Cybersecurity

Microsoft partners with Lambda in multibillion AI infrastructure deal

Lambda has announced a multibillion-euro agreement with Microsoft to expand AI infrastructure powered by tens of thousands of NVIDIA GPUs, marking one of the largest private cloud computing collaborations to date.

The multi-year deal aims to accelerate the deployment of AI supercomputers at scale, enhancing the capacity for enterprise and research applications across industries.

Under the partnership, Lambda will provide mission-critical cloud compute infrastructure using NVIDIA GB300 NVL72 systems.

A collaboration that builds on an eight-year relationship between the two companies and reflects growing global demand for high-performance computing driven by the rise of AI assistants and enterprise AI solutions.

Stephen Balaban, CEO of Lambda, said the project represents a major step in developing gigawatt-scale AI factories capable of serving billions of users. The company positions itself as a trusted large-scale partner for organisations building advanced AI models and systems.

Founded in 2012, Lambda designs supercomputing infrastructure for AI training and inference, aiming to make computing power as accessible as electricity and to advance what it calls the era of ‘superintelligence’.

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EU invests €2.9 billion to drive net-zero industrial transformation

The European Commission has approved €2.9 billion in funding for 61 large-scale net-zero technology projects, marking one of the EU’s most significant investments in clean innovation to date.

Financed through revenues from the EU Emissions Trading System, the initiative aims to accelerate Europe’s path towards climate neutrality by 2050.

The selected projects cover 19 industrial sectors across 18 Member States and target areas such as renewable energy, energy storage, zero-emission mobility, and industrial carbon management.

Collectively, they are expected to cut more than 220 million tonnes of CO₂ over the next decade, reinforcing Europe’s global leadership in sustainable technologies instead of relying on imports.

Funded under the Innovation Fund, which draws on an estimated €40 billion in ETS revenues, the initiative highlights the EU’s industrial readiness for decarbonisation. The latest call attracted 359 applications requesting €21.7 billion in support, underscoring the rapid growth of the continent’s cleantech sector.

Commissioner Wopke Hoekstra described the announcement as proof that the EU is turning its climate ambitions into industrial reality, creating green jobs and strengthening economic resilience. The next round of Innovation Fund calls will open in December 2025.

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EU invests €107 million in RAISE for AI in science

The European Commission has unveiled RAISE, a new virtual institute designed to unite Europe’s AI research and accelerate scientific breakthroughs.

The launch, announced in Copenhagen, marks a flagship moment in the EU’s strategy to strengthen its leadership in science and technology through collective action.

Funded with €107 million under Horizon Europe, RAISE will bring together Europe’s best resources in data, computing power, and research talent.

An initiative that will help scientists apply AI to pressing challenges such as cancer treatment, climate change, and natural disaster prediction, while promoting innovation that serves humanity instead of commercial interests alone.

RAISE will work with the EuroHPC Joint Undertaking to secure access to AI Gigafactories and will dedicate €75 million to train and attract global researchers through Networks of Excellence.

The Commission also plans to double Horizon Europe’s annual AI investments to more than €3 billion, ensuring that the EU remains a global leader in scientific AI.

A project that reflects the EU’s ambition to achieve technological sovereignty and create an inclusive AI ecosystem. As RAISE grows in phases towards 2034, it will strengthen cooperation among Member States, academia, and industry, setting a benchmark for responsible and innovative AI in science.

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Salesforce’s Agentforce helps organisations deliver 24/7 support

Organisations across public and private sectors are using Salesforce’s Agentforce to engage people whenever and wherever they need support.

From local governments to hospitals and education platforms, AI systems are transforming how services are delivered and accessed.

In the city of Kyle, Texas, an Agentforce-driven 311 app enables residents to report issues such as potholes or water leaks. The city plans to make the system voice-enabled, reducing traditional call volumes while maintaining a steady flow of service requests and faster responses.

At Pearson, AI enables students to access their online learning platforms instantly, regardless of their time zone. The company stated that the technology fosters loyalty by providing immediate assistance, rather than requiring users to wait for human support.

Meanwhile, UChicago Medicine utilises AI to streamline patient interactions, from prescription refills to scheduling, while ambient listening tools enable doctors to focus entirely on patients rather than typing notes.

Salesforce said Agentforce empowers organisations to save resources while enhancing trust, accessibility, and service quality. By meeting people on their own terms, AI enables more responsive and human-centred interactions across various industries.

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Facebook update lets admins make private groups public safely

Meta has introduced a new Facebook update allowing group administrators to change their private groups to public while keeping members’ privacy protected. The company said the feature gives admins more flexibility to grow their communities without exposing existing private content.

All posts, comments, and reactions shared before the change will remain visible only to previous members, admins, and moderators. The member list will also stay private. Once converted, any new posts will be visible to everyone, including non-Facebook users, which helps discussions reach a broader audience.

Admins have three days to review and cancel the conversion before it becomes permanent. Members will be notified when a group changes its status, and a globe icon will appear when posting in public groups as a reminder of visibility settings.

Groups can be switched back to private at any time, restoring member-only access.

Meta said the feature supports community growth and deeper engagement while maintaining privacy safeguards. Group admins can also utilise anonymous or nickname-based participation options, providing users with greater control over their engagement in public discussions.

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World Economic Forum President warns of potential AI and crypto bubbles 

World Economic Forum President Borge Brende has warned that massive investments in AI and cryptocurrencies may create financial bubbles. Speaking in Berlin, he noted that $500 billion has been invested in AI this year, raising concerns about speculative bubbles in AI and cryptocurrency.

