OpenAI has launched ChatGPT for Teachers, offering US US educators a secure workspace to plan lessons and utilise AI safely. The service is free for verified K–12 staff until June 2027. OpenAI states that its goal is to support classroom tasks without introducing data risks.
Educators can tailor responses by specifying grades, curriculum needs, and preferred formats. Content shared in the workspace is not used to train models by default. The platform includes GPT-5.1 Auto, search, file uploads, and image tools.
The system integrates with widely used school software, including Google Drive, Microsoft 365, and Canva. Teachers can import documents, design presentations, and organise materials in one place. Shared prompt libraries offer examples from other educators.
Collaboration features enable co-planned lessons, shared templates, and school-specific GPTs. OpenAI says these tools aim to reduce administrative workloads. Schools can create collective workspaces to coordinate teaching resources more easily.
The service remains free through June 2027, with pricing updates to follow later. OpenAI plans to keep costs accessible for schools. Educators can begin using the platform by verifying their status through SheerID.
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Deepfake abuse is accelerating across India as AI tools make it easy to fabricate convincing videos and images. Researchers warn that manipulated media now fuels fraud, political disinformation and targeted harassment. Public awareness often lags behind the pace of generative technology.
Recent cases involving Ranveer Singh and Aamir Khan showed how synthetic political endorsements can spread rapidly online. Investigators say cloned voices and fabricated footage circulated widely during election periods. Rights groups warn that such incidents undermine trust in media and public institutions.
Women face rising risks from non-consensual deepfakes used for harassment, blackmail and intimidation. Cases involving Rashmika Mandanna and Girija Oak intensified calls for stronger protections. Victims report significant emotional harm as edited images spread online.
Security analysts warn that deepfakes pose growing risks to privacy, dignity and personal safety. Users can watch for cues such as uneven lighting, distorted edges, or overly clean audio. Experts also advise limiting the sharing of media and using strong passwords and privacy controls.
Digital safety groups urge people to avoid engaging with manipulated content and to report suspected abuse promptly. Awareness and early detection remain critical as cases continue to rise. Policymakers are being encouraged to expand safeguards and invest in public education on emerging risks associated with AI.
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Holiday shoppers can now rely on AI to make Black Friday and Cyber Monday less stressful. AI tools help track prices across multiple retailers and notify users when items fall within their budget, saving hours of online searching.
Finding gifts for difficult-to-shop-for friends and family is also easier with AI. By describing a person’s interests or lifestyle, shoppers receive curated recommendations with product details, reviews, and availability, drawing from billions of listings in Google’s Shopping Graph.
Local shopping is more convenient thanks to AI features that enhance the shopping experience. Shoppers can check stock at nearby stores without having to call around, and virtual try-on technology allows users to see how clothing looks on them before making a purchase.
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AI-driven fraud schemes are on the rise across the US health system, exposing older adults to increasing financial and personal risks. Officials say tens of billions in losses have already been uncovered this year. High medical use and limited digital literacy leave seniors particularly vulnerable.
Criminals rely on schemes such as phantom billing, upcoding and identity theft using Medicare numbers. Fraud spans home health, hospice care and medical equipment services. Authorities warn that the ageing population will deepen exposure and increase long-term harm.
AI has made scams harder to detect by enabling cloned voices, deepfakes and convincing documents. The tools help impersonate providers and personalise attacks at scale. Even cautious seniors may struggle to recognise false calls or messages.
Investigators are also using AI to counter fraud by spotting abnormal billing, scanning records for inconsistencies and flagging high-risk providers. Cross-checking data across clinics and pharmacies helps identify duplicate claims. Automated prompts can alert users to suspicious contacts.
Experts urge seniors to monitor statements, ignore unsolicited calls and avoid clicking unfamiliar links. They should verify official numbers, protect Medicare details and use strong login security. Suspicious activity should be reported to Medicare or to local fraud response teams.
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Google says Europe faces a pivotal moment as AI reshapes global competitiveness, arguing that the region has the talent to lead the way. It points to growing demand for tools that help businesses innovate and expand. Startups like Idoven are highlighted as examples of Europe’s emerging strengths.
Google highlights its long-standing partnership with Europe, pointing to significant investments in infrastructure, security, and research. It has more than 40 offices and 31,000 staff across the region. DeepMind’s scientific advances, including broad use of AlphaFold, remain central to that work.
Despite this foundation, Google warns that Europe risks falling behind other regions without faster access to advanced AI models.
Only 14% of European companies currently utilise AI, which is significantly lower than the adoption rates in China and the United States. Google says outdated technology limits competitiveness across sectors.
Regulatory complexity is another concern, with more than 100 digital rules introduced since 2019. Google supports regulation but notes that abrupt changes and overlapping requirements can slow product launches and hinder smaller developers. The company calls for more straightforward, more explicit rules that avoid penalising innovation.
Google argues that Europe must also expand AI skills, from technical expertise to leadership and workforce readiness. It cites a decade of training initiatives that helped 15 million Europeans gain digital skills. With the right tools and support, Google says Europe could unlock €1.2 trillion in economic value.
