AI microscope detects live blood clot activity

Researchers at the University of Tokyo have developed an AI-powered microscope that can observe blood clot formation in real time.

By capturing thousands of images per second, the tool analyses how platelets behave and clump together, offering a non-invasive way to assess clot risk in patients with coronary artery disease.

Unlike current methods that rely on indirect markers or invasive procedures, the AI tool provides live visual data using a simple blood draw from the arm. The results closely matched samples taken directly from the arteries, making the approach both safer and more accessible.

Japanese doctors could soon use this technology to evaluate how well blood-thinning drugs are working on an individual basis. While still in the research phase, experts believe it may eventually transform point-of-care decision-making for heart patients.

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OpenAI launches advanced coding assistant Codex

OpenAI has launched Codex, a new AI coding agent designed to streamline software development by automating routine tasks and improving code reliability.

Built on a version of its o3 model known as codex-1, the agent uses reinforcement learning to generate high-quality code and test it before output.

Codex operates in a secure, cloud-based sandbox that mirrors a user’s environment and integrates with GitHub for real-time access to repositories.

It logs every step, provides test results, and supports customisation through AGENTS.md files, allowing developers to guide the AI.

Currently available to ChatGPT Pro, Enterprise, and Team subscribers, Codex is being piloted by major firms like Cisco, Superhuman, and Kodiak.

OpenAI plans wider access and future upgrades for more complex, asynchronous collaboration, though limitations like lack of image input support remain.

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Taiwan boosts AI power with Nvidia supercomputer

Nvidia and Foxconn have announced plans to build a major AI factory supercomputer in Taiwan, backed by the Taiwanese government.

The facility, powered by 10,000 of Nvidia’s Blackwell GPUs, will be delivered through Foxconn’s Big Innovation Company and will support researchers, start-ups, and industry.

Taiwan’s National Science and Technology Council will use the platform to provide real-time AI cloud computing resources across its tech ecosystem. TSMC researchers also plan to utilise the infrastructure to drive innovation in semiconductor development.

The announcement highlights Nvidia’s growing ties with Taiwanese companies and reflects the strategic importance of AI to Taiwan’s technological ambitions. Leaders from Nvidia, Foxconn, and TSMC described the project as a step towards creating a smarter, AI-enabled island economy.

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Lords reject UK AI copyright bill again

The UK government has suffered a second defeat in the House of Lords over its Data (Use and Access) Bill, as peers once again backed a copyright-focused amendment aimed at protecting artists from AI content scraping.

Baroness Kidron, a filmmaker and digital rights advocate, led the charge, accusing ministers of listening to the ‘sweet whisperings of Silicon Valley’ and allowing tech firms to ‘redefine theft’ by exploiting copyrighted material without permission.

Her amendment would force AI companies to disclose their training data sources and obtain consent from rights holders.

The government had previously rejected this amendment, arguing it would lead to ‘piecemeal’ legislation and pre-empt ongoing consultations.

But Kidron’s position was strongly supported across party lines, with peers calling the current AI practices ‘burglary’ and warning of catastrophic damage to the UK’s creative sector.

High-profile artists like Sir Elton John, Paul McCartney, Annie Lennox, and Kate Bush have condemned the government’s stance, with Sir Elton branding ministers ‘losers’ and accusing them of enabling theft.

Peers from Labour, the Lib Dems, the Conservatives, and the crossbenches united to defend UK copyright law, calling the government’s actions a betrayal of the country’s leadership in intellectual property rights.

Labour’s Lord Brennan warned against a ‘double standard’ for AI firms, while Lord Berkeley insisted immediate action was needed to prevent long-term harm.

Technology Minister Baroness Jones countered that no country has resolved the AI-copyright dilemma and warned that the amendment would only create more regulatory confusion.

Nonetheless, peers voted overwhelmingly in favour of Kidron’s proposal—287 to 118—sending the bill back to the Commons with a strengthened demand for transparency and copyright safeguards.

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Uber is ready for driverless taxis in the UK

Uber says it is fully prepared to launch driverless taxis in the UK, but the government has pushed back its timeline for approving fully autonomous vehicles.

The previous 2026 target has been shifted to the second half of 2027, despite rapid developments in self-driving technology already being trialled on British roads.

Currently, limited self-driving systems are legal so long as a human remains behind the wheel and responsible for the car.

Uber, which already runs robotaxis in the US and parts of Asia, is working with 18 tech firms—including UK-based Wayve—to expand the service. Wayve’s AI-driven vehicles were recently tested in central London, managing traffic, pedestrians and roadworks with no driver intervention.

Uber’s Andrew Macdonald said the technology is ready now, but regulatory support is still catching up. The government insists legislation will come in 2027 and is exploring short-term trials in the meantime.

Macdonald acknowledged safety concerns, noting incidents abroad, but argued autonomous vehicles could eventually prove safer than human drivers, based on early US data.

