Microsoft warns of a surge in ransomware and extortion incidents

Financially motivated cybercrime now accounts for the majority of global digital threats, according to Microsoft’s latest Digital Defense Report.

The company’s analysts found that over half of all cyber incidents with known motives in the past year were driven by extortion or ransomware, while espionage represented only a small fraction.

Microsoft warns that automation and accessible off-the-shelf tools have allowed criminals with limited technical skills to launch widespread attacks, making cybercrime a constant global threat.

The report reveals that attackers increasingly target critical services such as hospitals and local governments, where weak security and urgent operational demands make them easy victims.

Cyberattacks on these sectors have already led to real-world harm, from disrupted emergency care to halted transport systems. Microsoft highlights that collaboration between governments and private industry is essential to protect vulnerable sectors and maintain vital services.

While profit-seeking criminals dominate by volume, nation-state actors are also expanding their reach. State-sponsored operations are growing more sophisticated and unpredictable, with espionage often intertwined with financial motives.

Some state actors even exploit the same cybercriminal networks, complicating attribution and increasing risks for global organisations.

Microsoft notes that AI is being used by both attackers and defenders. Criminals are employing AI to refine phishing campaigns, generate synthetic media and develop adaptive malware, while defenders rely on AI to detect threats faster and close security gaps.

The report urges leaders to prioritise cybersecurity as a strategic responsibility, adopt phishing-resistant multifactor authentication, and build strong defences across industries.

Security, Microsoft concludes, must now be treated as a shared societal duty rather than an isolated technical task.

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AI Infrastructure Partnership and BlackRock consortium acquire Aligned Data Centers

A consortium comprising the Artificial Intelligence Infrastructure Partnership, MGX, and BlackRock’s Global Infrastructure Partners has announced the acquisition of Aligned Data Centers for an estimated forty billion dollars.

The move marks a major step towards expanding the infrastructure underpinning global AI and cloud growth.

Aligned, headquartered in Dallas, operates more than fifty campuses and five gigawatts of capacity across the US and Latin America. The company is known for its patented air, liquid, and hybrid cooling systems that enhance efficiency and sustainability, particularly in high-density AI environments.

Under the consortium, Aligned will accelerate the development of scalable and energy-efficient data facilities to meet rising global demand.

The Artificial Intelligence Infrastructure Partnership was founded by BlackRock, GIP, MGX, Microsoft, and NVIDIA to advance large-scale AI infrastructure investment.

Backed by sovereign wealth funds from Kuwait and Singapore, it aims to mobilise thirty billion dollars in equity and up to one hundred billion, including debt.

The Aligned acquisition represents its first major investment and positions the company as a cornerstone of the group’s strategy.

Executives from BlackRock, MGX, and GIP said the deal reflects a shared commitment to building sustainable, resilient infrastructure for the AI era.

Aligned CEO Andrew Schaap added that the partnership would strengthen the company’s global reach and innovation capacity, redefining standards for digital infrastructure in an increasingly AI-driven economy.

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AI system links hidden signals in patient records to improve diagnosis

Researchers at Mount Sinai and UC Irvine have developed a novel AI system, InfEHR, which creates a dynamic network of an individual’s medical events and relationships over time. The system detects disease patterns that traditional approaches often miss.

InfEHR transforms time-ordered data, visits, labs, medications, and vital signs, into a graphical network for each patient. It then learns which combinations of clues across that network tend to correlate with hidden disease states.

In testing, with only a few physician-annotated examples, the AI system identified neonatal sepsis without positive blood cultures at rates 12–16× higher than current methods, and post-operative kidney injury with 4–7× more sensitivity than baseline clinical rules.

As a safety feature, InfEHR can also respond ‘not sure’ when the record lacks enough signal, reducing the risk of overconfident errors.

Because it adapts its reasoning per patient rather than applying the same rules to all, InfEHR shows promise for personalized diagnostics across hospitals and populations, even with relatively small annotated datasets.

