Digital standards

Google brings sign language translation to AI

Google has introduced Gemma 3n, an advanced AI model that can operate directly on mobile devices, laptops, and tablets without relying on the cloud. The company also revealed MedGemma, its most powerful open AI model for analysing medical images and text.

The model supports processing audio, text, images, and video, and is built to perform well even on devices with less than 2GB of RAM. It shares its architecture with Gemini Nano and is now available in preview.

MedGemma is part of Google’s Health AI Developer Foundations programme and is designed to help developers create custom health-focused applications. It promises wide-ranging usability in multimodal healthcare tasks.

Another model, SignGemma, was announced to aid in translating sign language into spoken text. Despite concerns over Gemma’s licensing, the models continue to see widespread adoption.

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Microsoft adds quantum-resistant encryption to Windows 11

Microsoft is rolling out quantum-resistant encryption algorithms in Windows 11 as part of its effort to prepare for the eventual arrival of quantum computers. The new cryptographic tools were announced at the BUILD 2025 conference and are now available in Insider Preview Build 27852 and higher.

These updates introduce post-quantum algorithms—ML-KEM and ML-DSA—into SymCrypt, Windows’ core cryptographic library.

The algorithms, formerly known as CRYSTALS-Kyber and CRYSTALS-Dilithium, were selected by the US National Institute of Standards and Technology (NIST) and are part of the agency’s recommended post-quantum cryptography (PQC) standards.

The algorithms have also been added to SymCrypt-OpenSSL, Microsoft’s open-source extension for integrating SymCrypt with OpenSSL. Developers can now access the algorithms via Microsoft’s Cryptography API: Next Generation (CNG), enabling early testing and migration.

Quantum computers, which are still in experimental stages, promise to outperform classical systems in solving problems like factoring large numbers—a cornerstone of traditional encryption methods like RSA and elliptic curve cryptography.

Experts warn that these legacy systems could be broken in the coming decades, potentially compromising the security of global communications, financial systems, and data infrastructure.

The new PQC algorithms are designed to resist quantum attacks, but they bring additional complexity. Their encryption keys are significantly larger than those used in current standards.

For now, NIST recommends using them alongside RSA or elliptic curve keys in hybrid configurations, to mitigate risks from undiscovered vulnerabilities.

The transition to quantum-safe encryption is expected to be one of the most complex in cybersecurity history. Developers will need to address compatibility issues, including ensuring software can handle longer key lengths without introducing system-breaking errors.

Microsoft’s early adoption is a step toward broader post-quantum readiness. Experts emphasize the importance of rigorous testing now, as the timeline for quantum threats remains uncertain.

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Microsoft and GitHub back Anthropic’s MCP

Microsoft and GitHub are officially joining the steering committee for MCP, a growing standard developed by Anthropic that connects AI models with data systems.

The announcement came during Microsoft’s Build 2025 event, highlighting a new phase of industry-wide backing for the protocol, which already has support from OpenAI and Google.

MCP allows developers to link AI systems with apps, business tools, and software environments using MCP servers and clients. Instead of AI models working in isolation, they can interact directly with sources like content repositories or app features to complete tasks and power tools like chatbots.

Microsoft plans to integrate MCP into its core platforms, including Azure and Windows 11. Soon, developers will be able to expose app functionalities, such as file access or Linux subsystems, as MCP servers, enabling AI models to use them securely.

GitHub and Microsoft are also contributing updates to the MCP standard itself, including a registry for server discovery and a new authorisation system to manage secure connections.

The broader goal is to let developers build smarter AI-powered applications by making it easier to plug into real-world data and tools, while maintaining strong control over access and privacy.

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UK research body hit by 5 million cyber attacks

UK Research and Innovation (UKRI), the country’s national funding body for science and research, has reported a staggering 5.4 million cyber attacks this year — a sixfold increase compared to the previous year.

According to data obtained through freedom of information requests, the majority of these threats were phishing attempts, with 236,400 designed to trick employees into revealing sensitive data. A further 11,200 were malware-based attacks, while the rest were identified as spam or malicious emails.

The scale of these incidents highlights the growing threat faced by both public and private sector institutions. Experts believe the rise of AI has enabled cybercriminals to launch more frequent and sophisticated attacks.

Rick Boyce, chief for technology at AND Digital, warned that the emergence of AI has introduced threats ‘at a pace we’ve never seen before’, calling for a move beyond traditional defences to stay ahead of evolving risks.

UKRI, which is sponsored by the Department for Science, Innovation and Technology, manages an annual budget of £8 billion, much of it invested in cutting-edge research.

A budget like this makes it an attractive target for cybercriminals and state-sponsored actors alike, particularly those looking to steal intellectual property or sabotage infrastructure. Security experts suggest the scale and nature of the attacks point to involvement from hostile nation states, with Russia a likely culprit.

