ai

Yahoo launches AI-powered search Scout

Yahoo has introduced Scout, a new AI-powered search engine designed to compete with Google AI Mode and Perplexity. The tool transforms traditional search results into direct answers, interpreting natural language queries with the help of Yahoo’s extensive user data and content.

Scout combines the Claude AI model from Anthropic with Bing’s grounding API to ensure information is accurate and drawn from authoritative sources. Users can access personalised insights, whether checking the weather, tracking stock prices, or verifying news stories.

The platform also includes shopping and finance features, offering quick comparisons between products and synthesised financial information refreshed every ten minutes. Currently in beta, Yahoo Scout is available to US users via the Yahoo Search app and website, with plans to expand its personalisation features.

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Job cuts signal Pinterest’s deeper shift toward AI-powered products

Pinterest is cutting under 15% of its workforce as part of a broader restructuring aimed at shifting more investment toward AI-driven products and roles.

In a regulatory filing, the company said the changes are designed to support transformation initiatives, including reallocating resources to AI-focused teams and reshaping its sales and go-to-market strategy.

The restructuring will also include reductions in office space, with completion targeted for the end of September and expected pre-tax charges ranging from $35 million to $45 million.

Pinterest had around 5,200 employees at the end of last year, meaning the layoffs will affect several hundred staff as the platform accelerates its AI integration.

Recent launches such as AI-powered board updates and the Pinterest Assistant shopping tool reflect a wider trend across the tech sector, where companies are trimming headcount while expanding AI investment.

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UK AI and coding school expands to Dubai

A UK-based AI and coding educator, The School of Coding and AI, has announced plans to open a £3 million campus in Dubai Media City, marking its expansion into the Middle East. The new site is scheduled to open in March, with student enrolment beginning in May, and will welcome learners from the UAE and international markets.

The expansion reflects the school’s ambition to become a global player in AI and computer science education, with the Gulf region identified as a key growth market. The move is supported by the UK Department for Business and Trade and aligns with wider efforts to strengthen UK–UAE cooperation in technology, education, and skills development.

The Dubai campus will offer flexible programmes in AI, computer science, and digital skills, aiming to upskill around 2,000 students and provide pathways to higher education. The initiative is intended to respond to growing regional demand for innovation-driven training and advanced digital capabilities.

The expansion of the School of Coding and AI underscores the growing importance of education exports and skills development in meeting global demand for AI talent.

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Anthropic CEO warns of civilisation-level AI risk

Anthropic chief executive Dario Amodei has issued a stark warning that superhuman AI could inflict civilisation-level damage unless governments and industry act far more quickly and seriously.

In a forthcoming essay, Amodei argues humanity is approaching a critical transition that will test whether political, social and technological systems are mature enough to handle unprecedented power.

Amodei believes AI systems will soon outperform humans across nearly every field, describing a future ‘country of geniuses in a data centre’ capable of autonomous and continuous creation.

He warns that such systems could rival nation-states in influence, accelerating economic disruption while placing extraordinary power in the hands of a small number of actors.

Among the gravest dangers, Amodei highlights mass displacement of white-collar jobs, rising biological security risks and the empowerment of authoritarian governments through advanced surveillance and control.

He also cautions that AI companies themselves pose systemic risks due to their control over frontier models, infrastructure and user attention at a global scale.

Despite the severity of his concerns, Amodei maintains cautious optimism, arguing that meaningful governance, transparency and public engagement could still steer AI development towards beneficial outcomes.

Without urgent action, however, he warns that financial incentives and political complacency may override restraint during the most consequential technological shift humanity has faced.

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New AI model detects wide range of health risks via sleep analysis

Recent research indicates that AI applied to sleep pattern analysis can identify signals linked to over 130 health conditions, including heart disease, metabolic dysfunction and respiratory issues, from a single night’s sleep record.

By using machine learning to analyse detailed physiological data collected during sleep, AI models may reveal subtle patterns that correlate with existing or future health risks.

Proponents suggest that this technology could support early detection and preventative healthcare by offering a non-invasive way to screen for multiple conditions simultaneously, potentially guiding timely medical intervention.

