Artificial intelligence

New AI co-pilot uses CAD software to generate 3D designs

MIT engineers have developed a novel AI system able to use CAD software in a human-like way, controlling the interface with clicks, drags and menu commands to build 3D models from 2D sketches.

The team created a dataset called VideoCAD, comprising more than 41,000 real CAD session videos that explicitly show how users build shapes step-by-step, including mouse movement, keyboard commands and UI interactions.

By learning from this data, the AI agent can translate high-level design intents, such as ‘draw a line’ or ‘extrude a shape’, into specific UI actions like clicking a tool, dragging over a sketch region and executing the command.

When given a 2D drawing, the AI generates a complete 3D model by replicating the sequence of UI interactions a human designer would use. The researchers tested this on a variety of objects, from simple brackets to more complex architectural shapes.

The long-term vision is to build an AI-enabled CAD co-pilot. This tool not only automates repetitive modelling tasks but also works collaboratively with human designers to suggest next steps, speed up workflows or handle tedious operations.

The researchers argue this could significantly lower the barrier to entry for CAD use, making 3D design accessible to people without years of training.

From a digital economy and innovation policy perspective, this development is significant. It demonstrates how AI-driven UI agents are evolving, not just processing text or data, but also driving complex, creative software. That raises questions around intellectual property (who owns the design if the AI builds it?), productivity (will it replace or support designers?) and education (how will CAD teaching adapt?).

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AI revives Molière play for modern stage

Centuries after Molière’s sudden death on stage, a France-based team of researchers, artists and AI specialists has revived the playwright’s creative spirit through a newly generated comedy. The project asked what he might have written had he lived beyond the age of 51.

Experts trained an AI model to study his themes, language and narrative patterns, before combining its output with scholarly review. The resulting play, titled ‘L’Astrologue ou les Faux Presages’, will premiere at the Palace of Versailles next year.

Researchers identified astrology as a theme Molière frequently hinted at, shaping a plot in which a naive bourgeois falls victim to a deceptive astrologer. Academics refined the AI text to ensure historical accuracy, offering fresh insight into Molière’s methods and reaffirming his lasting influence on French theatre.

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Most Canadian businesses adopt AI but few see clear returns

Most Canadian businesses are using generative AI, yet few have fully integrated it into core operations. Only a small fraction are seeing measurable returns, according to new research from KPMG Canada.

Among 753 surveyed business leaders, 93 percent reported some AI adoption. Still, only 31 percent have deployed it across all workflows, while 32 percent have partially integrated AI, and 20 percent remain in early experimentation phases.

Despite widespread adoption, only 2 percent of companies reported a clear return on investment, mostly among firms with annual revenues over $1 billion. Nearly two-thirds said ROI was between five and 20 percent, while almost a third could not quantify it.

Most leaders expect returns within one to five years, highlighting the gap between AI adoption and measurable business impact. Experts emphasise that clear strategies and robust metrics are crucial to translate AI implementation into quantifiable growth.

KPMG Canada notes that successful AI integration requires investment not only in technology, but also in people and processes. Organisations are prioritising talent acquisition, skills training and change management to enhance AI literacy and scale adoption.

Strong governance and strategic frameworks that track both financial and operational benefits are crucial for companies to fully leverage the potential of AI and maintain competitiveness in a rapidly evolving economic landscape.

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Kremlin launches new push for domestic AI development

Russian President Vladimir Putin has ordered the creation of a national task force to accelerate the development of domestic generative AI systems, arguing that homegrown models are essential to safeguarding the country’s technological and strategic sovereignty. Speaking at AI Journey, Russia’s flagship AI forum, he warned that foreign large-language models shape global information flows and can influence entire populations, making reliance on external technologies unacceptable.

Putin said the new task force will prioritise expanding data-centre infrastructure and securing reliable energy supplies, including through small-scale nuclear power stations. Russia still trails global leaders like the United States and China, but local companies have produced notable systems such as Sberbank’s Gigachat and Yandex’s GPT.

Sberbank unveiled a new version of Gigachat and showcased AI-powered tools, ranging from humanoid robots to medical-scanning ATMs. However, recent public demonstrations have drawn unwanted attention, including an incident in which a Russian AI robot toppled over on stage.

The Kremlin aims for AI technologies to contribute more than 11 trillion roubles ($136 billion) to Russia’s economy by 2030. Putin urged state bodies and major companies to adopt AI more aggressively while cautioning against overly strict regulation.

However, he stressed that only Russian-made AI systems should be used for national security to prevent sensitive data from flowing abroad. Western sanctions, which restrict access to advanced hardware, particularly microchips, continue to hinder Russia’s ambitions.

The push for domestic AI comes as Ukraine warns that Russia is developing a new generation of autonomous, AI-driven drones capable of operating in coordinated swarms and striking targets up to 62 miles away, underscoring the growing military stakes of the AI race.

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EU simplifies digital rules to save billions for companies

The European Commission has unveiled a digital package designed to simplify rules and reduce administrative burdens, allowing businesses to focus on innovation rather than compliance.

An initiative that combines the Digital Omnibus, Data Union Strategy, and European Business Wallet to strengthen competitiveness across the EU while maintaining high standards of fundamental rights, data protection, and safety.

