Artificial intelligence Archives | Page 14 of 659

China pushes deeper AI integration with advanced manufacturing

Chinese Premier Li Qiang has called for deeper integration between AI and advanced manufacturing as China seeks to accelerate the intelligent upgrading of its industrial economy.

Li made the remarks during an inspection tour of technology companies in Beijing, where he was briefed on innovation and industrial development in intelligent robotics. He described intelligent robots as a key vehicle for integrating AI with advanced manufacturing.

The premier called for stronger basic research, breakthroughs in core technologies and further exploration at the frontier of intelligent robotics. He also urged faster innovation in complete machines, key components, and intelligent decision-making and control systems to support high-quality industrial development.

Li said China should make use of its large domestic market, complete industrial chains and wide range of application scenarios to expand the intelligent robotics sector. He also said enterprises should play a leading role in industrial transformation.

Companies were encouraged to advance intelligent upgrades across the full production process, including research and development, design, manufacturing, operations management and after-sales services.

Why does it matter?

The remarks show how China is positioning AI as part of industrial modernisation, not only as a digital services technology. By linking AI with robotics, manufacturing processes and enterprise-led upgrading, Beijing is reinforcing the role of intelligent systems in productivity, competitiveness and high-quality industrial growth.

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New Google programme targets environmental risks with frontier AI

Google DeepMind has launched an accelerator programme in the Asia Pacific aimed at helping startups, research teams and nonprofits use AI to address environmental challenges.

The three-month AI for the Planet programme will support organisations working on issues linked to nature, climate, agriculture, energy and other environmental risks. Google said selected teams will receive expert mentorship, tailored support and guidance from Google AI specialists on integrating frontier AI and science AI models into their projects or products.

The initiative is focused on the Asia Pacific, a region Google describes as both a major engine of economic growth and highly vulnerable to climate change. The company said green technologies are gaining momentum in the region but are not scaling fast enough to keep pace with rising environmental risks.

Selected participants will begin with an in-person bootcamp in Singapore, where they will work to refine their use cases and scale their climate and environmental solutions.

Why does it matter?

The programme reflects growing interest in applying frontier AI to environmental resilience, from climate modelling and nature protection to agriculture and energy systems. Its significance will depend on whether early-stage teams can turn AI research and tools into deployable solutions for regions facing rising climate and resource pressures.

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European Commission backs €5 billion fund for AI and deep tech

The European Commission has announced that the European Innovation Council Fund Board has selected EQT as the preferred investment adviser and fund manager for the new €5 billion Scaleup Europe Fund, an initiative designed to support European deep-tech scaleups.

According to the Commission, the fund will be the largest initiative of its kind launched in Europe and forms a central pillar of the EU Startup and Scaleup Strategy. It aims to provide late-stage growth capital for European companies operating in strategic technology sectors, including AI, quantum computing, semiconductors, clean technology, biotech, medical technologies, space and dual-use technologies.

European officials said the fund is intended to address the financing gap that has often pushed promising European scaleups to seek investment outside the continent. The aim is to help more high-growth technology firms remain headquartered and operational in Europe as they expand.

EQT was selected following what the Commission described as a competitive process focused on investment expertise, fundraising capability and operational experience in scaling technology companies.

The initiative is being developed alongside several major European institutional investors and financial organisations, including Novo Holdings, Allianz, CriteriaCaixa, ABP and Santander/Mouro Capital.

The Commission said legal agreements and investor approval processes are underway, with the Scaleup Europe Fund expected to begin investment operations in autumn 2026. The initiative will also be formally presented during the EIC Summit on 3 June 2026.

Why does it matter?

he fund reflects Europe’s concern that strategic technologies such as AI, quantum computing, semiconductors, biotechnology and space are increasingly tied to economic security and geopolitical influence. By creating a large European growth-capital vehicle, the EU policymakers are trying to reduce the pressure on scaleups to rely on foreign financing or relocate abroad, while strengthening Europe’s ability to retain innovation, industrial capacity and technological leadership.

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UK financial regulators highlight operational risks linked to frontier AI

Bank of England, Financial Conduct Authority and HM Treasury have issued a joint statement warning regulated firms about escalating cybersecurity risks associated with frontier AI models.

