UNESCO and India’s Ministry of Electronics and Information Technology (MeitY) have launched the India AI Readiness Assessment Report during the India AI Impact Summit 2026. The report evaluates the country’s progress in building an ethical and human-centred AI ecosystem.
Developed by UNESCO with the IndiaAI Mission and Ikigai Law as implementing partner, the report draws on consultations with more than 600 stakeholders from government, academia, industry, and civil society. The assessment examined governance, workforce readiness, and infrastructure development.
Principal Scientific Adviser to the Government of India, Dr Ajay Kumar Sood, emphasised the importance of embedding ethics throughout the technology lifecycle. ‘AI is here to make an impact. The question is not how fast we adopt AI, but how thoughtfully we shape it,’ he said.
The report highlights the country’s growing role in global AI development, noting that it accounts for around 16% of the world’s AI talent and has filed more than 86,000 related patents since 2010. It also points to progress in multilingual AI systems and digital public services.
The assessment also identifies policy priorities, including stronger legal frameworks, inclusive workforce transitions, and better access to high-quality datasets. UNESCO officials said the recommendations aim to support responsible AI governance and strengthen public trust.
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Anthropic has introduced a voice mode capability for Claude Code, its AI coding assistant for developers. The feature enables users to interact with the system through spoken commands, marking a step toward more conversational and hands-free coding workflows.
Voice interaction allows developers to execute programming tasks using natural language. By activating voice mode, users can verbally request actions, reflecting a broader shift toward intuitive human-AI collaboration in software development.
The rollout is currently limited, with voice mode available to a small percentage of users before wider deployment. Technical details remain unclear, including potential usage limits and whether external voice AI providers contributed to the feature’s development.
The update builds on Anthropic’s earlier integration of voice interaction in its Claude chatbot. This expansion suggests a wider strategy to embed voice interfaces across AI tools and enhance multimodal interaction experiences.
Competition in AI coding assistants continues to intensify, with multiple technology companies developing similar tools. Within this environment, Claude Code has gained strong adoption and a growing market presence among developers.
User growth and revenue indicators highlight the growing momentum of Anthropic’s AI ecosystem. The company also experienced heightened public visibility following its decision to restrict certain military uses of its AI systems, contributing to a surge in app popularity.
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Stanford researchers have developed an AI-powered system that combines field surveys, drones, and satellite imagery to identify schistosomiasis risk areas across Senegal.
The project began with fieldwork in Senegal, where researchers collected aquatic vegetation and snails from more than 30 river and estuary sites. The samples helped identify environmental conditions linked to schistosomiasis, which affects about 250 million people worldwide, mostly children in sub-Saharan Africa.
Professor Giulio De Leo of Stanford’s Doerr School of Sustainability said the research required scaling beyond local sampling. ‘The work was necessary to discover these risks, but we can only do so much locally.’
Early support from the Stanford Institute for Human-Centred AI enabled the development of machine learning tools capable of identifying disease-related snails and vegetation in imagery. The system now integrates field observations with drone and satellite data to detect potential infection hotspots.
Researchers say the approach can support public health monitoring and environmental analysis. The machine learning methods developed for the project are also being applied to agriculture, forest monitoring, and mosquito-borne disease research.
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AI is becoming central to industrial networking strategies, but it is also creating new security challenges, according to Cisco’s 2026 State of Industrial AI Report.
Based on a survey of 1,000 professionals across 19 countries and 21 sectors, the report shows organisations view cybersecurity as both a barrier and an opportunity for AI adoption. About 40% cited cybersecurity concerns as a major obstacle, while 48% named security their biggest networking challenge.
At the same time, many organisations believe AI will strengthen their cyber resilience. Cisco noted that ‘while security gaps are limiting AI scale today, organisations view AI as a tool to strengthen detection, monitoring and resilience’.
The report also highlights organisational challenges, particularly collaboration between IT and operational technology teams. Only 20% of organisations report fully collaborative IT and OT cybersecurity operations, despite the growing importance of coordination for AI deployment.
Cisco said industrial AI adoption is accelerating, with 61% of organisations already deploying AI in industrial environments. However, only one in five reports mature, scaled adoption, suggesting many deployments remain in early stages.
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Junyang Lin, a central technical leader of Alibaba’s Qwen AI project, has stepped down just one day after the company unveiled its Qwen 3.5 small models. Lin, who joined Alibaba in 2019 and joined the Qwen team in 2023, did not provide details about his decision.
His departure comes at a sensitive moment, as Qwen has emerged as one of China’s most prominent open-weight AI initiatives. The project is a core element of Alibaba’s strategy to compete with leading US developers such as OpenAI, Google, and Anthropic amid intensifying global AI competition.
Alibaba’s newly launched Qwen 3.5 Small Model series comprises four multimodal models with 0.8B to 9B parameters. The systems are designed for on-device deployment and lightweight AI agents, reflecting a focus on efficient and adaptable AI applications.
The release attracted attention from figures including Elon Musk, who commented on the models’ performance. Internally and across the AI ecosystem, including partners linked to Hugging Face, Lin’s exit was described as a significant loss, particularly given his role in advancing open-source development and strengthening global developer engagement.