Brende described frontier technologies as a ‘big paradigm shift’ that could drive global growth, with potential productivity gains of up to 10% over the next decade. He noted that breakthroughs in medicine, synthetic biology, space, and energy could transform economies, but stressed that the benefits must be widely shared.

Geopolitical uncertainty remains a significant concern, according to Brende. He pointed to rising tensions between the US and China, calling it a race for technological dominance that could shape global power.

He also urged multilateral cooperation to address global challenges, including pandemics, cybercrime, and investment uncertainty.

Despite the disorder in world politics, Brende highlighted the resilience of economies like those in the US, China, and India. He called for patient investment strategies and stronger international coordination to ensure that new technologies translate into sustainable prosperity.

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Mustafa Suleyman warns against building seemingly conscious AI

Mustafa Suleyman, CEO of Microsoft AI, argues that AI should be built for people, not to replace them. Growing belief in chatbot consciousness risks campaigns for AI rights and a needless struggle over personhood that distracts from human welfare.

Debates over true consciousness miss the urgent issue of convincing imitation. Seemingly conscious AI may speak fluently, recall interactions, claim experiences, and set goals that appear to exhibit agency. Capabilities are close, and the social effects will be real regardless of metaphysics.

People already form attachments to chatbots and seek meaning in conversations. Reports of dependency and talk of ‘AI psychosis‘ show persuasive systems can nudge vulnerable users. Extending moral status to uncertainty, Suleyman argues, would amplify delusions and dilute existing rights.

Norms and design principles are needed across the industry. Products should include engineered interruptions that break the illusion, clear statements of nonhuman status, and guardrails for responsible ‘personalities’. Microsoft AI is exploring approaches that promote offline connection and healthy use.

A positive vision keeps AI empowering without faking inner life. Companions should organise tasks, aid learning, and support collaboration while remaining transparently artificial. The focus remains on safeguarding humans, animals, and the natural world, not on granting rights to persuasive simulations.

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Live exploitation of CVE-2024-1086 across older Linux versions flagged by CISA

CISA’s warning serves as a reminder that ransomware is not confined to Windows. A Linux kernel flaw, CVE-2024-1086, is being exploited in real-world incidents, and federal networks face a November 20 patch-or-disable deadline. Businesses should read it as their cue, too.

Attackers who reach a vulnerable host can escalate privileges to root, bypass defences, and deploy malware. Many older kernels remain in circulation even though upstream fixes were shipped in January 2024, creating a soft target when paired with phishing and lateral movement.

Practical steps matter more than labels. Patch affected kernels where possible, isolate any components that cannot be updated, and verify the running versions against vendor advisories and the NIST catalogue. Treat emergency changes as production work, with change logs and checks.

Resilience buys time when updates lag. Enforce least privilege, require MFA for admin entry points, and segment crown-jewel services. Tune EDR to spot privilege-escalation behaviour and suspicious modules, then rehearse restores from offline, immutable backups.

Security habits shape outcomes as much as CVEs. Teams that patch quickly, validate fixes, and document closure shrink the blast radius. Teams that defer kernel maintenance invite repeat visits, turning a known bug into an avoidable outage.

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Brain-inspired networks boost AI performance and cut energy use

Researchers at the University of Surrey have developed a new method to enhance AI by imitating how the human brain connects information. The approach, called Topographical Sparse Mapping, links each artificial neuron only to nearby or related ones, replicating the brain’s efficient organisation.

According to findings published in Neurocomputing, the structure reduces redundant connections and improves performance without compromising accuracy. Senior lecturer Dr Roman Bauer said intelligent systems can now be designed to consume less energy while maintaining power.

Training large models today often requires over a million kilowatt-hours of electricity, a trend he described as unsustainable.

An advanced version, Enhanced Topographical Sparse Mapping, introduces a biologically inspired pruning process that refines neural connections during training, similar to how the brain learns.

Researchers believe that the system could contribute to more realistic neuromorphic computers, which simulate brain functions to process data more efficiently.

The Surrey team said that such a discovery may advance generative AI systems and pave the way for sustainable large-scale model training. Their work highlights how lessons from biology can shape the next generation of energy-efficient computing.

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Perplexity launches AI-powered patent search to make innovation intelligence accessible

The US software company, Perplexity, has unveiled Perplexity Patents, the first AI-powered patent research agent designed to democratise access to intellectual property intelligence. The new tool allows anyone to explore patents using natural language instead of complex keyword syntax.

Traditional patent research has long relied on rigid search systems that demand specialist knowledge and expensive software.

Perplexity Patents instead offers conversational interaction, enabling users to ask questions such as ‘Are there any patents on AI for language learning?’ or ‘Key quantum computing patents since 2024?’.

The system automatically identifies relevant patents, provides inline viewing, and maintains context across multiple questions.

Powered by Perplexity’s large-scale search infrastructure, the platform uses agentic reasoning to break down complex queries, perform multi-step searches, and return comprehensive results supported by extensive patent documentation.

Its semantic understanding also captures related concepts that traditional tools often miss, linking terms such as ‘fitness trackers’, ‘activity bands’, and ‘health monitoring wearables’.

Beyond patent databases, Perplexity Patents can also draw from academic papers, open-source code, and other publicly available data, revealing the entire landscape of technological innovation. The service launches today in beta, free for all users, with extra features for Pro and Max subscribers.

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