Though UKRI cautioned that differing reporting periods may affect the accuracy of year-on-year comparisons, there is little doubt about the severity of the threat.

The UK’s National Cyber Security Centre (NCSC) has previously warned of Russia’s Unit 29155 targeting British government bodies and infrastructure for espionage and disruption.

With other notorious groups such as Fancy Bear and Sandworm also active, the cybersecurity landscape is becoming increasingly fraught.

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Jersey artists push back against AI art

A Jersey illustrator has spoken out against the growing use of AI-generated images, calling the trend ‘heartbreaking’ for artists who fear losing their livelihoods to technology.

Abi Overland, known for her intricate hand-drawn illustrations, said it was deeply concerning to see AI-created visuals being shared online without acknowledging their impact on human creators.

She warned that AI systems often rely on artists’ existing work for training, raising serious questions about copyright and fairness.

Overland stressed that these images are not simply a product of new tools but of years of human experience and emotion, something AI cannot replicate. She believes the increasing normalisation of AI content is dangerous and could discourage aspiring artists from entering the field.

Fellow Jersey illustrator Jamie Willow echoed the concern, saying many local companies are already replacing human work with AI outputs, undermining the value of art created with genuine emotional connection and moral integrity.

However, not everyone sees AI as a threat. Sebastian Lawson of Digital Jersey argued that artists could instead use AI to enhance their creativity rather than replace it. He insisted that human creators would always have an edge thanks to their unique insight and ability to convey meaning through their work.

The debate comes as the House of Lords recently blocked the UK government’s data bill for a second time, demanding stronger protections for artists and musicians against AI misuse.

Meanwhile, government officials have said they will not consider any copyright changes unless they are sure such moves would benefit creators as well as tech companies.

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Chicago Sun-Times under fire for fake summer guide

The Chicago Sun-Times has come under scrutiny after its 18 May issue featured a summer guide riddled with fake books, quotes, and experts, many of which appear to have been generated by AI.

Among genuine titles like Call Me By Your Name, readers encountered fictional works wrongly attributed to real authors, such as Min Jin Lee and Rebecca Makkai. The guide also cited individuals who do not appear to exist, including a professor at the University of Colorado and a food anthropologist at Cornell.

Although the guide carried the Sun-Times logo, the newspaper claims it wasn’t written or approved by its editorial team. It stated that the section had been licensed from a national content partner, reportedly Hearst, and is now being removed from digital editions.

Victor Lim, the senior director of audience development, said the paper is investigating how the content was published and is working to update policies to ensure third-party material aligns with newsroom standards.

Several stories in the guide lack bylines or feature names linked to questionable content. Marco Buscaglia, credited for one piece, admitted to using AI ‘for background’ but failed to verify the sources this time, calling the oversight ‘completely embarrassing.’

The incident echoes similar controversies at other media outlets where AI-generated material has been presented alongside legitimate reporting. Even when such content originates from third-party providers, the blurred line between verified journalism and fabricated stories continues to erode reader trust.

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Legal aid data breach affects UK applicants

The UK Ministry of Justice has confirmed a serious cyber-attack on its Legal Aid Agency, first detected on 23 April and revealed to be more extensive on 16 May. Investigators found that a wide range of personal details belonging to applicants dating back to 2010 were accessed.

The breach has prompted urgent security reviews and cooperation with the National Cyber Security Centre. Stolen information may include names, addresses, dates of birth, national ID numbers, criminal histories, employment records and financial data such as debts and contributions.

While the total number of affected individuals remains unconfirmed, publicly available figures suggest hundreds of thousands of applications across the last year alone. Victims have been urged to monitor for suspicious communications and to change passwords promptly.

UK Legal aid services have been taken offline as contingency measures are put in place to maintain support for vulnerable users. Jane Harbottle, CEO of the Legal Aid Agency, expressed regret over the incident and reassured applicants that efforts are underway to restore secure access.

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AI outperforms humans in debate persuasiveness

AI can be more persuasive than humans in debates, especially when given access to personal information, a new study finds. Scientists warn this capability could be exploited in politics and misinformation campaigns.

Researchers discovered that ChatGPT-4 changed opinions more effectively than human opponents in 64% of cases when it was able to tailor arguments using details like age, gender, and political views.

The experiments involved over 600 debates on topics ranging from school uniforms to abortion, with participants randomly assigned a stance. AI structured and adaptive communication style made it especially influential on people without strong pre-existing views.

While participants often identified when they were debating a machine, that did little to weaken the AI’s persuasive edge. Experts say this raises urgent questions about the role of AI in shaping public opinion, particularly during elections.

Though there may be benefits, such as promoting healthier behaviours or reducing polarisation, concerns about radicalisation and manipulation remain dominant. Researchers urge regulators to act swiftly to address potential abuses before they become widespread.