Beyond technology, the shift raises big questions around insurance, liability and jobs. The government sees a £42 billion industry with tens of thousands of new roles, but unions warn of social impacts for professional drivers.

Still, Uber sees a future where fewer people even bother to learn how to drive, because AI will do it for them.

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Elton John threatens legal fight over AI use

Sir Elton John has lashed out at the UK government over plans that could allow AI companies to use copyrighted content without paying artists, calling ministers ‘absolute losers’ and accusing them of ‘thievery on a high scale.’

He warned that younger musicians, without the means to challenge tech giants, would be most at risk if the proposed changes go ahead.

The row centres on a rejected House of Lords amendment to the Data Bill, which would have required AI firms to disclose what material they use.

Despite a strong majority in favour in the Lords, the Commons blocked the move, meaning the bill will keep bouncing between the two chambers until a compromise is reached.

Sir Elton, joined by playwright James Graham, said the government was failing to defend creators and seemed more interested in appeasing powerful tech firms.

More than 400 artists, including Sir Paul McCartney, have signed a letter urging Prime Minister Sir Keir Starmer to strengthen copyright protections instead of allowing AI to mine their work unchecked.

While the government insists no changes will be made unless they benefit creators, critics say the current approach risks sacrificing the UK’s music industry for Silicon Valley’s gain.

Sir Elton has threatened legal action if the plans go ahead, saying, ‘We’ll fight it all the way.’

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UK workers struggle to keep up with AI

AI is reshaping the UK workplace, but many employees feel unprepared to keep pace, according to a major new study by Henley Business School.

While 56% of full-time professionals expressed optimism about AI’s potential, 61% admitted they were overwhelmed by how quickly the technology is evolving.

The research surveyed over 4,500 people across nearly 30 sectors, offering what experts call a clear snapshot of AI’s uneven integration into British industries.

Professor Keiichi Nakata, director of AI at The World of Work Institute, said workers are willing to embrace AI, but often lack the training and guidance to do so effectively.

Instead of empowering staff through hands-on learning and clear internal policies, many companies are leaving their workforce under-supported.

Nearly a quarter of respondents said their employers were failing to provide sufficient help, while three in five said they would use AI more if proper training were available.

Professor Nakata argued that AI has the power to simplify tasks, remove repetitive duties, and free up time for more meaningful work.

But he warned that without better support, businesses risk missing out on what could be a transformative force for both productivity and employee satisfaction.

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AlphaEvolve by DeepMind automates code optimisation and discovers new algorithms

Google’s DeepMind has introduced AlphaEvolve, a new AI-powered coding agent designed to autonomously discover and optimise computer algorithms.

Built on large language models and evolutionary techniques, AlphaEvolve aims to assist experts across mathematics, engineering, and computer science by improving existing solutions and generating new ones.

Unlike natural language-based models, AlphaEvolve uses automated evaluators and iterative evolution strategies—like mutation and crossover—to refine algorithmic solutions.

DeepMind reports success across several domains, including matrix multiplication, data centre scheduling, chip design, and AI model training.

In one case, AlphaEvolve developed a new method for multiplying 4×4 complex matrices using just 48 scalar multiplications, surpassing a longstanding result from 1969. It also improved job scheduling in Google data centres, recovering an average of 0.7% of global compute resources.

In mathematical tests, AlphaEvolve rediscovered known solutions 75% of the time and improved them in 20% of cases. While experts have praised its potential, researchers also stress the importance of secure deployment and responsible use.

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Canva merges data and storytelling

Canva has introduced Sheets, a new spreadsheet platform combining data, design, and AI to simplify and visualise analytics. Announced at the Canva Create: Uncharted event, it redefines spreadsheets by enabling users to turn raw data into charts, reports and content without leaving the Canva interface.

Built-in tools like Magic Formulas, Magic Insights, and Magic Charts, Canva Sheets supports automated analysis and visual storytelling. Users can generate dynamic charts and branded content across platforms in seconds, thanks to Canva AI and features like bulk editing and multilingual translation.

Data Connectors allow seamless integration with platforms such as Google Analytics and HubSpot, ensuring live updates across all connected visuals. The platform is designed to reduce manual tasks in recurring reports and keep teams synchronised in real time.

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Lawyers sanctioned after AI-generated cases found false

A federal judge in California has sanctioned two law firms for submitting a legal brief containing fake citations generated by AI tools. Judge Michael Wilner described the AI-generated references as ‘bogus’ and fined the firms $31,000, criticising them for failing to properly check the sources.

The legal document in question was based on an outline created with Google Gemini and AI tools within Westlaw.

However, this draft was handed off to another firm, K&L Gates, which included the fabricated citations without verifying their authenticity.Judge Wilner noted that at least two cases referenced in the filing did not exist at all.

He warned that undisclosed reliance on AI could mislead US courts and compromise legal integrity. This case adds to a growing list of incidents where lawyers misused AI, mistakenly treating chatbots as legitimate research tools.

The judge called the actions professionally reckless and said no competent attorney should outsource research to AI without careful oversight.

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