the initiative will also integrate HUMAIN’s Saudi-developed ALLaM models with Qualcomm’s AI platforms, offering enterprise and government customers tailor-made solutions for industry-specific needs.

The collaboration supports Saudi Arabia’s strategy to drive economic growth through AI and semiconductor innovation, reinforcing its ambition to lead the next wave of global intelligent computing.

Qualcomm’s CEO Cristiano Amon said the partnership would help the Kingdom build a technology ecosystem to accelerate its AI ambitions.

HUMAIN CEO Tareq Amin added that combining local insight with Qualcomm’s product leadership will establish Saudi Arabia as a key player in global AI and semiconductor development.

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UN cybercrime treaty signed in Hanoi amid rights concerns

Around 60 countries signed a landmark UN cybercrime convention in Hanoi, seeking faster cooperation against online crime. Leaders cited trillions in annual losses from scams, ransomware, and trafficking. The pact enters into force after 40 ratifications.

UN supporters say the treaty will streamline evidence sharing, extradition requests, and joint investigations. Provisions target phishing, ransomware, online exploitation, and hate speech. Backers frame the deal as a boost to global security.

Critics warn the text’s breadth could criminalise security research and dissent. The Cybersecurity Tech Accord called it a surveillance treaty. Activists fear expansive data sharing with weak safeguards.

The UNODC argues the agreement includes rights protections and space for legitimate research. Officials say oversight and due process remain essential. Implementation choices will decide outcomes on the ground.

The EU, Canada, and Russia signed in Hanoi, underscoring geopolitical buy-in. Vietnam, being the host, drew scrutiny over censorship and arrests. Officials there cast the treaty as a step toward resilience and stature.

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