Capacity development

Harvard develops AI to identify life-changing gene-drug combinations

Researchers at Harvard Medical School unveiled an AI designed to match genes and drugs to combat disease in cells. The system, called PDGrapher, aims to tackle conditions ranging from Parkinson’s and Alzheimer’s to rare disorders like X-linked Dystonia-Parkinsonism.

Unlike traditional tools that only detect correlations, PDGrapher forecasts which gene-drug pairings can restore healthy cellular function and explains their mechanisms. It may speed up research, lower expenses, and point to novel treatments.

Early tests suggest that PDGrapher can identify known effective combinations and propose new ones that have yet to be validated. If validated in trials, the technology could move medicine towards personalised treatments.

The debut of PDGrapher reflects a broader trend of AI transforming biotechnology. Innovations in AI are accelerating research by mapping biological systems with unprecedented speed, showing how machine learning can decode complex biological systems faster than ever before.

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Ransomware 3.0 raises alarm over AI-generated cyber threats

Researchers at NYU’s Tandon School of Engineering have demonstrated how large language models can be utilised to execute ransomware campaigns autonomously. Their prototype, dubbed Ransomware 3.0, simulated every stage of an attack, from intrusion to the generation of a ransom note.

The system briefly raised an alarm after cybersecurity firm ESET discovered its files on VirusTotal, mistakenly identifying them as live malware. The proof-of-concept was designed only for controlled laboratory use and posed no risk outside testing environments.

Instead of pre-written code, the prototype embedded text instructions that triggered AI models to generate tailored attack scripts. Each execution created unique code, evading traditional detection methods and running across Windows, Linux, and Raspberry Pi systems.

The researchers found that the system identified up to 96% of sensitive files and could generate personalised extortion notes, raising psychological pressure on victims. With costs as low as $0.70 per attack using commercial AI services, such methods could lower barriers for criminals.

The team stressed that the work was conducted ethically and aims to help defenders prepare countermeasures. They recommend monitoring file access patterns, limiting outbound AI connections, and developing defences against AI-generated attack behaviours.

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Pressure mounts as Apple prepares AI search push with Google ties

Apple’s struggles in the AI race have been hard to miss. Its Apple Intelligence launch was disappointing, and its reliance on ChatGPT appeared to be a concession to rivals.

Bloomberg’s Mark Gurman now reports that Apple plans to introduce its AI-powered web search tool in spring 2026. The move would position it against OpenAI and Perplexity, while renewing pressure on Google.

The speculation comes after news that Google may integrate its Gemini AI into Apple devices. During an antitrust trial in April, Google CEO Sundar Pichai confirmed plans to roll out updates later this year.

According to Gurman, Apple and Google finalised an agreement for Apple to test a Google-developed AI model to boost its voice assistant. The partnership reflects Apple’s mixed strategy of dependence and rivalry with Google.

With a strong record for accurate Apple forecasts, Gurman suggests the company hopes the move will narrow its competitive gap. Whether it can outpace Google, especially given Pixel’s strong AI features, remains an open question.

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Google avoids breakup as AI reshapes search and threatens e-commerce traffic

The US tech giant Google will not be forced to divest Chrome or Android following the long-running US monopoly case.

Judge Mehta ruled that while Google holds a monopoly in traditional search, the rise of AI companies is creating new competitive pressures.

The judgement prevents Google from striking exclusive distribution deals but still allows it to pay partners for preloading and placement of its products. The court also ordered Google to loosen its control over search data, a move that could enable rivals to build their own AI-driven search tools.

Yet, concerns remain for e-commerce businesses.

Google Zero, the company’s AI-powered search summary, is cutting website traffic by keeping users within Google’s results.

Research shows sharp declines in mobile click-through rates, leaving online retailers uncertain of their future visibility.

Experts warn that zero-click searches are becoming the norm. Businesses are being urged to optimise for Google’s AI overviews, enhance the value of product and review pages, track traffic impacts, and diversify their marketing channels.

While Google has avoided structural remedies, its dominance in search and AI appears far from over.

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Microsoft brings Anthropic AI into Office 365 as OpenAI tensions rise

The US tech giant Microsoft is expanding its AI strategy by integrating Anthropic’s Claude models into Office 365, adding them to apps like Word, Excel and Outlook instead of relying solely on OpenAI.

Internal tests reportedly showed Anthropic’s systems outperforming OpenAI in specific reasoning and data-processing tasks, prompting Microsoft to adopt a hybrid approach while maintaining OpenAI as a frontier partner.

The shift reflects growing strain between Microsoft and OpenAI, with disputes over intellectual property and cloud infrastructure as well as OpenAI’s plans for greater independence.

By diversifying suppliers, Microsoft reduces risks, lowers costs and positions itself to stay competitive while OpenAI prepares for a potential public offering and develops its own data centres.

Anthropic, backed by Amazon and Google, has built its reputation on safety-focused AI, appealing to Microsoft’s enterprise customers wary of regulatory pressures.

Analysts believe the move could accelerate innovation, spark a ‘multi-model era’ of AI integration, and pressure OpenAI to enhance its technology faster.

