This webinar presents a workflow offering end-to-end solutions for designing, training, validating and verifying, compressing, and deploying AI-based virtual sensor models to embedded processors within a single environment. Highlights Integrate AI models into Simulink for system-level simulation, verification, and simulation-based testing Apply formal verification techniques to assert neural network behavior Compress the AI model for memory footprint reduction and execution s

This article is brought to you by DAIMON Robotics . This April, Hong Kong-based DAIMON Robotics has released Daimon-Infinity , which it describes as the largest omni-modal robotic dataset for physical AI, featuring high resolution tactile sensing and spanning a wide range of tasks from folding laundry at home to manufacturing on factory assembly lines. The project is supported by collaborative efforts of partners across China and the globe, including Google DeepMind, Northwes

South Korea is using AI-powered companion dolls to help tackle loneliness in its ageing population

Google Pay is overhauling its payment infrastructure for an impending wave of transactions from AI agents. The latest updates introduce the Universal Commerce Protocol and a new server architecture, positioning Google Pay as a central clearinghouse for purchases executed by autonomous agents rather than human users. AI agents – designed to perform tasks like booking flights or ordering supplies – cannot effectively navigate the multi-step, visually-oriented checkout pages bui

The AI company behind Claude is set to offer the public shares of stock sometime this year.

With rivals racing to market to raise ‘eye-popping sums’, the spotlight is now on the AI sector’s one-time ‘poster child’ A year is a long time in AI. Just 12 months ago, Sam Altman was predicting his company OpenAI would build a super intelligence and fundamentally remake society. Now the boss of the ChatGPT developer is walking back those ideas after failing to make money from ads and erotic chatbots. Meanwhile, rivals are storming ahead with plans to expand and go public o

One of the hardest problems in artificial intelligence is “ alignment ,” or making sure AI goals match our own, a challenge that may prove especially important if superintelligent AIs that outmatch us intellectually are ever developed. But scientists in England and their colleagues now report in the journal PNAS Nexus that perfect alignment between AI systems and human interests is mathematically impossible. All may not be lost, the scientists say. To cope with this impossibi

Analog compute-in-memory combines compute and storage using crossbar arrays of non-volatile memory, thus promising to reduce the energy demand for artificial intelligence workloads. Yet, significant challenges limit their scaling. Implementing signed weights using positive conductances requires a differential encoding scheme that substantially increases area. Furthermore, large fully-connected networks must be decomposed and distributed over multiple fan-in limited CIM module

Measure in Amazon and Microsoft’s background expected to succeed next week in major rebuke to big tech amid AI boom Seattle’s city government is on the verge of passing a year-long ban on the construction of new datacenters, the largest city yet in the US to consider such a moratorium as nationwide backlash grows. Four companies sought to build five large datacenters in areas serviced by Seattle’s public utility; if approved, they would have consumed approximately a third of

The director defends investment in and use of AI-generated storyboards, saying the immediacy of communicating his vision to cast and crew is ‘creatively freeing’ Martin Scorsese’s announcement that he has invested in an AI company and uses the technology to create storyboards has triggered a backlash from fellow members of the film industry. The New York Times reported that Scorsese had been appointed in 2025 as a partner and adviser to Black Forest Labs, a German-based ventu

Fractional differential equations (FDEs) have been used extensively to model systems with memory and non-local dynamics, but the high computational cost of evaluation of a fractional derivative means that their numerical solution is difficult to calculate. Classical methods like finite difference have the disadvantage of needing to store the entire history of the solutions, whereas Physics-Informed Neural Networks (PINNs) have the drawback of being unstable and high cost to t

Guardian readers in the US spoke of fears about unregulated AI in response to the pope’s encyclical warning about the risks of the technology In his first major papal text since assuming leadership of the Catholic church last year, Pope Leo issued a stark warning about the rise of artificial intelligence this week, denouncing the “culture of power” driving the AI age. Calling for the “most rigorous” ethical constraints on AI – which he described as one of the greatest threats

Microsoft’s Majorana 2 quantum chip arrived this week with numbers that are genuinely difficult to contextualise: qubits 1,000 times more reliable than the first generation, a mean qubit lifetime of 20 seconds against an industry norm measured in microseconds, and a revised roadmap targeting a commercially scalable quantum computer by 2029. Behind those numbers is Microsoft Discovery agentic AI, and that platform is arguably the more consequential part of this announcement. T

Jess Asato was portrayed by AI tool as wearing a bikini after she criticised the creation of such non-consensual pictures A Labour MP has taken legal action against Elon Musk’s AI company after saying its Grok tool helped a user produce fake sexualised pictures of her, part of a wave of such images that flooded X earlier this year. Jess Asato, the MP for Lowestoft, said in January that seeing herself portrayed by the AI tool as wearing a bikini without her consent was “violat

This presentation highlights recent efforts at the Johns Hopkins Applied Physics Laboratory to advance agentic AI for collaborative robotic teams. It begins by framing the core challenges of enabling autonomy, coordination, and adaptability across heterogeneous systems, then introduces a scalable architecture designed to support agentic behaviors in multi-robot environments. The talk concludes with key challenges encountered and practical lessons learned from ongoing research

Successor to Nicholas Serota from August picks out AI as one of the major challenges facing the sector The media executive Dawn Airey has been appointed chair of Arts Council England (Ace) and has immediately identified AI as a key challenge facing the sector. Airey, whose CV includes top jobs at ITV, Channel 5 and Sky, will replace Nicholas Serota, whose tenure coincided with one of the most challenging times for the arts in recent memory. Continue reading...

Nvidia's new chip will power new Windows laptop and desktop computer models to make 'AI personal computers'.

Follow today’s news live Get our breaking news email , free app or daily news podcast Chaney said: AI companies should be able to unlock the majority of global content with a handful of individual deals – in the same way that every other industry licenses copyrighted content. Government could further work to facilitate this process for the remainder of the copyrighted content, either directly or through a centralised mechanism. Continue reading...

One of largest equity fundraisings ever includes $10bn share sale to US investment group Berkshire Hathaway Business live – latest updates Google’s parent company Alphabet has said it plans to raise up to $80bn (£59bn) in equity to fund its vast artificial intelligence infrastructure investments, raising further questions over the economics of the AI boom. The move, one of the largest equity fundraisings ever globally, includes a $10bn share sale to the US investment group Be

The foreign exchange market is really moving away from pure intuition and toward a space shaped by speed, data and precision. By using automated systems in your routine, you can approach volatility with a level of discipline that manual trading often struggles to maintain. Every entry and exit can be based on clear rules, not the emotional swings that frequently influence human decisions. Currency markets really move quickly, often faster than any person can react. With advan