Can AI replace therapists?

With mental health waitlists at record highs and many struggling to access affordable therapy, some are turning to AI chatbots for support.

Kelly, who waited months for NHS therapy, found solace in character.ai bots, describing them as always available, judgment-free companions. ‘It was like a cheerleader,’ she says, noting how bots helped her cope with anxiety and heartbreak.

But despite emotional benefits for some, AI chatbots are not without serious risks. Character.ai is facing a lawsuit from the mother of a 14-year-old who died by suicide after reportedly forming a harmful relationship with an AI character.

Other bots, like one from the National Eating Disorder Association, were shut down after giving dangerous advice.

Even so, demand is high. In April 2024 alone, 426,000 mental health referrals were made in England, and over a million people are still waiting for care. Apps like Wysa, used by 30 NHS services, aim to fill the gap by offering CBT-based self-help tools and crisis support.

Experts warn, however, that chatbots lack context, emotional intuition, and safeguarding. Professor Hamed Haddadi calls them ‘inexperienced therapists’ that may agree too easily or misunderstand users.

Ethicists like Dr Paula Boddington point to bias and cultural gaps in the AI training data. And privacy is a looming concern: ‘You’re not entirely sure how your data is being used,’ says psychologist Ian MacRae.

Still, users like Nicholas, who lives with autism and depression, say AI has helped when no one else was available. ‘It was so empathetic,’ he recalls, describing how Wysa comforted him during a night of crisis.

A Dartmouth study found AI users saw a 51% drop in depressive symptoms, but even its authors stress bots can’t replace human therapists. Most experts agree AI tools may serve as temporary relief or early intervention—but not as long-term substitutes.

As John, another user, puts it: ‘It’s a stopgap. When nothing else is there, you clutch at straws.’

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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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Half of Japan’s municipalities adopt or plan generative AI use

Nearly 30% of local governments in Japan had introduced generative AI into their operations by December 2023, according to a government survey.

When including those planning or seriously considering its use, that figure rises to 50.8%, marking a 10-point increase from the previous year.

The Ministry of Internal Affairs and Communications surveyed 1,721 municipalities. Common use cases included drafting speeches and summarising meeting minutes. However, 21.5% of municipalities said they had no plans to use the technology.

Concerns remain over the lack of usage guidelines, with around 1,000 municipalities still developing policies. Experts warn of risks like biased outputs and mismanagement.

The ministry of Japan plans to issue a report this summer to help shape best practices for generative AI use in local governance.

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Met Office and Microsoft debut AI-ready forecasting system

The UK’s Met Office has launched a new supercomputer designed to significantly improve weather and climate forecasting accuracy. Operated via Microsoft’s Azure cloud platform, it is the world’s first cloud-based supercomputer dedicated solely to weather and climate science.

Capable of performing 60 quadrillion calculations per second—more than four times faster than its predecessor—the system is expected to enhance 14-day forecasts, improve rainfall predictions, and offer better data for sectors like aviation and energy.

The infrastructure, split across two data centres in southern England, runs entirely on renewable energy. Originally announced in 2020 with a £1.2 billion UK government investment, the project faced delays due to COVID-19 and global supply chain disruptions.

Despite recent cyberattacks on UK institutions, Met Office officials say the new system has robust security and represents a major technological upgrade.

The Met Office also says the new system will support AI integration and provide better insights into climate change-related events, such as floods and wildfires.

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Google releases NotebookLM app early

Google has launched its AI-powered research assistant, NotebookLM, on Android and iOS a day earlier than expected and just ahead of its annual I/O developer conference.

Until now, the service was only available on desktop, but users can now access its full features while on the move.

NotebookLM helps users understand complex content by offering intelligent summaries and allowing them to ask questions directly about their documents.

A standout feature, Audio Overviews, creates AI-generated podcast-style summaries from uploaded materials and supports offline listening and background playback.

Mobile users can now create and manage notebooks directly from their devices. Instead of limiting content sources, the app enables users to add websites, PDFs, or YouTube videos by simply tapping the share icon and selecting NotebookLM.

It also offers easy access to previously added sources and adapts its appearance to match the device’s light or dark mode settings.

With the release timed just before Google’s keynote, it’s likely the company will highlight NotebookLM’s capabilities further during the I/O 2025 presentation.

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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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AI at 45W: Neuchips showcases energy-saving chips for LLMs

As global energy demand surges alongside AI growth, Neuchips is stepping up with energy-efficient solutions that deliver high performance while reducing power consumption.