The authorities said current frontier AI systems already possess cyber capabilities that may exceed those of skilled practitioners in some areas while operating at greater speed and scale. According to the statement, malicious use of these capabilities could increase risks to financial stability, market integrity, customers, and firms’ operational resilience.

UK regulators warned that firms underinvesting in cybersecurity protections may face increased exposure as more advanced AI systems emerge. The statement said regulated firms and financial market infrastructures should strengthen resilience against AI-driven cyber threats.

The guidance highlighted several priority areas, including governance, vulnerability management, third-party and supply-chain risks, data protection, network security, and recovery planning. The authorities urged boards and senior management teams to improve their understanding of frontier AI cyber risks.

Bank of England, Financial Conduct Authority and HM Treasury also warned that frontier AI models could rapidly identify and exploit vulnerabilities across complex technology estates, forcing firms to accelerate patching, remediation, and threat-detection processes. Firms were encouraged to deploy automation and AI-enabled defensive tools capable of responding at a comparable speed to emerging AI-driven attacks.

The statement additionally emphasised growing risks linked to third-party providers, open-source software dependencies, and supply-chain exposure. Regulators said firms should strengthen capabilities to identify, monitor, and manage vulnerabilities linked to third-party providers and software dependencies.

The authorities confirmed they will continue monitoring AI developments and coordinating with industry through the Cross Market Operational Resilience Group.

Why does it matter?

The financial sector increasingly depends on interconnected digital infrastructure, cloud services, AI systems, and third-party software supply chains. Frontier AI could dramatically accelerate both offensive cyber capabilities and defensive security operations, creating a rapidly evolving threat environment where traditional cybersecurity practices may no longer be sufficient.

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Malaysia sees AI demand supporting economic growth

Malaysia’s economic growth outlook remains positive, supported by foreign and domestic investment and continued demand in AI, data centres and semiconductors, according to Finance Minister II Amir Hamzah Azizan.

Amir Hamzah said Malaysia’s gross domestic product expanded by 5.4% in the first quarter, slightly above the earlier forecast of 5.3%, indicating continued economic momentum. He said foreign direct investment had started contributing to GDP, while domestic direct investment and public spending remained strong.

The minister linked the trend to the government’s MADANI Economy framework, saying the government is working to keep key economic drivers functioning smoothly. He also said Malaysia continues to attract investor interest as a trading nation, supported by digitalisation, data centres and AI.

AI and data centre activity remain strong, supported by Malaysia’s industrial ecosystem, particularly in the northern region. The government is also encouraging domestic investment from government-linked investment companies and government-linked companies, while focusing on income measures including civil service pay, the minimum wage and a transition towards living wages.

Infrastructure projects, including the Mutiara Line light rail transit, the expansion of the Juru interchange and upgrades to Penang International Airport, are expected to support worker and investor movement in the northern region. Utility improvements, including electricity transmission and water supply projects, are also being prioritised to support industrial activity.

Amir Hamzah also pointed to Intel’s expansion in Penang, including advanced packaging components, as further strengthening Malaysia’s position as a semiconductor hub.

Why does it matter?

Malaysia is linking AI and data centre demand to a wider industrial strategy built around semiconductors, infrastructure and investment flows. The remarks show how AI growth is increasingly tied to physical requirements such as power, water, transport and advanced manufacturing capacity, especially in regions trying to position themselves as hubs for digital and semiconductor investment.

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OpenAI tests financial data integration in ChatGPT

OpenAI has launched a preview of a personal finance experience in ChatGPT for Pro users in the United States. The feature allows users to connect financial accounts, view a dashboard, and ask questions based on their financial data.

The feature is available on web and iOS apps and supports more than 12,000 financial institutions. OpenAI said the preview will initially be available to a smaller group of users before expanding more broadly.

Users can connect accounts through Plaid, with Intuit support planned. Once authenticated, ChatGPT syncs and categorises financial data, allowing users to view portfolio performance, spending, subscriptions, upcoming payments, and other financial activity.

OpenAI said the feature supports questions related to budgeting, planning, subscriptions, investments, and spending activity. OpenAI said ChatGPT is intended to help users review financial information but is not a substitute for professional financial advice.

Users can also choose to save financial context as ‘Financial memories’ for future conversations, according to OpenAI. OpenAI says those memories are a dedicated type of memory used specifically for financial conversations and can be viewed or deleted from the Finances page.