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Oracle and Microsoft partner to bring real-time AI insights into supply chains

Oracle announced a collaboration with Microsoft aimed at improving supply chain responsiveness and efficiency. The project centres on a new integration blueprint that bridges Oracle Fusion Cloud SCM with Microsoft Azure IoT Operations and Microsoft Fabric.

Under this plan, sensor and equipment data from factory floors is captured in real time via Azure IoT and forwarded through Fabric. That data will then feed directly into Oracle SCM workflows.

The goal: more visibility, faster decisions and automated responses, such as triggering maintenance, quality checks or inventory adjustments.

Among the features highlighted are secure, real-time intelligence and data flows from shop floor equipment into enterprise systems, automated business events that respond to changes (e.g. imbalance, faults, demand shifts), standardised best practices with reference architectures and prescriptive guidance for integration and embedded AI assistant capabilities in SCM to augment decision making and resilience.

Oracle frames this as part of its Smart Operations vision, where systems are more connected and responsive by design. Microsoft emphasises that Azure’s edge processing and Fabric’s real-time analytics are critical to turning raw IoT signals into actionable business events.

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Apple launches M5 with bigger AI gains

Apple unveiled the M5 chip, targeting a major jump in on-device AI. Apple says peak GPU compute for AI is over four times M4, with a Neural Accelerator in each of the 10 GPU cores.

The CPU pairs up to four performance cores with six efficiency cores for up to 15 percent faster multithreaded work versus M4. A faster 16-core Neural Engine and higher unified memory bandwidth at 153 GB/s aim to speed Apple Intelligence features.

Graphics upgrades include third-generation ray tracing and reworked caching for up to 45 percent higher performance than M4 in supported apps. With the help of AI, Apple notes smoother gameplay and quicker 3D renders, plus Vision Pro refresh up to 120 Hz.

The M5 chip reaches the 14-inch MacBook Pro, iPad Pro, and Apple Vision Pro, with pre-orders open. Apple highlights tighter tie-ins with Core ML, Metal 4 and Tensor APIs, and support for larger local models via unified memory up to 32 GB.

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Microsoft to support UAE investment analytics with responsible AI tools

The UAE Ministry of Investment and Microsoft signed a Memorandum of Understanding at GITEX Global 2025 to apply AI to investment analytics, financial forecasting, and retail optimisation. The deal aims to strengthen data governance across the investment ecosystem.

Under the MoU, Microsoft will support upskilling through its AI National Skilling Initiative, targeting 100,000 government employees. Training will focus on practical adoption, responsible use, and measurable outcomes, in line with the UAE’s National AI Strategy 2031.

Both parties will promote best practices in data management using Azure services such as Data Catalog and Purview. Workshops and knowledge-sharing sessions with local experts will standardise governance. Strong controls are positioned as the foundation for trustworthy AI at scale.

The agreement was signed by His Excellency Mohammad Alhawi and Amr Kamel. Officials say the collaboration will embed AI agents into workflows while maintaining compliance. Investment teams are expected to gain real-time insights and automation that shorten the time to action.

The partnership supports the ambition to make the UAE a leader in AI-enabled investment. It also signals deeper public–private collaboration on sovereign capabilities. With skills, standards, and use cases in place, the ministry aims to attract capital and accelerate diversification.

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Agentic AI at scale with Salesforce and AWS

Salesforce and AWS outlined a tighter partnership on agentic AI, citing rapid growth in enterprise agents and usage. They set four pillars for the ‘Agentic Enterprise’: unified data, interoperable agents, modernised contact centres and streamlined procurement via AWS Marketplace.

Data 360 ‘Zero Copy’ accesses Amazon Redshift without duplication, while Data 360 Clean Rooms integrate with AWS Clean Rooms for privacy-preserving collaboration. 1-800Accountant reports agents resolving most routine inquiries so human experts focus on higher-value work.

Agentforce supports open standards such as Model Context Protocol and Agent2Agent to coordinate multi-vendor agents. Pilots link Bedrock-based agents and Slack integrations that surface Quick Suite tools, with Anthropic and Amazon Nova models available inside Salesforce’s trust boundary.