The decision comes amid Microsoft’s push to broaden its AI ecosystem, including its in-house MAI-1 model and partnerships with firms like DeepSeek.

Regulators are closely monitoring these developments, given Microsoft’s dominant role in AI investment and the potential antitrust implications of its expanding influence.

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Arm unveils Lumex mobile chips built for AI

UK-based chip designer Arm introduced Lumex, a next-generation chip design explicitly designed to power AI on smartphones, smartwatches, and next-generation PCs.

Arm, whose processor architecture underpins devices from Apple and Nvidia, described Lumex as its most advanced platform yet for real-time AI assistance, communication and on-device personalisation.

Arm’s senior vice-president Chris Bergey said consumers now expect instant, private, seamless AI features instead of gradual improvements.

The Lumex platform combines performance, privacy, and efficiency, allowing partners to use the design as delivered or configure it to their own requirements.

A brand that is part of a broader naming structure includes Neoverse for infrastructure, Niva for PCs, Zena for automotive, and Orbis for the internet of things.

Meanwhile, Arm is reportedly preparing to manufacture its chips, having recruited Amazon’s Rami Sinno, who helped build Trainium and Inferentia, to strengthen its in-house ambitions.

These moves mark a significant moment for Arm, as the company seeks to expand its influence in the AI hardware space and reduce reliance on licensing alone.

With the rise of generative AI, the push for high-performance chips designed around on-device intelligence is becoming central to the future of mobile technology.

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AI in weather forecasting takes centre stage in Abu Dhabi

Abu Dhabi hosted a Weather Summit that explored how AI could transform forecasting and support operations, such as cloud seeding. Experts emphasised that AI enhances analysis but must complement, rather than replace, human judgement.

Discussions focused on Earth-system forecasting using satellite datasets, IoT devices, and geospatial systems. Quality, interoperability, and equitable access to weather services were highlighted as pressing priorities.

Speakers raised questions about public and private sector incentives’ reliability, transparency, and influence on AI. Collaboration across sectors was crucial to strengthening trust and global cooperation in meteorology.

WMO President Dr Abdulla Al Mandous said forecasting has evolved from traditional observation to supercomputing and AI. He argued that integrating models with AI could deliver more precise local forecasts for agriculture, aviation, and disaster management.

The summit brought together leaders from UN bodies, research institutions, and tech firms, including Google, Microsoft, and NVIDIA. Attendees highlighted the need to bridge data gaps, particularly in developing regions, to confront rising climate challenges.

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Kazakhstan to create state digital asset fund

Kazakhstan President Kassym-Jomart Tokayev has announced plans to establish a State Digital Asset Fund to consolidate the country’s position in digital finance. The fund will accumulate a strategic crypto reserve through the National Bank’s Investment Corporation.

Crypto adoption in Kazakhstan has surged, doubling ownership from 4% in 2022 to 8% in 2024. Mining generated over $10 million in taxes, while licensed providers contributed $367,000 in the first eight months 2024.

Tokayev warned of rising online fraud, highlighting the need for anti-fraud centres, biometric ID systems, and enhanced legislation to protect citizens and state finances. He connected digital finance to urban development, unveiling Alatau City, a $7.2 billion fully digitalised smart city with crypto payments.

The initiative positions Kazakhstan as a regional leader in crypto strategy, combining economic growth, technological innovation, and digital infrastructure development.

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Russian lawmaker pushes for creation of national crypto bank

A senior Russian policymaker has proposed the creation of a national crypto bank, arguing it would raise state revenues and help curb financial crime.

Yevgeny Masharov, a member of the Public Chamber of the Russian Federation, said a national crypto bank would bring vast sums of crypto into the legal economy. He added that lawmakers also aim to ban quasi-legal exchanges while exploring the launch of state-run trading platforms.

Masharov suggested that a crypto bank could be a tool against online fraud, particularly schemes involving ‘droppers’ who launder cash and crypto for criminals. He argued that by keeping transactions within an official system, authorities would have more control over illicit flows.

The initiative follows similar moves in Belarus, where President Alexander Lukashenko has instructed officials to accelerate work on a national crypto bank. Moscow also views such a project as a way to support miners, enable safer cross-border payments, and reduce reliance on Western-controlled financial networks.

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Older patients report high satisfaction with AI blood pressure support

AI voice agents helped older adults with high blood pressure provide accurate readings from home, according to new research presented at the American Heart Association’s Hypertension Scientific Sessions 2025.

The study involved 2,000 patients, most aged 65 or older, who received automated phone calls in multiple languages prompting them to submit readings. Calls outside safe thresholds or involving symptoms such as chest pain were immediately escalated to clinicians.

Researchers reported improved compliance and accuracy, with 68% of patients meeting blood pressure control standards. The programme also cut costs by nearly 89% compared to nurse-led interventions while boosting Medicare performance ratings.

Patient satisfaction was high, with average scores above nine out of ten. Experts said such AI tools could help close care gaps, particularly for patients with limited access to medical professionals.

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