Sustainable development

Study explores AI’s role in future-proofing buildings

AI could help design buildings that are resilient to both climate extremes and infectious disease threats, according to new research. The study, conducted in collaboration with Charles Darwin University, examines the application of AI in smart buildings, with a focus on energy efficiency and management.

Buildings account for over two-thirds of global carbon emissions and energy consumption, but reducing consumption remains challenging and costly. The study highlights how AI can enhance ventilation and thermal comfort, overcoming the limitations of static HVAC systems that impact sustainability and health.

Researchers propose adaptive thermal control systems that respond in real-time to occupancy, outdoor conditions, and internal heat. Machine learning can optimise temperature and airflow to balance comfort, energy efficiency, and infection control.

A new framework enables designers and facility managers to simulate thermal scenarios and assess their impact on the risk of airborne transmission. It is modular and adaptable to different building types, offering a quantitative basis for future regulatory standards.

The study was conducted with lead author Mohammadreza Haghighat from the University of Tehran and CDU’s Ehsan Mohammadi Savadkoohi. Future work will integrate real-time sensor data to strengthen building resilience against future climate and health threats.

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Anthropic launches Bengaluru office to drive responsible AI in India

AI firm Anthropic, the company behind the Claude AI chatbot, is opening its first office in India, choosing Bengaluru as its base.

A move that follows OpenAI’s recent expansion into New Delhi, underlining India’s growing importance as a hub for AI development and adoption.

CEO Dario Amodei said India’s combination of vast technical talent and the government’s commitment to equitable AI progress makes it an ideal location.

The Bengaluru office will focus on developing AI solutions tailored to India’s needs in education, healthcare, and agriculture sectors.

Amodei is visiting India to strengthen ties with enterprises, nonprofits, and startups and promote responsible AI use that is aligned with India’s digital growth strategy.

Anthropic plans further expansion in the Indo-Pacific region, following its Tokyo launch, later in the year.

Chief Commercial Officer Paul Smith noted the rising demand among Indian companies for trustworthy, scalable AI systems. Anthropic’s Claude models are already accessible in India through its API, Amazon Bedrock, and Google Cloud Vertex AI.

The company serves more than 300,000 businesses worldwide, with nearly 80 percent of usage outside the US.

India has become the second-largest market for Claude, with developers using it for tasks such as mobile UI design and web app debugging.

Anthropic also enhances Claude’s multilingual capabilities in major Indic languages, including Hindi, Bengali, and Tamil, to support education and public sector projects.

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Bulgaria eyes AI gigafactory partnership with IBM

Bulgaria is considering building an AI gigafactory in partnership with IBM and the European Commission, Prime Minister Rosen Zhelyazkov announced after meeting with IBM executives in Sofia. The project aims to attract large-scale high-tech investment and strengthen Europe’s AI infrastructure.

The proposed facility would feature over 100,000 advanced GPU chips and require up to 500 megawatts of power. The initial phase alone is expected to need around 70 megawatts, highlighting the scale of the planned operation.

Funding could come through a public-private partnership, with the European Commission covering up to 17 percent of capital costs and EU member states contributing additional support for this Bulgarian project.

IBM is considered a strategic technology partner, bringing expertise in cloud computing, cybersecurity, and AI systems. The first gigafactories across Europe are expected to begin operations between 2027 and 2028, aligning with the EU’s plan to mobilise €200 billion for AI development.

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Google unveils CodeMender, an AI agent that repairs code vulnerabilities

Google researchers have unveiled CodeMender, an AI-powered agent designed to automatically detect and fix software vulnerabilities.

The tool aims to improve code security by generating and applying patches that address critical flaws, allowing developers to focus on building reliable software instead of manually locating and repairing weaknesses.

Built on the Gemini Deep Think models, CodeMender operates autonomously, identifying vulnerabilities, reasoning about the underlying code, and validating patches to ensure they are correct and do not introduce regressions.