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Brazil’s central bank has introduced a regulatory framework requiring licensed crypto exchanges to prove asset sufficiency daily starting on 1 January 2027. The measures align digital asset intermediaries with banking standards on capital management, accounting, and data protection.
Under the rules, exchanges must submit daily attestations confirming that platforms hold adequate fiat and token reserves. Supervisors will review the reports to ensure companies can cover operational, liquidity, and cybersecurity risks while protecting customer balances.
The framework also mandates strict segregation of company and client assets. Exchanges must maintain separate accounts for customer fiat and digital holdings to prevent commingling of funds and improve transparency for regulators.
Platforms operating in Brazil will also be required to follow a specialised accounting manual for digital assets. Standardised rules for classification, valuation, and impairment aim to ensure financial statements clearly reflect exposures across regulated entities.
Authorities will expand oversight of cross-border transfers handled by domestic crypto exchanges. Platforms must report the origins of transactions and the blockchain pathways they follow. The central bank said the framework aims to strengthen resilience and protect customer funds.
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Spanish banking giant Banco Santander and Mastercard have completed what they describe as Europe’s first live end-to-end payment executed by an AI agent. The pilot combined Santander’s live payments infrastructure with Mastercard Agent Pay to enable autonomous, permission-based transactions.
Mastercard Agent Pay, launched in April 2025, allows AI agents to initiate and complete payments within predefined consumer limits. The transaction was orchestrated with support from PayOS and integrates Microsoft Azure OpenAI Service and Copilot Studio.
Following the pilot, Santander plans to expand testing and explore new partnerships across agentic commerce use cases. The bank, which manages around €1.84 trillion in assets, is positioning AI as a core driver of innovation.
AI initiatives at Santander are led by chief data and AI officer Ricardo Martín Manjón, hired from BBVA. A strategic partnership with OpenAI has also connected up to 30,000 employees to ChatGPT Enterprise in one of the fastest deployments of its kind.
Global competition in agentic payments is intensifying as Citi, US Bank and Westpac trial Mastercard Agent Pay. Westpac recently completed New Zealand’s first authenticated agentic transaction, while DBS, Visa, Axis Bank and RBL Bank are advancing similar intelligent commerce pilots.
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MIT researchers have developed a new AI approach that helps engineers solve complex design problems faster, from power grid optimisation to vehicle safety.
The method adapts a foundation model trained on tabular data, enabling high-dimensional optimisation without retraining and significantly speeding up results.
The system uses a foundation model with Bayesian optimisation to pinpoint the variables that most impact outcomes. Focusing on key variables, the model finds top solutions 10 to 100 times faster than existing optimisation methods.
Early tests show the approach excels in costly, time-consuming scenarios like car crash testing and power system design. The technique lowers computational demands and suits large-scale, high-frequency engineering challenges across multiple domains.
Researchers aim to expand the method to even higher-dimensional problems, such as naval ship design, while highlighting the broader potential of foundation models as algorithmic engines in scientific and engineering tools.
Experts see it as a practical step toward making advanced optimisation more accessible in real-world applications.
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Google’s Gemini 3.1 Flash-Lite has launched in preview for developers via AI Studio and for enterprises through Vertex AI. Designed for high-volume workloads, it promises fast, cost-effective performance while maintaining high-quality outputs.
Priced at just $0.25 per million input tokens and $1.50 per million output tokens, 3.1 Flash-Lite offers 2.5X faster response times and 45% higher output speed than the previous 2.5 Flash model.
Benchmarks show strong performance across reasoning and multimodal tasks, including an Elo score of 1432 on Arena.ai, 86.9% on GPQA Diamond, and 76.8% on MMMU Pro, surpassing some older, larger Gemini models.
The model also provides adaptive intelligence features, allowing developers to adjust how much the AI ‘thinks’ for each task. The model handles both high-frequency tasks, such as translation, and complex tasks, such as interface generation and simulations.
Early-access developers and companies report that 3.1 Flash-Lite handles complex workloads with precision comparable to larger models. Its speed, affordability, and reasoning capabilities make it an attractive choice for scalable, real-time AI applications.
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Google is accelerating Chrome’s release cycle rather than maintaining its long-standing four-week cadence.
From September, users on desktop and mobile platforms will receive new stable versions every two weeks, doubling the frequency of feature milestones across speed, stability and usability. Weekly security updates introduced in 2023 remain unchanged.
The faster pace comes as AI-driven browsers seek a foothold in a market long dominated by Chrome.
Products, such as ChatGPT Atlas and Perplexity’s Comet, embed agentic assistants directly into the browsing experience, automating tasks from summarising pages to scheduling meetings.
Chrome has responded with deeper Gemini integration, including the rollout of autonomous features across its interface.
Google maintains that the accelerated schedule reflects the needs of the evolving web platform, arguing that developers require quicker access to updated tools.
Yet the timing aligns with growing competitive pressure from AI-native browsers, prompting speculation that Chrome’s dominance can no longer be taken for granted.
The shift will begin with Chrome version 153 in beta and stable channels on 8 September 2026. Enterprise administrators and Chromebook users will continue to rely on the eight-week Extended Stable branch, which remains unchanged for organisations that need slower, controlled deployments.
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