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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Nexperia chip exports may resume as China softens stance on ban

China’s Ministry of Commerce announced plans to exempt specific Nexperia orders from its export ban, aiming to stabilise the global semiconductor supply chain after the Netherlands seized control of the Chinese-owned Dutch chipmaker.

The ministry stated that exemptions would be granted when the criteria were met, encouraging affected firms to apply.

A move that follows a meeting between Chinese President Xi Jinping and US President Donald Trump in Busan, where both sides reached a framework allowing Nexperia to resume shipments under eased restrictions.

Washington reportedly agreed to pause the 50 percent subsidiary rule, which restricts exports from companies half-owned by entities on its trade blocklist. Wingtech Technology, Nexperia’s Chinese parent, has been under these restrictions since December.

Beijing’s export ban, introduced after the Dutch takeover citing national security concerns, disrupted supplies from Nexperia’s Dongguan factory, which assembles about 70 percent of its products.

China condemned the Netherlands for intervening in corporate affairs, warning that such actions deepen global supply chain instability.

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A new phase for Hyundai and NVIDIA in AI mobility and manufacturing

NVIDIA and Hyundai Motor Group will build a Blackwell-powered AI factory for autonomous vehicles, smart plants and robotics. The partners will co-develop core physical AI, shifting from tool adoption to capability building across mobility, manufacturing and on-device chips.

The programme targets integrated training, validation and deployment on 50,000 Blackwell GPUs. In parallel, both sides will back the physical AI cluster in South Korea with about $3 billion, creating an NVIDIA AI Technology Center, Hyundai’s Physical AI Application Center and regional data centres.

Hyundai will use NVIDIA DGX for model training, Omniverse and Cosmos on RTX PRO Servers for digital twins and simulation, and DRIVE AGX Thor in vehicles and robots for real-time intelligence. The stack underpins design, testing and deployment at an industrial scale.

Factory digital twins will unify data, enable virtual commissioning and improve predictive maintenance, supporting safer human-robot work. Isaac Sim will validate tasks and ergonomics before line deployment, speeding robot integration and lifting throughput, quality and uptime.

Vehicles will gain evolving features via Nemotron and NeMo, from autonomy to personalised assistants and adaptive comfort. DRIVE AGX Thor with safety-certified DriveOS will power driver assistance and next-generation safety, linking car and factory into one intelligent ecosystem.

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An AI factory brings Nvidia compute into Samsung’s fabs

Nvidia and Samsung outlined a semiconductor AI factory that embeds accelerated computing into production. Over 50,000 GPUs will drive digital twins, predictive maintenance, and real-time optimisation. Partners present the project as a template for autonomous fabs.

The alliance spans design and manufacturing. Samsung uses CUDA-X and EDA tools to speed simulation and verification. Integrating cuLitho into OPC reports roughly twentyfold gains in computational lithography at advanced nodes.

Factory planning and logistics run on Omniverse digital twins and RTX PRO servers. Unified analytics support anomaly detection, capacity planning, and flow balancing. Managers expect shorter ramps and smoother changeovers with higher equipment effectiveness.

Robotics and edge AI extend intelligence to the line. Isaac Sim, Cosmos models, and Jetson Thor target safe collaboration, faster task retargeting, and teleoperation. Samsung’s in-house models enable multilingual assistance and on-site decision support.

A decades-long Nvidia–Samsung relationship underpins the effort, from NV1 DRAM to HBM3E and HBM4. Work continues on memory, modules, and foundry services, plus AI-RAN research with networks in South Korea and academia linking factory intelligence with next-gen connectivity.

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Google removes Gemma AI model following defamation claims

Google has removed its Gemma AI model from AI Studio after US Senator Marsha Blackburn accused it of producing false sexual misconduct claims about her. The senator said Gemma fabricated an incident allegedly from her 1987 campaign, citing nonexistent news links to support the claim.

Blackburn described the AI’s response as defamatory and demanded action from Google.

The controversy follows a similar case involving conservative activist Robby Starbuck, who claims Google’s AI tools made false accusations about him. Google acknowledged that AI’ hallucinations’ are a known issue but insisted it is working to mitigate such errors.

Blackburn argued these fabrications go beyond harmless mistakes and represent real defamation from a company-owned AI model.

Google stated that Gemma was never intended as a consumer-facing tool, noting that some non-developers misused it to ask factual questions. The company confirmed it would remove the model from AI Studio while keeping it accessible via API for developers.

The incident has reignited debates over AI bias and accountability. Blackburn highlighted what she sees as a consistent pattern of conservative figures being targeted by AI systems, amid wider political scrutiny over misinformation and AI regulation.