Contact centres extend agentic workflows through Salesforce Contact Center with Amazon Connect, adding voice self-service plus real-time transcription and sentiment. Complex issues hand off to representatives with full context, and Toyota Motor North America plans automation for service tasks.

Procurement scales via AWS Marketplace, where Salesforce surpassed $2bn in lifetime sales across 30 countries. AgentExchange listings provide prebuilt, customisable agents and workflows, helping enterprises adopt agentic AI faster with governance and security intact.

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Scaling a cell ‘language’ model yields new immunotherapy leads

Yale University and Google unveiled Cell2Sentence-Scale 27B, a 27-billion-parameter model built on Gemma to decode the ‘language’ of cells. The system generated a novel hypothesis about cancer cell behaviour, and CEO Sundar Pichai called it ‘an exciting milestone’ for AI in science.

The work targets a core problem in immunotherapy: many tumours are ‘cold’ and evade immune detection. Making them visible requires boosting antigen presentation. C2S-Scale sought a ‘conditional amplifier’ drug that boosts signals only in immune-context-positive settings.

Smaller models lacked the reasoning to solve the problem, but scaling to 27B parameters unlocked the capability. The team then simulated 4,000 drugs across patient samples. The model flagged context-specific boosters of antigen presentation, with 10–30% already known and the rest entirely novel.

Researchers emphasise that conditional amplification aims to raise immune signals only where key proteins are present. That could reduce off-target effects and make ‘cold’ tumours discoverable. The result hints at AI-guided routes to more precise cancer therapies.

Google has released C2S-Scale 27B on GitHub and Hugging Face for the community to explore. The approach blends large-scale language modelling with cell biology, signalling a new toolkit for hypothesis generation, drug prioritisation, and patient-relevant testing.

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Report warns of AI-driven divide in higher education

A new report from the Higher Education Policy Institute warns of an urgent need to improve AI literacy among staff and students in the UK. The study argues that without coordinated investment in training and policy, higher education risks deepening digital divides and losing relevance in an AI-driven world.

British report contributors say universities must move beyond acknowledging AI’s presence and instead adopt structured strategies for skill development. Kate Borthwick adds that both staff and students require ongoing education to manage how AI reshapes teaching, assessment, and research.

The publication highlights growing disparities in access and use of generative AI based on gender, wealth, and academic discipline. In a chapter written by ChatGPT, the report suggests universities create AI advisory teams within research offices and embed AI training into staff development programmes.

Elsewhere, Ant Bagshaw from the Australian Public Policy Institute warns that generative AI could lead to cuts in professional services staff as universities seek financial savings. He acknowledges the transition will be painful but argues that it could drive a more efficient and focused higher education sector.

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Humanity AI launches $500M initiative to build a people-centred future

A coalition of ten leading philanthropic foundations has pledged $500 million over five years to ensure that AI evolves in ways that strengthen humanity rather than marginalise it.

The initiative, called Humanity AI, brings together organisations such as the Ford, MacArthur, Mellon, and Mozilla foundations to promote a people-driven vision for AI that enhances creativity, democracy, and security.

As AI increasingly shapes every aspect of daily life, the coalition seeks to place citizens at the centre of the conversation instead of leaving decisions to a few technology firms.

It plans to support new research, advocacy, and partnerships that safeguard democratic rights, protect creative ownership, and promote equitable access to education and employment.

The initiative also prioritises the ethical use of AI in safety and economic systems, ensuring innovation does not come at the expense of human welfare.

John Palfrey, president of the MacArthur Foundation, said Humanity AI aims to shift power back to the public by funding technologists and advocates committed to responsible innovation.

Michele Jawando of the Omidyar Network added that the future of AI should be designed by people collectively, not predetermined by algorithms or corporate agendas.

Rockefeller Philanthropy Advisors will oversee the fund, which begins issuing grants in 2026. Humanity AI invites additional partners to join in creating a future where people shape technology instead of being shaped by it.

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