However, clinicians stress that such AI tools should complement, not replace, formal medical evaluation and diagnosis.

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AI and robots join forces in NHS trial to improve cancer diagnosis

The NHS England has launched an innovative pilot project that uses AI software to rapidly analyse lung scans and flag suspect nodules, followed by a robotic bronchoscopy system that can reach deep lung spots previously hard to biopsy.

This approach could replace weeks of repeat scans and invasive procedures with a single targeted session, helping doctors diagnose or rule out cancer sooner.

The project, led at Guy’s and St Thomas’ NHS Foundation Trust, aims to support expanded national lung screening programmes and reduce health outcome inequalities by detecting cancers at an earlier, more treatable stage.

Officials describe the technology as a ‘glimpse of the future’ of cancer detection, while pilots will gather evidence on effectiveness and safety before wider rollout.

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Meteorological authorities in China embrace AI for next-gen climate risk prediction

At a national meteorological work conference, the China Meteorological Administration said it will pilot an ‘imminent warning’ system and apply AI technologies to enhance detailed forecasts for extreme weather, including typhoons and heavy rain.

The initiative is part of a broader effort in 2026 to build new meteorological service systems, such as for agriculture, and improve disaster preparedness and climate risk management across the country.

Officials highlighted progress over the past year, including improved flood-season forecasting and reduced typhoon track-prediction errors. Strengthened interagency coordination and the development of new prediction products aim to support earlier warnings and better resource allocation for extreme climate events.

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Audi dramatically transforms AI-driven smart factories

Audi is expanding the use of AI in production and logistics by replacing local factory computers with a central cloud platform. The Edge Cloud 4 Production enables flexible, networked automation while reducing hardware needs, maintenance costs, and improving IT security.

AI applications are being deployed to improve efficiency, quality, and employee support. AI-controlled robots are taking over physically demanding tasks, cloud-based systems provide real-time worker guidance, and vision-based solutions detect defects and anomalies early in the production process.

Data-driven platforms such as the P-Data Engine and ProcessGuardAIn allow Audi to monitor manufacturing processes in real time using machine and sensor data. These tools support early fault detection, reduce follow-up costs, and form the basis for predictive maintenance and scalable quality assurance across plants.

Audi is also extending automation to complex production areas that have traditionally relied on manual work, including wiring loom manufacturing and installation. In parallel, the company is working with technology firms and research institutions such as IPAI Heilbronn to accelerate innovation, scale AI solutions, and ensure the responsible use of AI across its global production network.

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AI reshapes university language classrooms

Universities are increasingly integrating AI into foreign language teaching as lecturers search for more flexible and personalised learning methods. AI-powered tools are being used to generate teaching materials, adapt content to student needs and expand practice beyond classroom limits.

Despite growing interest, adoption among language lecturers remains uneven across higher education. Studies suggest AI-supported learning can improve student motivation by offering personalised feedback and judgment-free speaking practice.

Educators highlight the value of AI for supporting curriculum and creating resources, particularly for less commonly taught languages. Tools can generate targeted dialogues, simplified texts and pronunciation feedback that would otherwise require significant manual effort.

Human interaction, however, remains central to effective language learning. Lecturers stress that AI works best as a supplement, enhancing teaching quality without replacing real-world communication and pedagogical expertise.

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Snap faces new AI training lawsuit in California

A group of YouTubers has filed a copyright lawsuit against Snap in the US, alleging their videos were used to train AI systems without permission. The case was lodged in a federal court in California and targets AI features used within Snapchat.

The creators claim that Snap relied on large-scale video-language datasets intended initially for academic research. According to the filing in California, access to the material required bypassing YouTube safeguards and license restrictions on commercial use.

The lawsuit in the US seeks statutory damages and a permanent injunction to block further use of the content. The case is led by creators behind the h3h3 channel, alongside two smaller US-based golf channels.

The action adds Snap to a growing list of tech companies facing similar claims in the US. Courts in California and elsewhere continue to weigh how copyright law applies to AI training practices.

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