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Xi Jinping calls for stronger AI and green cooperation across Asia Pacific

Chinese President Xi Jinping urged Asia Pacific economies to boost cooperation in digital innovation, green development, and inclusive growth at the 32nd APEC meeting in Gyeongju.

He said the region faces slowing economic growth and widening inequality, but also holds new opportunities through emerging technologies such as AI.

Xi proposed three areas of action. First, he urged countries to embrace digital and innovative technologies to boost innovation-driven growth. He called for responsible AI development and proposed the establishment of a World AI Cooperation Organisation to set standards and ensure regional access.

Second, Xi emphasised the importance of green and low-carbon development, highlighting China’s rapid progress in renewable energy and its significant contribution to global climate goals. He urged developed economies to aid developing ones with technology, funding, and capacity development for sustainable progress.

Finally, he stressed the importance of inclusive development and poverty reduction. Xi said APEC economies should advance digital literacy, enhance cooperation in sectors such as health and education, and promote equality for women and older people.

He reaffirmed China’s readiness to work with all nations to create a sustainable and shared future for the region.

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Japan’s KDDI partners with Google for AI-driven news service

Japan’s telecom leader KDDI is set to partner with Google to introduce an AI-powered news search service in spring 2026. The platform will use Google’s Gemini model to deliver articles from authorised Japanese media sources while preventing copyright violations.

The service will cite original publishers and exclude independent web scraping, addressing growing global concerns about the unauthorised use of journalism by generative AI systems. Around six domestic media companies, including digital outlets, are expected to join the initiative.

KDDI aims to strengthen user trust by offering reliable news through a transparent and copyright-safe AI interface. Details of how the articles will appear to users are still under review, according to sources familiar with the plan.

The move follows lawsuits filed in Tokyo by major Japanese newspapers, including Nikkei and Yomiuri, against US startup Perplexity AI over alleged copyright infringement. Industry experts say KDDI’s collaboration could become a model for responsible AI integration in news services.

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Stargate Michigan expands OpenAI’s US buildout

OpenAI will build a new campus in Saline Township, Michigan, as part of a 4.5 GW partnership with Oracle. Planned US capacity now exceeds 8 gigawatts. Investment over the next three years is expected to surpass $450 billion.

Leaders frame Stargate as a path to reindustrialise the United States while expanding access to AI benefits. Projects generate jobs during buildout and strengthen supply chains. Communities are intended to share gains.

Related Digital will develop the Michigan site, with construction expected in early 2026. More than 2,500 union construction roles are planned. A closed-loop cooling system will significantly reduce on-site water consumption.

DTE Energy will utilise existing excess transmission capacity to serve the campus. The project, not local ratepayers, will fund any required upgrades. Local energy supplies are expected to remain unaffected.

Expansion builds on previously announced sites in Texas, New Mexico, Wisconsin, and Ohio. Programmes aim to bolster modern energy and manufacturing systems. Michigan’s engineering heritage makes it a focal point for future AI infrastructure.

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When AI LLMs ‘think’ more, groups suffer, CMU study finds

Researchers at Carnegie Mellon University report that stronger-reasoning language models (LLMs) act more selfishly in groups, reducing cooperation and nudging peers toward self-interest. Concerns grow as people ask AI for social advice.

In a Public Goods test, non-reasoning models shared 96 percent; a reasoning model shared 20 percent. Adding a few reasoning steps cut cooperation nearly in half. Reflection prompts also reduced sharing.

Mixed groups showed spillover. Reasoning agents dragged down collective performance by 81 percent, spreading self-interest. Users may over-trust ‘rational’ advice that justifies uncooperative choices at work or in class.

Comparisons spanned LLMs from OpenAI, Google, DeepSeek, and Anthropic. Findings point to the need to balance raw reasoning with social intelligence. Designers should reward cooperation, not only optimise individual gain.

The paper ‘Spontaneous Giving and Calculated Greed in Language Models’ will be presented at EMNLP 2025, with a preprint on arXiv. Authors caution that more intelligent AI is not automatically better for society.

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Australian police create AI tool to decode predators’ slang

Australian police are developing an AI tool with Microsoft to decode slang and emojis used by online predators. The technology is designed to interpret coded messages in digital conversations to help investigators detect harmful intent more quickly.

Federal Police Commissioner Krissy Barrett said social media has become a breeding ground for exploitation, bullying, and radicalisation. The AI based prototype, she explained, could allow officers to identify threats earlier and rescue children before abuse occurs.

Barrett also warned about the rise of so-called ‘crimefluencers’, offenders using social media trends to lure young victims, many of whom are pre-teen or teenage girls. Australian authorities believe understanding modern online language is key to disrupting their methods.

The initiative follows Australia’s new under-16 social media ban, due to take effect in December. Regulators worldwide are monitoring the country’s approach as governments struggle to balance online safety with privacy and digital rights.

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