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Criminals exploit weak mail security in new fraud surge

Check washing fraud is making a worrying comeback in the US, fuelled by both AI-powered identity theft and lax mail security. Criminals are intercepting posted cheques, erasing original details using chemicals, and rewriting them for higher amounts or different recipients.

The rise in such fraud, often unnoticed until the money is long gone, is prompting experts to warn the public to take immediate preventative steps. Reports show a sharp increase in cheque-related scams, with US financial institutions flagging over 665,000 suspicious cases in 2023 alone.

Organised crime groups are now blending traditional cheque theft with modern techniques, such as AI-generated identities and forged digital images. The fraudsters are also using mobile deposits, phishing emails, and business email compromise to trick individuals and companies into transferring funds.

For added protection, individuals and businesses are advised to invest in fraud monitoring, use cheques with security features, and report any suspicious activity without delay. With losses running into hundreds of millions, the growing threat of cheque washing shows no signs of slowing down.

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The rise of tech giants in healthcare: How AI is reshaping life sciences

Silicon Valley targets health

The intersection of technology and healthcare is rapidly evolving, fuelled by advancements in ΑΙ and driven by major tech companies that are expanding their reach into the life sciences sector.

Once primarily known for consumer electronics or search engines, companies like Google, Amazon, Microsoft, Apple, and IBM are now playing an increasingly central role in transforming the medical field.

These companies, often referred to as ‘Big Tech’, are pushing the boundaries of what was once considered science fiction, using AI to innovate across multiple aspects of healthcare, including diagnostics, treatment, drug development, clinical trials, and patient care.

silicon valley tech companies

AI becomes doctors’ new tool

At the core of this revolution is AI. Over the past decade, AI has evolved from a theoretical tool to a practical and transformative force within healthcare.

Companies are developing advanced machine learning algorithms, cognitive computing models, and AI-powered systems capable of matching—and sometimes surpassing—human capabilities in diagnosing and treating diseases.

AI is also reshaping many aspects of healthcare, from early disease detection to personalised treatments and even drug discovery. This shift is creating a future where AI plays a significant role in diagnosing diseases, developing treatment plans, and improving patient outcomes at scale.

One of the most significant contributions of AI is in diagnostics. Google Health and its subsidiary DeepMind are prime examples of how AI can be used to outperform human experts in certain medical tasks.

For instance, DeepMind’s AI tools have demonstrated the ability to diagnose conditions like breast cancer and lung disease with remarkable accuracy, surpassing the abilities of human radiologists in some cases.

google deepmind AI progress Demis Hassabis

Similarly, Philips has filed patents for AI systems capable of detecting neurodegenerative diseases and tracking disease progression using heart activity and motion sensors.

From diagnosis to documentation

These breakthroughs represent only a small part of how AI is revolutionising diagnostics by improving accuracy, reducing time to diagnosis, and potentially saving lives.

In addition to AI’s diagnostic capabilities, its impact extends to medical documentation, an often-overlooked area that affects clinician efficiency.

Traditionally, doctors spend a significant amount of time on paperwork, reducing the time they can spend with patients.

However, AI companies like Augmedix, DeepScribe, and Nabla are addressing this problem by offering solutions that generate clinical notes directly from doctor-patient conversations.

AI doctor

These platforms integrate with electronic health record (EHR) systems and automate the note-taking process, which reduces administrative workload and frees up clinicians to focus on patient care.

Augmedix, for example, claims to save up to an hour per day for clinicians, while DeepScribe’s AI technology is reportedly more accurate than even GPT-4 for clinical documentation.

Nabla takes this further by offering AI-driven chatbots and decision support tools that enhance clinical workflows and reduce physician burnout.

Portable ultrasounds powered by AI

AI is also transforming medical imaging, a field traditionally dependent on expensive, bulky equipment that requires specialised training.

Innovators like Butterfly Network are developing portable, AI-powered ultrasound devices that can provide diagnostic capabilities at a fraction of the cost of traditional equipment. These devices offer greater accessibility, particularly in regions with limited access to medical imaging technology.

The ability to perform ultrasounds and MRIs in remote areas, using portable devices powered by AI, is democratising healthcare and enabling better diagnostic capabilities in underserved regions.

An advanced drug discovery

In the realm of drug discovery and treatment personalisation, AI is making significant strides. Companies like IBM Watson are at the forefront of using AI to personalise treatment plans by analysing vast amounts of patient data, including medical histories, genetic information, and lifestyle factors.

IBM Watson has been particularly instrumental in the field of oncology, where it assists physicians by recommending tailored cancer treatment protocols.

treatment costs.

A capability like this is made possible by the vast amounts of medical data Watson processes to identify the best treatment options for individual patients, ensuring that therapies are more effective by considering each patient’s unique characteristics.