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LG AI Research and LSEG have launched an AI forecasting tool that scores around 5,000 NYSE stocks daily. It combines LSEG’s financial data with LG’s EXAONE model. The service was presented to Korean financial institutions in Seoul.
The AI Equity Forecasting Score provides a numeric outlook and a short explanation for each stock. It analyses structured market data and unstructured filings and news. LG says this improves transparency in automated research.
LSEG says the partnership combines its global data infrastructure with LG’s modelling capabilities. According to LG, the system can uncover patterns that traditional analysis often misses. Daily scores and weekly commentary are already available.
Pilot testing is underway in the US, Europe, Japan and Korea. Analysts say wider adoption will depend on clear performance metrics and independent validation. They also note the lack of disclosure on trading frictions.
LG plans to expand the service to more markets and add tools for portfolio construction and commodities. Deeper integration with LSEG’s APIs is also being explored. LG describes the system as a daily, automated investment memo.
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Researchers have introduced a biology foundation model that can recognise over a million species and understand relationships across the animal and plant kingdoms.
BioCLIP 2 was trained on one of the most extensive biological datasets ever compiled, allowing it to identify traits, cluster organisms and reveal patterns that support conservation efforts.
A model that relies on NVIDIA accelerated computing instead of traditional methods and demonstrates what large-scale biological learning can achieve.
Training drew on more than two hundred million images that cover hundreds of thousands of taxonomic classes. The AI model learned how species fit within wider biological hierarchies and how traits differ across age, gender and related groups without explicit guidance.
It even separated diseased leaves from healthy samples, offering a route to improved monitoring of ecosystems and agricultural resilience.
Scientists now plan to expand the project by utilising wildlife digital twins that simulate ecological systems in controlled environments.
Researchers will be able to study species interactions and test scenarios instead of disturbing natural habitats. The approach opens possibilities for richer ecological research and could offer the public immersive ways to view biodiversity from the perspective of different animals.
BioCLIP 2 is available as open-source software and has already attracted strong global interest. Its capabilities indicate a shift toward more advanced biological modelling powered by accelerated computing, providing conservationists and educators with new tools to address long-standing knowledge gaps.
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Armenia’s ambassador, Narek Mkrtchyan, has met senior Apple representatives in Cupertino to discuss expanding the company’s activities in the country. The visit included talks with Jason Lundgaard, Apple’s senior director for international cooperation at corporate government affairs.
The ambassador outlined the Armenia–US memorandum on AI and semiconductor cooperation signed on 8 August and highlighted Armenia’s technology ecosystem and investment potential. Both sides explored areas for collaboration and the conditions under which Apple could expand its presence.
Apple plans to send a delegation to Armenia in the coming period to assess opportunities for growth and engagement with local institutions. The discussions signalled early steps toward a more structured partnership.
During the meeting, the ambassador thanked Mr Lundgaard for supporting the launch of Apple’s first educational programme at the Armenian College of Creative Technologies. The initiative forms part of a wider effort to strengthen skills development in Armenia’s digital sector.
Both sides reiterated their commitment to deepen cooperation and expand the educational partnership as Armenia positions itself as a regional hub for advanced technologies.
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A Lund University study shows an AI assistant can assess psychiatric conditions more accurately than standard mental health rating scales. In a study of 303 participants, the AI assistant Alba gave DSM-based diagnoses, outperforming standard tools in eight of nine disorders.
The study included conditions such as depression, anxiety, OCD, PTSD, ADHD, autism, eating disorders, substance use disorder and bipolar disorder.
Alba proved particularly effective at distinguishing overlapping conditions where traditional rating scales often yield similar results. Participants also reported positive experiences with the AI interview, describing it as empathic, supportive and engaging.
Researchers highlighted that AI-assisted interviews could serve as a scalable, person-centred tool to complement clinical assessments while preserving the clinician’s essential role.
The study advances digital mental health tools, with Alba analysing the full DSM-5 manual instead of individual disorders. Talk To Alba offers AI-powered clinical interviews, CBT support, DSM-5-based diagnosis, and consultation transcription.
Experts emphasise that such AI solutions can ease healthcare workloads, provide preliminary assessments, and maintain high diagnostic reliability without replacing mental health professionals.
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The rapid expansion of AI data centres is pushing up memory chip prices and straining an already tight supply chain. DRAM costs are rising as manufacturers prioritise high-bandwidth memory for AI systems, leaving fewer components available for consumer devices.
The shift is squeezing supply across sectors that depend on standard DRAM, from PCs and smartphones to cars and medical equipment. Analysts say the imbalance is driving up component prices quickly, with Samsung reportedly raising some memory prices by as much as 60%.
Rising demand for HBM reflects the needs of AI clusters, which rely on vast memory pools alongside GPUs, CPUs and storage. But with only a handful of major suppliers, including Samsung, SK Hynix, and Micron, the surge is pushing prices across the market higher.
Industry researchers warn that rising memory costs will likely be passed on to consumers, especially in lower-priced laptops and embedded systems. Makers may switch to cheaper parts or push suppliers for concessions, but the overall price trend remains upward.
While memory is known for cyclical booms and busts, analysts say the global race to build AI data centres makes it difficult to predict when supply will stabilise. Until then, higher memory prices look set to remain a feature of the market.
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