Digital cooperation Archives | Page 140 of 230

AI and AFM deliver real-time macrophage phenotyping

Macrophages drive immune responses, including inflammation, tissue repair, and tumour growth. Identifying their polarisation states is key for diagnosis and immunotherapy, but current methods, such as RNA sequencing and flow cytometry, are expensive, slow, and unsuitable for real-time use.

Atomic force microscopy (AFM) has emerged as a powerful tool for decoding mechanobiological signatures of cells. Combined with AI, AFM data can be rapidly analysed, but macrophage phenotyping has been relatively underexplored using this approach.

Researchers led by Prof Li Yang at the Shenzhen Institutes of Advanced Technology have now developed a label-free, non-invasive method combining AFM with deep learning. The system accurately profiles human macrophage mechanophenotypes and identifies polarisation states in real-time.

The AI model was trained on well-characterised macrophage subtypes and validated using flow cytometry. Results showed that pseudovirus stimulation mainly produced M1 macrophages, with smaller populations of M2 and mixed phenotypes, closely matching the model’s predictions.

The study, published in Small Methods, offers a promising diagnostic tool that could be extended beyond macrophages to other cell types. It could support new approaches in cancer, fibrosis, and infectious disease diagnostics based on mechanophenotypes.

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Oracle and OpenAI drive record $300B investment in cloud for AI

OpenAI has finalised a record $300 billion deal with Oracle to secure vast computing infrastructure over five years, marking one of the most significant cloud contracts in history. The agreement is part of Project Stargate, OpenAI’s plan to build massive data centre capacity in the US and abroad.

The two companies will develop 4.5 gigawatts of computing power, equivalent to the energy consumed by millions of homes.

Backed by SoftBank and other partners, the Stargate initiative aims to surpass $500 billion in investment, with construction already underway in Texas. Additional plans include a large-scale data centre project in the United Arab Emirates, supported by Emirati firm G42.

The scale of the deal highlights the fierce race among tech giants to dominate AI infrastructure. Amazon, Microsoft, Google and Meta are also pledging hundreds of billions of dollars towards data centres, while OpenAI faces mounting financial pressure.

The company currently generates around $10 billion in revenue but is expected to spend far more than that annually to support its expansion.

Oracle is betting heavily on OpenAI as a future growth driver, although the risk is high given OpenAI’s lack of profitability and Oracle’s growing debt burden.

A gamble that rests on the assumption that ChatGPT and related AI technologies will continue to grow at an unprecedented pace, despite intense competition from Google, Anthropic and others.

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AI chatbot mixes up Dutch political party policies

Dutch voters have been warned not to rely on AI chatbots for political advice after Google’s NotebookLM mixed up VVD and PVV policies.

When asked about Ukrainian refugees, the tool attributed a PVV proposal to send men back to Ukraine to the VVD programme. Similar confusions reportedly occurred when others used the system.

Google acknowledged the mistake and said it would investigate whether the error was a hallucination, the term for incorrect AI-generated output.

Experts caution that language models predict patterns rather than facts, making errors unavoidable. Voting guide StemWijzer stressed that reliable political advice requires up-to-date and verified information.

Professor Claes de Vreese said chatbots might be helpful to supplementary tools but should never replace reading actual party programmes. He also urged stricter regulation to avoid undue influence on election choices.

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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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Altman questions if social media is dominated by bots

OpenAI CEO Sam Altman has sparked debate after admitting he increasingly struggles to distinguish between genuine online conversations and content generated by bots or AI models.

Altman described a ‘strangest experience’ while reading about OpenAI’s Codex model, saying comments instinctively felt fake even though he knew the growth trend was real. He said social media rewards, ‘LLM-speak,’ and astroturfing make communities feel less genuine.

His comments follow an earlier admission that he had never considered the so-called dead internet theory until now, when large language model accounts seemed to be running X. The theory claims bots and artificial content dominate online activity, though evidence of coordinated control is lacking.

Reactions were divided, with some users agreeing that online communities have become increasingly bot-like. Others argued the change reflects shifting dynamics in niche groups rather than fake accounts.

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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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International search widens for ransomware fugitive on EU Most Wanted

A Ukrainian cybercrime suspect has been added to the EU’s Most Wanted list for his role in the 2019 LockerGoga ransomware attack against a major Norwegian aluminium company and other global incidents.

The fugitive is considered a high-value target and is wanted by multiple countries. The US Department of Justice has offered up to USD 10 million for information leading to the arrest.

Europol stated that the identification of the suspect followed a lengthy, multinational investigation supported by Eurojust, with damages from the network estimated to be in the billions. Several members of the group have already been detained in Ukraine.

Investigators have mapped the network’s operations, tracing its hierarchy from malware developers and intrusion experts to money launderers who processed illicit proceeds. The wanted man is accused of directly deploying LockerGoga ransomware.

Europol has urged the public to visit the EU Most Wanted website and share information that could assist in locating the fugitive. The suspect’s profile is now live on the platform.

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