Portugal has announced a €400 million investment in AI over the period 2026-2030, primarily funded by European programmes. The National Artificial Intelligence Agenda (ANIA) and its Action Plan (PAANIA) aim to strengthen Portugal’s position in AI research, industry, and innovation.
The government predicts AI could boost the country’s GDP by €18-22 billion in the next decade. Officials highlight Portugal’s growing technical talent pool, strong universities and research centres, renewable energy infrastructure, and a dynamic start-up ecosystem as key advantages.
Key projects include establishing AI gigafactories and supercomputing facilities to support research, SMEs, and start-ups, alongside a National Data Centre Plan aimed to simplifying licensing and accelerating the sector.
Early investments of €10 million target AI applications in public administration, with a total of €25 million planned.
Sectoral AI Centres will focus on healthcare and industrial robotics, leveraging AI to enhance patient care, improve efficiency, and support productivity, competitiveness, and the creation of skilled jobs.
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Netomi has developed a blueprint for scaling enterprise AI, utilising GPT-4.1 for rapid tool use and GPT-5.2 for multi-step reasoning. The platform supports complex workflows, policy compliance, and heavy operational loads, serving clients such as United Airlines and DraftKings.
The company emphasises three core lessons. First, systems must handle real-world complexity, orchestrating multiple APIs, databases, and tools to maintain state and situational awareness across multi-step workflows.
Second, parallelised architectures ensure low latency even under extreme demand, keeping response times fast and reliable during spikes in activity.
Third, governance is embedded directly into the runtime, enforcing compliance, protecting sensitive data, and providing deterministic fallbacks when AI confidence is low.
Netomi demonstrates how agentic AI can be safely scaled, providing enterprises with a model for auditable, predictable, and resilient intelligent systems. These practices serve as a roadmap for organisations seeking to move AI from experimental tools to production-ready infrastructure.
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Around $500 million in bonds issued by Telegram remain frozen within Russia’s financial settlement system following the application of international sanctions.
The situation reflects how global regulatory measures can continue to affect corporate assets even when companies operate across multiple jurisdictions.
According to reports, the frozen bonds were issued in 2021 and are held at Russia’s National Settlement Depository.
Telegram said its more recent $1.7 billion bond issuance in 2025 involved international investors, with no participation from Russian capital, and was purchased mainly by institutional funds based outside Russia.
Telegram stated that bond repayments follow established international procedures through intermediaries, meaning payment obligations are fulfilled regardless of whether individual bondholders face restrictions.
Financial results for 2025 also showed losses, linked in part to a decline in cryptocurrency valuations, which reflected broader market conditions rather than company-specific factors.
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Researchers at the University of Wyoming in the US have developed an AI model that predicts the risk of congestive heart failure in cattle using heart images. The technology focuses on structural changes linked to pulmonary hypertension.
Developed by PhD researcher Chase Markel, the computer vision system was trained on nearly 7,000 manually scored images. The model correctly classifies heart risk levels in 92 percent of cases.
The images were collected in commercial cattle processing plants, allowing assessment at scale after slaughter. The findings support the need for improved traceability throughout the production cycle.
Industry use could enhance traceability and mitigate economic losses resulting from undetected disease. Patent protection is being pursued as further models are developed for other cattle conditions.
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A GP practice in North Lincolnshire, UK, has introduced an AI receptionist named Emma to reduce long wait times on calls. Emma collects patient details and prioritises appointments for doctors to review.
Doctors say the system has improved efficiency, with most patients contacted within hours. Dr Satpal Shekhawat explained that the information from Emma helps identify clinical priorities effectively.
Some patients reported issues, including mistakes with dates of birth and difficulties explaining health problems. The practice reassured patients that human receptionists remain available and that the AI supports staff rather than replacing them.
The technology has drawn attention from other practices in the region. NHS officials are monitoring feedback to refine the system and improve patient experience.
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The US Social Security Administration has ended the routine issuance of paper benefit cheques in favour of electronic payments after a 30 September federal deadline. Electronic methods such as direct deposit or prepaid cards are now standard for most beneficiaries.