Smart automation in healthcare

Furthermore, AI is streamlining administrative tasks within healthcare systems, which often burden healthcare providers with repetitive, time-consuming tasks like appointment scheduling, records management, and insurance verification.

By automating these tasks, AI allows healthcare providers to focus more on delivering high-quality care to patients.

Amazon Web Services (AWS), for example, is leveraging its cloud platform to develop machine learning tools that assist healthcare providers in making more effective clinical decisions while improving operational efficiency.

It includes using AI to enhance clinical decision-making, predict patient outcomes, and manage the growing volume of patient data that healthcare systems must process.

Startups and giants drive the healthcare race

Alongside the tech giants, AI-driven startups are also playing a pivotal role in healthcare innovation. Tempus, for example, is integrating genomic sequencing with AI to provide physicians with actionable insights that improve patient outcomes, particularly in cancer treatment.

The fusion of data from multiple sources is enhancing the precision and effectiveness of medical decisions. Zebra Medical Vision, another AI-driven company, is using AI to analyse medical imaging data and detect a wide range of conditions, from liver disease to breast cancer.

Zebra’s AI algorithms are designed to identify conditions often before symptoms even appear, which greatly improves the chances of successful treatment through early detection.

Tech giants are deeply embedded in the healthcare ecosystem, using their advanced capabilities in cloud computing, AI, and data analytics to reshape the industry.

partners handshake ai companies

Microsoft, for example, has made significant strides in AI for accessibility, focusing on creating healthcare solutions that empower individuals with disabilities. Their work is helping to make healthcare more inclusive and accessible for a broader population.

Amazon’s AWS cloud platform is another example of how Big Tech is leveraging its infrastructure to develop machine learning tools that support healthcare providers in delivering more effective care.

M&A meets medicine

In addition to developing their own AI tools, these tech giants have made several high-profile acquisitions to accelerate their healthcare strategies.

Google’s acquisition of Fitbit, Amazon’s purchase of PillPack and One Medical, and Microsoft’s $19.7 billion acquisition of Nuance are all clear examples of how Big Tech is seeking to integrate AI into every aspect of the healthcare value chain, from drug discovery to clinical delivery.

These acquisitions and partnerships also enable tech giants to tap into new areas of the healthcare market and provide more comprehensive, end-to-end solutions to healthcare providers and patients alike.

Smart devices empower health

Consumer health technologies have also surged in popularity, thanks to the broader trend of digital health and wellness tools. Fitness trackers, smartwatches, and mobile health apps allow users to monitor everything from heart rates to sleep quality.

Devices like the Apple Watch and Google’s Fitbit collect health data continuously, providing users with personalised insights into their well-being.

seoul 05 02 2022 male hand with two apple watches with pink and gray strap on white background

Instead of being isolated within individual devices, the data is increasingly being integrated into broader healthcare systems, enabling doctors and other healthcare providers to have a more complete view of a patient’s health.

This integration has also supported the growth of telehealth services, with millions of people now opting for virtual consultations powered by Big Tech infrastructure and AI-powered triage tools.

Chinese hospitals embrace generative AI

The rise of generative AI is also transforming healthcare, particularly in countries like China, where technology is advancing rapidly. Once considered a distant ambition, the use of generative AI in healthcare is now being implemented at scale.

The technology is being used to manage massive drug libraries, assist with complex diagnoses, and replicate expert reasoning processes, which helps doctors make more informed decisions.

At Beijing Hospital of Traditional Chinese Medicine, Ant Group’s medical model has impressed staff by offering diagnostic suggestions and replicating expert reasoning, streamlining consultations without replacing human doctors.

Our choice in a tech-driven world

As AI continues to evolve, tech giants are likely to continue disrupting the healthcare industry while also collaborating with traditional healthcare providers.

While some traditional life sciences companies may feel threatened by the rise of Big Tech in healthcare, those that embrace AI and form partnerships with tech companies will likely be better positioned for success.

The convergence of AI and healthcare is already reshaping the future of medicine, and traditional healthcare players must adapt or risk being left behind.

generate an image of an artificial intelligence head in front of a human head and digital codes in the background reproducing all the human heads inputs and psychological reactions

Despite the tremendous momentum, there are challenges that need to be addressed. Data privacy, regulatory concerns, and the growing dominance of Big Tech in healthcare remain significant hurdles.

If these challenges are addressed responsibly, however, the integration of AI into healthcare could modernise care delivery on a global scale.

Rather than replacing doctors, the goal is to empower them with better tools, insights, and outcomes. The future of healthcare is one where technology and human expertise work in tandem, enhancing the patient experience and improving overall health outcomes.

As human beings, we must understand that the integration of technology across multiple sectors is a double-edged sword. It can either benefit us and help build better future societies, or mark the beginning of our downfall— but in the end, the choice will always be ours.

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