The Digital Omnibus streamlines rules on AI, cybersecurity, and data. Amendments will create innovation-friendly AI regulations, simplify reporting for cybersecurity incidents, harmonise aspects of the GDPR, and modernise cookie rules.

Improved access to data and regulatory guidance will support businesses, particularly SMEs, allowing them to develop AI solutions and scale operations across member states more efficiently.

The Data Union Strategy aims to unlock high-quality data for AI, strengthen Europe’s data sovereignty, and support businesses with legal guidance and strategic measures to ensure fair treatment of the EU data abroad.

Meanwhile, the European Business Wallet will provide a unified digital identity for companies, enabling secure signing, storage, and exchange of documents and communication with public authorities across 27 member states.

By easing administrative procedures, the package could save up to €5 billion by 2029, with the Business Wallet alone offering up to €150 billion in annual savings.

The Commission has launched a public consultation, the Digital Fitness Check, to assess the impact of these rules and guide future steps, ensuring that businesses can grow and innovate instead of being held back by complex regulations.

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Northamptonshire Police launches live facial recognition trial

Northamptonshire Police will roll out live facial recognition cameras in three town centres. Deployments are scheduled in Northampton on 28 November and 5 December, in Kettering on 29 November, and in Wellingborough on 6 December.

The initiative uses a van loaned from Bedfordshire Police and the watch-lists include high-risk sex offenders or persons wanted for arrest. Facial and biometric data for non-alerts are deleted immediately; alerts are held only up to 24 hours.

Police emphasise the AI based technology is ‘very much in its infancy’ but expect future acquisition of dedicated kit. A coordinator post is being created to manage the LFR programme in-house.

British campaigners express concern the biometric tool may erode privacy or resemble mass surveillance. Police assert that appropriate signage and open policy documents will be in place to maintain public confidence.

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Roblox brings in global age checks for chat

Children will no longer be able to chat with adult strangers on Roblox after new global age checks are introduced. The platform will begin mandatory facial estimation in selected countries in December before expanding worldwide in January.

Roblox players will be placed into strict age groups and prevented from messaging older users unless they are verified as trusted contacts. Under-13s will remain barred from private messages unless parents actively approve access within account controls.

The company faces rising scrutiny following lawsuits in several US states, where officials argue Roblox failed to protect young users from harmful contact. Safety groups welcome the tighter rules but warn that monitoring must match the platform’s rapid growth.

Roblox says the technology is accurate and helps deliver safer digital spaces for younger players. Campaigners continue to call for broader protections as millions of children interact across games, chats and AI-enhanced features each day.

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New AI tools aim to speed discovery of effective HIV vaccines

Over 40 million people worldwide are living with HIV, a chronic infection that remains a leading cause of death. Developing an effective vaccine has proven difficult due to the virus’s rapid mutations and the vast volume of clinical data produced during trials.

Scripps Research has received $1.1 million from CHAVD to purchase high-performance computing and AI technology. The investment lets researchers analyse millions of vaccine candidates faster, speeding antibody identification and refining experimental vaccines.

StepwiseDesign enables the AI system to evaluate vaccine-induced antibodies and identify the most promising candidates for development. The system has found rare antibodies that neutralise HIV in uninfected individuals, showing its ability to detect extremely rare precursors.

Researchers hope the computational framework will not only fast-track HIV vaccine development but also be applied to other complex pathogens, including influenza and malaria. The project highlights collaboration and innovation, with potential to improve global health outcomes for millions at risk.

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Health sector AI growth in Europe raises safety concerns

Concerns are growing as European countries expand the use of AI in healthcare without establishing sufficient protections for patients or healthcare workers.

A new World Health Organisation report found significant disparities in how nations develop, regulate and fund AI tools.

Some countries are rapidly deploying chatbots, imaging systems and data-analysis tools, while others have barely started integrating AI into their health services. Only four nations across Europe and Central Asia currently have a national strategy dedicated to AI in health care.

WHO officials warn that weak safeguards could lead to biassed algorithms, medical errors and increased inequality in access to care.

The report urges governments to strengthen legal frameworks, train health workers in AI literacy and ensure these technologies are rigorously tested before reaching patients.

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Sundar Pichai warns users not to trust AI tools easily

Google CEO Sundar Pichai advises people not to unquestioningly trust AI tools, warning that current models remain prone to errors. He told the BBC that users should rely on a broader information ecosystem rather than treat AI as a single source of truth.

Pichai said generative systems can produce inaccuracies and stressed that people must learn what the tools are good at. The remarks follow criticism of Google’s own AI Overviews feature, which attracted attention for erratic and misleading responses during its rollout.

Experts say the risk grows when users depend on chatbots for health, science, or news. BBC research found major AI assistants misrepresented news stories in nearly half of the tests this year, underscoring concerns about factual reliability and the limits of current models.

Google is launching Gemini 3.0, which it claims offers stronger multimodal understanding and reasoning. The company says its new AI Mode in search marks a shift in how users interact with online information, as it seeks to defend market share against ChatGPT and other rivals.

Pichai says Google is increasing its investment in AI security and releasing tools to detect AI-generated images. He maintains that no single company should control such powerful technology and argues that the industry remains far from a scenario in which one firm dominates AI development.

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