AMD has completed the acquisition of MK1, a California-based company specialising in high-speed inference and reasoning-based AI technologies.
The move marks a significant step in AMD’s strategy to strengthen AI performance and efficiency across hardware and software layers. MK1’s Flywheel and comprehension engines are designed to optimise AMD’s Instinct GPUs, offering scalable, accurate, and cost-efficient AI reasoning.
The MK1 team will join the AMD Artificial Intelligence Group, where their expertise will advance AMD’s enterprise AI software stack and inference capabilities.
Handling over one trillion tokens daily, MK1’s systems are already deployed at scale, providing traceable and efficient AI solutions for complex business processes.
By combining MK1’s advanced AI software innovation with AMD’s compute power, the acquisition enhances AMD’s position in the enterprise and generative AI markets, supporting its goal of delivering accessible, high-performance AI solutions globally.
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A Munich regional court has ruled that OpenAI infringed copyright in a landmark case brought by the German rights society GEMA. The court held OpenAI liable for reproducing and memorising copyrighted lyrics without authorisation, rejecting its claim to operate as a non-profit research institute.
The judgement found that OpenAI had violated copyright even in a 15-word passage, setting a low threshold for infringement. Additionally, the court dismissed arguments about accidental reproduction and technical errors, emphasising that both reproduction and memorisation require a licence.
It also denied OpenAI’s request for a grace period to make compliance changes, citing negligence.
Judges concluded that the company could not rely on proportionality defences, noting that licences were available and alternative AI models exist.
OpenAI’s claim that EU copyright law failed to foresee large language models was rejected, as the court reaffirmed that European law ensures a high level of protection for intellectual property.
The ruling marks a significant step for copyright enforcement in the age of generative AI and could shape future litigation across Europe. It also challenges technology companies to adapt their training and licensing practices to comply with existing legal frameworks.
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The UK government is introducing landmark legislation to prevent AI from being exploited to generate child sexual abuse material. The new law empowers authorised bodies, such as the Internet Watch Foundation, to test AI models and ensure safeguards prevent misuse.
Reports of AI-generated child abuse imagery have surged, with the IWF recording 426 cases in 2025, more than double the 199 cases reported in 2024. The data also reveals a sharp rise in images depicting infants, increasing from five in 2024 to 92 in 2025.
Officials say the measures will enable experts to identify vulnerabilities within AI systems, making it more difficult for offenders to exploit the technology.
The legislation will also require AI developers to build protections against non-consensual intimate images and extreme content. A group of experts in AI and child safety will be established to oversee secure testing and ensure the well-being of researchers.
Ministers emphasised that child safety must be built into AI systems from the start, not added as an afterthought.
By collaborating with the AI sector and child protection groups, the government aims to make the UK the safest place for children to be online. The approach strikes a balance between innovation and strong protections, thereby reinforcing public trust in AI.
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Judges and justice officials from 11 countries across Asia are gathering in Bangkok for a regional training focused on AI and the rule of law. The event, held from 12 November to 14, 2025, is jointly organised by UNESCO, UNDP, and the Thailand Institute of Justice.
Participants will examine how AI can enhance judicial efficiency while upholding human rights and ethical standards.
The training, based on UNESCO’s Global Toolkit on AI and the Rule of Law for the Justice Sector, will help participants assess both the benefits and challenges of AI in judicial processes. Officials will address algorithmic bias, transparency, and accountability to ensure AI tools uphold justice.
AI technologies are already transforming case management, legal research, and court administration. However, experts warn that unchecked use may amplify bias or weaken judicial independence.
The workshop aims to strengthen regional cooperation and train officials to assess AI systems using legal and ethical principles. The initiative supports UN SDG 16 and advances UNESCO’s mission to promote moral, inclusive, and trustworthy governance of AI.
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Canada and Denmark have signed a joint statement to deepen collaboration in quantum research and innovation.
The agreement, announced at the European Quantum Technologies Conference 2025 in Copenhagen, reflects both countries’ commitment to advancing quantum science responsibly while promoting shared values of openness, ethics and excellence.
Under the partnership, the two nations will enhance research and development ties, encourage open data sharing, and cultivate a skilled talent pipeline. They also aim to boost global competitiveness in quantum technologies, fostering new opportunities for market expansion and secure supply chains.
Canadian Minister Mélanie Joly highlighted that the cooperation showcases a shared ambition to accelerate progress in health care, clean energy and defence.
Denmark’s Minister for Higher Education and Science, Christina Egelund, described Canada as a vital partner in scientific innovation. At the same time, Minister Evan Solomon stressed the agreement’s role in empowering researchers to deliver breakthroughs that shape the future of quantum technologies.
