Google urges users to update Chrome after V8 flaw patched

Google has patched a high-severity flaw in its Chrome browser with the release of version 139, addressing vulnerability CVE-2025-9132 in the V8 JavaScript engine.

The out-of-bounds write issue was discovered by Big Sleep AI, a tool built by Google DeepMind and Project Zero to automate vulnerability detection in real-world software.

Chrome 139 updates (Windows/macOS: 139.0.7258.138/.139, Linux: 139.0.7258.138) are now rolling out to users. Google has not confirmed whether the flaw is being actively exploited.

Users are strongly advised to install the latest update to ensure protection, as V8 powers both JavaScript and WebAssembly within Chrome.

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Google prepares Duolingo rival using Translate

Google Translate may soon evolve into a full-featured language learning tool, introducing AI-powered lessons rivalling apps like Duolingo.

The latest Translate app release recently uncovered a hidden feature called Practice. It enables users to take part in interactive learning scenarios.

Early tests allow learners to choose languages such as Spanish and French, then engage with situational exercises from beginner to advanced levels.

The tool personalises lessons using AI, adapting difficulty and content based on a user’s goals, such as preparing for specific trips.

Users can track progress, receive daily practice reminders, and customise prompts for listening and speaking drills through a dedicated settings panel.

The feature resembles gamified learning apps and may join Google’s premium AI offerings, though pricing and launch plans remain unconfirmed.

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Study finds chain-of-thought reasoning in LLMs is a brittle mirage

A new study from Arizona State University researchers suggests that chain-of-thought reasoning in large language models (LLMs) is closer to pattern matching than accurate logical inference. The findings challenge assumptions about human-like intelligence in these systems.

The researchers used a data distribution lens to examine where chain-of-thought fails, testing models on new tasks, different reasoning lengths, and altered prompt formats. Across all cases, performance degraded sharply outside familiar training structures.

Their framework, DataAlchemy, showed that models replicate training patterns rather than reason abstractly. Failures could be patched quickly through fine-tuning on small new datasets, but this reinforced the pattern-matching theory.

The paper warns developers against relying on chain-of-thought reasoning for high-stakes domains, emphasising the risks of fluent but flawed rationale. It urges practitioners to implement rigorous out-of-distribution testing and treat fine-tuning as a limited patch.

The researchers argue that applications can remain effective for enterprise use by systematically mapping a model’s boundaries and aligning them with predictable tasks. Targeted fine-tuning then becomes a tool for precision rather than broad generalisation.

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Zoom launches AI Virtual Agent to replace human receptionists

Zoom has unveiled its Virtual Agent for Zoom Phone, a 24/7 AI concierge designed to replace or support human receptionists. The tool can greet callers naturally, process requests, and initiate next steps without human intervention, aiming to reduce missed calls and waiting times.

The AI agent is initially available in English, Spanish, French, German, Portuguese, and Japanese, with more languages planned.

Companies can set up the system without coding expertise by training it with existing documents or company websites, allowing for a faster, personalised, and scalable customer experience.

Zoom highlighted use cases across sectors, including booking appointments in healthcare, checking stock and answering retail product queries, and providing financial service updates. The Virtual Agent promises to handle these tasks autonomously, giving businesses greater efficiency and flexibility.

In addition, Zoom has enhanced its AI Companion tool to manage meeting scheduling. The agent can coordinate invites, track responses, and suggest alternatives, freeing teams to focus on discussions rather than logistics.

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Study finds AI-generated responses flooding research platforms

Online questionnaires are being increasingly swamped by AI-generated responses, raising concerns that a vital data source for researchers is becoming polluted. Platforms like Prolific, which pay participants to answer questions, are widely used in behavioural studies.

Researchers at the Max Planck Institute noticed suspicious patterns in their work and began investigating. They found that nearly half of the respondents copied and pasted answers, strongly suggesting that many were outsourcing tasks to AI chatbots.

Analysis showed clear giveaways, including overly verbose and distinctly non-human language. The researchers concluded that a substantial proportion of behavioural studies may already be compromised by chatbot-generated content.

In follow-up tests, they set traps to detect AI use, including invisible text instructions and restrictions on copy-paste. The measures caught a further share of participants, highlighting the scale of the challenge facing online research platforms.

Experts say the responsibility lies with both researchers and platforms. Stronger verification methods and tighter controls are needed for online behavioural research to remain credible.

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Pakistan launches national AI innovation competition

Pakistan’s Ministry of Planning, Development, and Special Initiatives has launched a national innovation competition to drive the development of AI solutions in priority sectors. The initiative aims to attract top talent to develop impactful health, education, agriculture, industry, and governance projects.

Minister Ahsan Iqbal said AI is no longer a distant prospect but a present reality that is already transforming economies. He described the competition as a milestone in Pakistan’s digital history and urged the nation to embrace AI’s global momentum.