The company will showcase its latest innovations at COMPUTEX 2025, including its Viper series AI accelerator cards, capable of running a 14-billion parameter model at just 45 watts — roughly the same power as a standard light bulb.

The announcement follows an International Energy Agency (IEA) report projecting that electricity demand from AI-powered data centers will more than quadruple by 2030. Neuchips CEO Ken Lau emphasised that power-efficient AI is now a necessity, not a luxury.

Neuchips’ hardware supports models like Mistral Small 3, Llama 3.3, and Gemma 3, offering offline LLM inference that enhances data privacy. Its solutions are compatible with both Intel and AMD CPUs, and run on Ubuntu and Windows.

The company is expanding its reach through several key partnerships. With Taiwan’s National Center for High-performance Computing (NCHC), Neuchips is delivering energy-efficient AI to the cloud while ensuring data security and cost efficiency.

Collaborating with MAPLE LEAF INFORMATION AND TECHNOLOGY and Vecow, the company offers compact AI systems that operate without requiring additional power infrastructure.

In partnership with GSH’s ShareGuru SQLPilot, Neuchips is showcasing advanced agentic AI applications for business intelligence and customer service. Additionally, through integration with myLLM’s myPDA platform, Neuchips is enabling hybrid cloud-edge AI deployments using its hardware.

With its efficient AI acceleration chips and strategic collaborations, Neuchips is advancing sustainable AI across edge and data center environments.

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UAE’s EDGE Group unveils AI Accelerator to power defence and tech

EDGE Group, a global leader in advanced technology and defence, has launched the Group AI Accelerator, a new Centre of Excellence (COE) focused on accelerating AI-driven innovation across its portfolio and facilities.

The initiative is part of EDGE’s broader strategy to support the UAE’s ambitions of becoming a high-tech global hub.

The Group AI Accelerator will develop and integrate AI projects to enhance core engineering capabilities and business services. It will also incubate UAE talent and advance the country’s knowledge-based economy.

Dr. Chaouki Kasmi, EDGE’s President of Technology & Innovation, said the initiative will ‘enable the prompt adoption of AI technologies’ and foster ‘positive disruption’ across key programmes.

Overseen by EDGE’s Technology & Innovation Cluster, the COE will be guided by a steering committee of local and global experts. Engineering and business excellence working groups will lead AI skunkworks projects, R&D in machine learning, and digital transformation efforts.

EDGE’s latest move builds on its commitment to operational excellence and positions the UAE at the forefront of AI and Industry 4.0 development.

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Integrity concerns prompt MIT to reject AI innovation study

MIT has called for the withdrawal of a high-profile research paper examining the effects of AI on scientific discovery and innovation, citing concerns over data integrity and validity.

The paper, titled Artificial Intelligence, Scientific Discovery, and Product Innovation, was authored by a now-former doctoral student and claimed AI tools boosted discoveries and patents but reduced researcher satisfaction.

Though praised by renowned economists Daron Acemoglu and David Autor upon its release, both now say they have ‘no confidence’ in the data or findings. Their reversal follows concerns raised by an external computer scientist, prompting an internal MIT review.

While MIT has not disclosed full details due to student privacy laws, it confirmed the author is no longer affiliated with the university. The school is requesting the paper’s withdrawal from The Quarterly Journal of Economics and preprint server arXiv, although the author has yet to initiate removal.

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OpenAI, G42 plan world’s largest AI data facility

OpenAI is reportedly set to become the anchor tenant in a 5-gigawatt data centre project in Abu Dhabi, part of what could become one of the largest AI infrastructure builds globally, according to Bloomberg.

The facility, spanning approximately 10 square miles, is being developed by UAE-based tech firm G42 as part of OpenAI’s broader Stargate initiative, a joint venture announced with SoftBank and Oracle to establish high-capacity AI data centres worldwide.

While OpenAI’s first Stargate facility in Texas is projected to reach 1.2 gigawatts, the Abu Dhabi project would more than quadruple that. The planned scale would consume power equivalent to five nuclear reactors.

OpenAI and G42 have collaborated since 2023 to accelerate AI adoption in the Middle East. The partnership has sparked concerns among US officials, particularly around G42’s past ties to Chinese firms, including Huawei and BGI.

G42 has since pledged to divest from China and shift its focus. In early 2024, Microsoft invested $1.5 billion in G42, and company president Brad Smith joined its board, reinforcing US–UAE tech ties. An official statement from OpenAI on the project is still pending.

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