Both Canada and Denmark are recognised as global leaders in quantum science, working together through initiatives such as the NATO Transatlantic Quantum Community.
A partnership that supports Canada’s National Quantum Strategy, launched in 2023, and reinforces its shared goal of driving innovation for sustainable growth and collective security.
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Finland will introduce stricter reporting obligations for crypto asset service providers from 2026 as part of international efforts to enhance tax transparency.
The move aligns with the OECD’s Crypto Asset Reporting Framework (CARF), which aims to standardise the exchange of crypto-related tax information globally. More than 70 countries and jurisdictions have already committed to the framework.
Finnish and foreign crypto providers must collect and report users’ transaction data, including purchases, sales, and transfers. The Finnish Tax Administration will begin receiving annual reports in 2027, enabling cross-border exchange under the CARF and the amended EU DAC8 directive.
The government proposal, due for parliamentary debate in autumn 2025, would extend Finland’s reporting requirements beyond international standards. Providers must also supply data allowing authorities to calculate capital gains and losses for Finnish residents and estates.
The Tax Administration will review and update its guidance on financial account reporting to align with these changes.
Despite the increased flow of information, individuals trading crypto assets will still need to declare profits, losses, and related income in their annual tax returns. The first international exchange of crypto asset data is expected to take place by September 2027.
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In a recent statement, the UN highlighted the growing field of neuro-technology, which encompasses devices and software that can measure, access, or manipulate the nervous system, as posing new risks to human rights.
The UN highlighted how such technologies could challenge fundamental concepts like ‘mental integrity’, autonomy and personal identity by enabling unprecedented access to brain data.
It warned that without robust regulation, the benefits of neuro-technology may come with costs such as privacy violations, unequal access and intrusive commercial uses.
The concerns align with broader debates about how advanced technologies, such as AI, are reshaping society, ethics, and international governance.
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Nvidia CEO Jensen Huang said China is ‘nanoseconds’ behind the US in AI and urged Washington to lead by accelerating innovation and courting developers globally. He argued that excluding China would weaken the reach of US technology and risk splintering the ecosystem into incompatible stacks.
Huang’s remarks came amid ongoing export controls that bar Nvidia’s most advanced processors from the Chinese market. He acknowledged national security concerns but cautioned that strict limits can slow the spread of American tools that underpin AI research, deployment, and scaling.
Hardware remains central, Huang said, citing advanced accelerators and data-centre capacity as the substrate for training frontier models. Yet diffusion matters: widespread adoption of US platforms by global developers amplifies influence, reduces fragmentation, and accelerates innovation.
With sales of top-end chips restricted, Huang warned that Chinese firms will continue to innovate on domestic alternatives, increasing the likelihood of parallel systems. He called for policies that enable US leadership while preserving channels to the developer community in China.
Huang framed the objective as keeping America ahead, maintaining the world’s reliance on an American tech stack, and avoiding strategies that would push away half the world’s AI talent.
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In a move that signals a significant shift in global AI strategy, companies such as OpenAI, Google and Perplexity AI are partnering with Indian telecoms and service providers to offer premium AI tools, for example, advanced chatbot access and large-model features, free for millions of users in India.
The offers are not merely promotional but part of a long-term play to dominate the AI ecosystem.
Market analysts quoted by the BBC note that the objective is to ‘get Indians hooked on to generative AI before asking them to pay for it’. The size of India’s digital ecosystem, with its young, mobile-first population and relatively less restrictive regulation, makes it a key battleground for AI firms aiming for global scale.
However, there are risks: free access may raise concerns around privacy and data protection, algorithmic control and whether users are fully informed about how their data is used and when free offers will convert into paid services.
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Salesforce has signed a definitive agreement to acquire Spindle AI, a company specialising in agentic analytics and machine learning. The deal aims to strengthen Salesforce’s Agentforce platform by integrating Spindle’s advanced data modelling and forecasting technologies.
Spindle AI has developed neuro-symbolic AI agents capable of autonomously generating and optimising scenario models. Its analytics tools enable businesses to simulate and assess complex decisions, from pricing strategies to go-to-market plans, using AI-driven insights.
Salesforce said the acquisition will enhance its focus on Agent Observability and Self-Improvement within Agentforce 360. Executives described Spindle AI’s expertise as critical to building more transparent and reliable agentic systems capable of explaining and refining their own reasoning.
The acquisition, subject to customary closing conditions, is expected to be completed in Salesforce’s fourth fiscal quarter of 2026. Once finalised, Spindle AI will join Agentforce to expand AI-powered analytics, continuous optimisation, and ROI forecasting for enterprise customers worldwide.
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