Iqbal stressed that algorithms now shape decisions more than traditional markets, warning that technological dependence must be avoided. Pakistan, he argued, must actively participate in the AI revolution or risk being left behind by more advanced economies.

He highlighted AI’s potential to predict crop diseases, aid doctors in diagnosis, and deliver quality education to every child nationwide. He said Pakistan will not be a bystander but an emerging leader in shaping the digital future.

The government has begun integrating AI into curricula and expanding capacity-building initiatives. Officials expect the competition to unlock new opportunities for innovation, empowering youth and driving sustainable development across the country.

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Gamescom showcases EU support for cultural and digital innovation

The European Commission will convene video game professionals in Cologne for the third consecutive year on August 20 and 21. The visit aims to follow developments in the industry, present the future EU budget, and outline opportunities under the upcoming AgoraEU programme.

EU Officials will also discuss AI adoption, new investment opportunities, and ways to protect minors in gaming. Renate Nikolay, Deputy Director-General of DG CONNECT, will deliver a keynote speech and join a panel titled ‘Investment in games – is it finally happening?’.

The European Commission highlights the role of gaming in Europe’s cultural diversity and innovation. Creative Europe MEDIA has already supported nearly 180 projects since 2021. At Gamescom, its booth will feature 79 companies from 24 countries, offering fresh networking opportunities to video game professionals.

The engagement comes just before the release of the second edition of the ‘European Media Industry Outlook’ report. The updated study will provide deeper insights into consumer behaviour and market trends, with a dedicated focus on the video games sector.

Gamescom remains the world’s largest gaming event, with 1,500 exhibitors from 72 nations in 2025. The event celebrates creative and technological achievements, highlighting the industry’s growing importance for Europe’s competitiveness and digital economy.

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USTA debuts AI Match Chat at US Open with IBM

The United States Tennis Association has introduced AI-powered experiences at the US Open in partnership with IBM. Fans can now access Match Chat, an AI assistant answering player stat questions and offering interactive insights during the 254 singles matches.

The assistant is powered by IBM WatsonX Orchestrate technology, combining AI agents and language models trained on US Open data. The organisations have also enhanced IBM SlamTracker, which projects live win probabilities and provides AI-generated post-match commentary for deeper analysis.

According to Brian Ryerson of the USTA, between 13 and 15 million visitors are expected to use these platforms. He noted the association’s roadmap has focused on hybrid cloud and AI for fan engagement and to strengthen core operations.

Behind the scenes, the USTA is streamlining infrastructure management, optimising costs, and enhancing resilience with IBM’s AI tools. Its editorial team has increased content production by 300% using bespoke AI systems, starting with AI match summaries before refining them manually.

Globally, sports bodies are also adopting AI for fans and operations. The NFL and Wimbledon have launched similar tools, while USTA’s hybrid cloud infrastructure ensures the Open withstands surges up to 50 times normal load without disrupting fan experiences.

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AI upskilling at heart of Singapore’s new job strategy

Singapore has launched a $27 billion initiative to boost AI readiness and protect jobs, as global tensions and automation reshape the workforce.

Prime Minister Lawrence Wong stressed that securing employment is key to national stability, particularly as geopolitical shifts and AI adoption accelerate.

IMF research warns Singapore’s skilled workers, especially women and youth, are among the most exposed to job disruption from AI technologies.

To address this, the government is expanding its SkillsFuture programme and rolling out local initiatives to connect citizens with evolving job markets.

The tech investment includes $5 billion for AI development and positions Singapore as a leader in digital transformation across Southeast Asia.

Social challenges remain, however, with rising inequality and risks to foreign workers highlighting the need for broader support systems and inclusive policy.

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China debuts quantum-embedded GNN for drug discovery

According to Science and Technology Daily, Chinese researchers have reported a breakthrough in quantum drug discovery using edge encoding. Origin Quantum, USTC, and the Hefei AI Institute built a quantum-embedded graph neural network (GNN) to predict drug-molecule properties.

In drug development, graph neural networks model molecules as atoms and bonds. Classical and some quantum approaches handle atoms well but struggle with bonds. The gap limits accuracy and screening speed.

The team from China introduced quantum edge and node embeddings to process bonds and atoms simultaneously at the quantum level. The quantum-embedded GNN unifies both signals in one pass. Results show sharper predictions for the properties of candidate drugs.

Validation on the Origin Wukong quantum computer indicates stable performance despite today’s noisy hardware. Benchmarking suggests efficiency gains for molecular screening pipelines. Researchers say the approach is production-oriented as devices scale.

Findings appear in the Journal of Chemical Information and Modelling. Collaboration highlights China’s push to integrate quantum computing with biopharmaceutical research and development. More exhaustive testing on larger qubit counts is anticipated.

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