Over the past six months, it has contributed 72 security fixes to open source projects, including those with millions of lines of code.

The system combines advanced program analysis with multi-agent collaboration to strengthen its decision-making. It employs techniques such as static and dynamic analysis, fuzzing and differential testing to trace the root causes of vulnerabilities.

Each proposed fix undergoes rigorous validation before being reviewed by human developers to guarantee quality and compliance with coding standards.

According to Google, CodeMender’s dual approach (reactively patching new flaws and proactively rewriting code to eliminate entire vulnerability classes) represents a major step forward in AI-driven cybersecurity.

The company says the tool’s success demonstrates how AI can transform the maintenance and protection of modern software systems.

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Policy hackathon shapes OpenAI proposals ahead of EU AI strategy

OpenAI has published 20 policy proposals to speed up AI adoption across the EU. Released shortly before the European Commission’s Apply AI Strategy, the report outlines practical steps for member states, businesses, and the public sector to bridge the gap between ambition and deployment.

The proposals originate from Hacktivate AI, a Brussels hackathon with 65 participants from EU institutions, governments, industry, and academia. They focus on workforce retraining, SME support, regulatory harmonisation, and public sector collaboration, highlighting OpenAI’s growing policy role in Europe.

Key ideas include Individual AI Learning Accounts to support workers, an AI Champions Network to mobilise SMEs, and a European GovAI Hub to share resources with public institutions. OpenAI’s Martin Signoux said the goal was to bridge the divide between strategy and action.

Europe already represents a major market for OpenAI tools, with widespread use among developers and enterprises, including Sanofi, Parloa, and Pigment. Yet adoption remains uneven, with IT and finance leading, manufacturing catching up, and other sectors lagging behind, exposing a widening digital divide.

The European Commission is expected to unveil its Apply AI Strategy within days. OpenAI’s proposals act as a direct contribution to the policy debate, complementing previous initiatives such as its EU Economic Blueprint and partnerships with governments in Germany and Greece.

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Anthropic’s Claude to power Deloitte’s new enterprise AI expansion

Deloitte entered a new enterprise AI partnership with Anthropic shortly after refunding the Australian government for a report that included inaccurate AI-generated information.

The A$439,000 (US$290,618) contract was intended for an independent review but contained fabricated citations to non-existent academic sources. Deloitte has since repaid the final instalment, and the government of Australia has released a corrected version of the report.

Despite the controversy, Deloitte is expanding its use of AI by integrating Anthropic’s Claude chatbot across its global workforce of nearly half a million employees.

A collaboration will focus on developing AI-driven tools for compliance, automation and data analysis, especially in highly regulated industries such as finance and healthcare.

The companies also plan to design AI agent personas tailored to Deloitte’s various departments to enhance productivity and decision-making. Financial terms of the agreement were not disclosed.

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ChatGPT reaches 800 million weekly users as OpenAI’s value hits $500 billion

OpenAI CEO Sam Altman has announced that ChatGPT now reaches 800 million weekly active users, reflecting rapid growth across consumers, developers, enterprises and governments.

The figure marks another milestone for the company, which reported 700 million weekly users in August and 500 million at the end of March.

Altman shared the news during OpenAI’s Dev Day keynote, noting that four million developers are now building with OpenAI tools. He said ChatGPT processes more than six billion tokens per minute through its API, signalling how deeply integrated it has become across digital ecosystems.

The event also introduced new tools for building apps directly within ChatGPT and creating more advanced agentic systems. Altman states these will support a new generation of interactive and personalised applications.

OpenAI, still legally a nonprofit, was recently valued at $500 billion following a private stock sale worth $6.6 billion.

Its growing portfolio now includes the Sora video-generation tool, a new social platform, and a commerce partnership with Stripe, consolidating its status as the world’s most valuable private company.

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India’s competition watchdog urges AI self-audits to prevent market distortions

The Competition Commission of India (CCI) has urged companies to self-audit their AI systems to prevent anti-competitive practices and ensure responsible autonomy.