US officials say the shift speeds up payment delivery and strengthens security since electronic payments are less likely to be lost or stolen than mailed cheques. The move also aims to help reduce federal costs and fraud risks.
A small number of recipients can still receive paper cheques if they qualify for an exemption by showing they lack access to banking services or digital payment systems. People must contact Treasury to request a waiver.
SSA urges beneficiaries to set up or confirm direct deposit details through their online account or use a prepaid card to avoid delays. Recipients without bank accounts are encouraged to enrol for secure electronic options.
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Sedgwick has confirmed a data breach at its government-focused subsidiary after the TridentLocker ransomware group claimed responsibility for stealing 3.4 gigabytes of data. The incident underscores growing threats to federal contractors handling sensitive US agency information.
The company said the breach affected only an isolated file transfer system used by Sedgwick Government Solutions, which serves agencies such as DHS, ICE, and CISA. Segmentation reportedly prevented any impact on wider corporate systems or ongoing client operations.
TridentLocker, a ransomware-as-a-service group that appeared in late 2025, listed Sedgwick Government Solutions on its dark web leak site and posted samples of stolen documents. The gang is known for double-extortion tactics, combining data encryption and public exposure threats.
Sedgwick has informed US law enforcement and affected clients while continuing to investigate with external cybersecurity experts. The firm emphasised operational continuity and noted no evidence of intrusion into its claims management servers.
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Ford has unveiled plans for an AI assistant that will launch in its smartphone app in early 2026 before expanding to in-vehicle systems in 2027. The announcement was made at the 2026 Consumer Electronics Show, alongside a preview of a next-generation BlueCruise driver assistance system.
The AI assistant will be hosted on Google Cloud and built using existing large language models, with access to vehicle-specific data. Ford said this will allow users to ask both general questions, such as vehicle capacity, and real-time queries, including oil life and maintenance status.
Ford plans to introduce the assistant first through its redesigned mobile app, with native integration into vehicles scheduled for 2027. The company has not yet specified which models will receive the in-car version first, but said the rollout would expand gradually across its lineup.
Alongside the AI assistant, the vehicle manufacturer previewed an updated version of its BlueCruise system, which it claims will be more affordable to produce and more capable. The new system is expected to debut in 2027 on the first electric vehicle built on Ford’s low-cost Universal Electric Vehicle platform.
Ford said the next-generation BlueCruise could support eyes-off driving by 2028 and enable point-to-point autonomous driving under driver supervision. As with similar systems from other automakers, drivers will still be required to remain ready to take control at any time.
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Stanford Medicine researchers have developed an AI model that can analyse a single night of sleep to predict long-term disease risk. Known as SleepFM, the system uses physiological signals recorded during overnight sleep studies to identify early indicators of future health conditions.
The model was trained on nearly 600,000 hours of polysomnography data from 65,000 participants. Polysomnography captures brain activity, heart rhythms, breathing patterns, eye movements, and muscle signals, creating one of the most data-rich assessments used in medicine.
SleepFM was designed as a foundation model that learns how multiple biological signals interact during sleep. By reconstructing missing data streams, the system identifies patterns across different physiological systems rather than analysing signals in isolation.
After training, the model matched or outperformed existing tools in standard sleep data assessments, including sleep stage classification and sleep apnoea severity. Researchers then linked sleep data with long-term health records to evaluate its ability to predict future disease onset.
The model demonstrated strong predictive performance across 130 conditions, encompassing various diseases, including cancers, cardiovascular disease, and neurological disorders. Researchers say the findings position sleep data as an early warning signal, while further work will focus on interpretation and real-world clinical use.
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Identical twins were briefly delayed at Mumbai airport after Digi Yatra facial recognition failed to distinguish between them. The incident occurred during automated entry at Chhatrapati Shivaji Maharaj International Airport.
Mumbai airport staff stepped in quickly, carrying out manual identity checks using physical documents. Both passengers were cleared to travel without missing their flight.
Digi Yatra officials stated that such mismatches are rare and can occur in cases of identical twins. Passengers always retain the option of conventional ID-based verification.
The episode has renewed debate around biometric reliability and the need for human oversight. Experts stress technology must support, not replace, assisted passenger checks.
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