OpenAI said connected accounts allow access to balances, transactions, investments, and liabilities, but not full account numbers or account controls. Users can disconnect accounts at any time, after which synced account data will be deleted from OpenAI’s systems within 30 days.

Conversations with connected financial accounts default to GPT-5.5 Thinking. OpenAI said it worked with finance professionals to evaluate the feature on personal finance tasks and response quality.

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South Korea expands international outreach on AI copyright guidance

South Korea’s Ministry of Culture, Sports and Tourism has released an English version of its guide on fair use for training generative AI models. The document outlines how copyrighted materials may be used under existing legal frameworks for AI training purposes.

The guide outlines four legal factors used to assess fair use, including purpose, type of work, amount used, and market impact. According to the guide, AI training may qualify as fair use in some cases where it creates new value and does not negatively affect existing markets.

The guide provides examples of uses that may or may not qualify as fair use under current copyright rules. According to the guide, systems that reproduce substantial copyrighted content without transformation are less likely to qualify as fair use.

The ministry said it plans to discuss the guide internationally, including through cooperation initiatives linked to the World Intellectual Property Organization, as part of broader policy engagement efforts in Seoul, South Korea.

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Indian science ministry outlines AI and quantum technology priorities

India’s Ministry of Science and Technology has outlined a strategy placing AI and quantum sovereignty at the centre of future growth, according to statements by Jitendra Singh. The announcement was made during a programme hosted by the Technology Development Board.

Minister Jitendra Singh said long-term progress in deep technology depends on a coordinated national approach. The minister linked the strategy to the Research, Development and Innovation Fund scheme, which aims to expand private-sector participation in research and innovation.

According to officials, five projects were approved under the scheme in areas including battery technology, satellite systems, healthcare, and unmanned aerial systems. Initial funding disbursement has begun, alongside the release of progress reports and outlining a national quantum safe ecosystem.

Officials said post-quantum cryptography and secure digital infrastructure are emerging priorities under the National Quantum Mission. The announcements were made during a programme hosted by the Technology Development Board in New Delhi, India.

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SAIFA project launched to support AI and high-performance computing in Serbia

The School of Electrical Engineering at the University of Belgrade has announced the launch of SAIFA, the Serbian Artificial Intelligence Factory Antenna, supported by the EuroHPC Joint Undertaking. According to the organisers, the project forms part of a broader EU initiative focused on interconnected AI and high-performance computing environments.

SAIFA is intended to expand access to AI and computing resources for academia, public administration, startups, and industry. It also aims to integrate national expertise into the broader European AI ecosystem through collaboration, application development, and knowledge exchange.

Project leadership highlighted SAIFA as both a continuation of ongoing work in advanced computing and a step towards stronger regional cooperation within the EU. The initiative includes partners from research, innovation, and government sectors.

A consortium of institutions, including research institutes and government bodies, will support the project’s development and implementation. The launch event and initial meeting took place in Belgrade, Serbia.

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UNESCO expands online course on AI and digital citizenship

UNESCO has launched the second edition of its free Massive Open Online Course focused on digital citizenship and AI, following the first programme, which attracted more than 23,000 registered participants.

The course, titled ‘Educating in the Age of Artificial Intelligence: Digital Citizenship from the Classroom’, is expanding internationally through the introduction of a new English-language version alongside its existing Spanish programme. Classes for both versions are scheduled to begin on 15 June 2026.

UNESCO said the initiative aims to help educators, schools, and broader communities better understand how AI systems affect everyday life, democratic participation, and digital environments. According to UNESCO, the course examines algorithms, digital ethics, online behaviour, information integrity, and societal aspects of AI.

The programme covers digital citizenship topics, including disinformation, digital footprints, online participation, and protection of rights in digital spaces.

UNESCO highlighted the importance of analytical skills, critical thinking, and ethical reflection in relation to emerging technologies.

The course includes five thematic modules covering algorithms, AI in education, and the role of digital systems in communication and public discourse. Participants will engage with videos, expert discussions, case studies, and collaborative forums throughout the programme.

Why does it matter?

Educational systems globally are increasingly under pressure to prepare citizens for digital environments shaped by AI, algorithmic recommendation systems, synthetic media, and automated decision-making. Digital literacy is gradually evolving beyond technical competence into a broader set of civic, ethical, and critical thinking skills connected to democratic participation and societal resilience.

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