A call came as part of the CCI’s market study on AI, emphasising the risks of opacity and algorithmic collusion while highlighting AI’s potential to enhance innovation and productivity.

The study warned that dominant firms could exploit their control over data, infrastructure, and proprietary models to reinforce market power, creating barriers to entry. It also noted that opaque AI systems in user sectors may lead to tacit algorithmic coordination in pricing and strategy, undermining fair competition.

The regulatory approach of India, the CCI said, aims to balance technological progress with accountability through a co-regulatory framework that promotes both competition and innovation.

Additionally, the Commission plans to strengthen its technical capacity, establish a digital markets think tank and host a conference on AI and regulatory challenges.

A report recommended a six-step self-audit framework for enterprises, requiring evaluation of AI systems against competition risks, senior management oversight and clear accountability in high-risk deployments.

It also highlighted AI’s pro-competitive effects, particularly for MSMEs, which benefit from improved efficiency and greater access to digital markets.

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OpenAI and AMD strike 6GW GPU deal to power next-generation AI infrastructure

AMD and OpenAI have announced a strategic partnership to deploy up to six gigawatts of AMD GPUs, marking one of the largest AI compute collaborations.

The multi-year agreement will begin with the rollout of one gigawatt of AMD Instinct MI450 GPUs in the second half of 2026, with further deployments planned across future AMD generations.

A deal that deepens a long-standing relationship between the two companies began with AMD’s MI300X and MI350X series.

OpenAI will adopt AMD as a core strategic compute partner, integrating its technology into large-scale AI systems and jointly optimising product roadmaps to support next-generation AI workloads.

To strengthen alignment, AMD has issued OpenAI a warrant for up to 160 million shares, with tranches vesting as the partnership achieves deployment and share-price milestones. AMD expects the collaboration to deliver tens of billions in revenue and boost its non-GAAP earnings per share.

AMD CEO Dr Lisa Su called the deal ‘a true win-win’ for both companies, while OpenAI’s Sam Altman said the partnership will ‘accelerate progress and bring advanced AI benefits to everyone faster’.

The collaboration positions AMD as a leading hardware supplier in the race to build global-scale AI infrastructure.

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A new AI strategy by the EU to cut reliance on the US and China

The EU is preparing to unveil a new strategy to reduce reliance on American and Chinese technology by accelerating the growth of homegrown AI.

The ‘Apply AI strategy’, set to be presented by the EU tech chief Henna Virkkunen, positions AI as a strategic asset essential for the bloc’s competitiveness, security and resilience.

According to draft documents, the plan will prioritise adopting European-made AI tools across healthcare, defence and manufacturing.

Public administrations are expected to play a central role by integrating open-source EU AI systems, providing a market for local start-ups and reducing dependence on foreign platforms. The Commission has pledged €1bn from existing financing programmes to support the initiative.

Brussels has warned that foreign control of the ‘AI stack’ (the hardware and software that underpin advanced systems) could be ‘weaponised’ by state and non-state actors.

These concerns have intensified following Europe’s continued dependence on American tech infrastructure. Meanwhile, China’s rapid progress in AI has further raised fears that the Union risks losing influence in shaping the technology’s future.

Several high-potential AI firms have already been hosted by the EU, including France’s Mistral and Germany’s Helsing. However, they rely heavily on overseas suppliers for software, hardware, and critical minerals.

The Commission wants to accelerate the deployment of European AI-enabled defence tools, such as command-and-control systems, which remain dependent on NATO and US providers. The strategy also outlines investment in sovereign frontier models for areas like space defence.

President Ursula von der Leyen said the bloc aims to ‘speed up AI adoption across the board’ to ensure it does not miss the transformative wave.

Brussels hopes to carve out a more substantial global role in the next phase of technological competition by reframing AI as an industrial sovereignty and security instrument.

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