Don't leave AI to tech bros and oligarchs, UK's AI minister says To play this video you need to enable JavaScript in your browser. Britain cannot let aritificial intelligence be ruled by tech bros and oligarchs, the AI minister has said. Kanishka Narayan told the BBC's Political Thinking podcast that dealing with the technology requires not only regulation, but building capability and capacity in the state too. He compared AI to the Victorian-era Industrial Revolution, but said the country needed to transition better than it did back then. His comments were recorded the day before Barclays banking group announced it was cutting 5,000 jobs in an AI-led efficiency drive.

Kanishka Narayan said the UK would'play its part' in coordinating an international response to AI safety. Kanishka Narayan said the UK would'play its part' in coordinating an international response to AI safety. Cyber-attack like OpenAI Medicare breach'seems likely' in UK, says minister Mon 12 Oct 2026 09.52 EDTLast modified on Mon 12 Oct 2026 11.36 EDT An AI-driven cyber-attack like the OpenAI breach of Australia's healthcare system is likely, "if not inevitable", in the UK, according to a senior minister. Kanishka Narayan, the UK AI minister, indicated that the British government's own cyber defences would be bypassed by a technology that has developed highly sophisticated skills in cybersecurity. In a speech on Monday, Narayan said an incident in June when an OpenAI agent - a computer program acting autonomously - infiltrated Medicare, Australia's universal healthcare system, could be repeated in the UK.

Narayan will argue the UK needs to build more of its own AI infrastructure. Narayan will argue the UK needs to build more of its own AI infrastructure. Companies building the most advanced AI systems must increase safety efforts, the UK's AI minister will say, as he announces a strengthening of Britain's cyber defences. Kanishka Narayan will call on companies developing frontier AI to do more to make sure it is safe. He will say Britain cannot rely entirely on technology companies to police their own models and will argue the UK needs to build more of its own AI infrastructure. Narayan's speech in west London will be the first since Andy Burnham made AI a cabinet-level brief.

No Phone, No Social Safety Net: Welcome to the'Offline Club' Across Europe's largest cities, people are gathering for semi-silent, offline hangouts, in search of an experience that isn't mediated through their smartphones. On cue, the room fell silent. A man seated to my left at a long wooden table began to scratch at a piece of paper with a coloring pencil. To my right, another guy picked up a book. Across the way, someone buried themselves in a puzzle.

Tesla shares fell nearly 9% on Friday, wiping about 60bn ( 45bn) from the company's value, after the long-awaited unveiling of its so-called robotaxi failed to excite investors. Shares in the electric carmaker tumbled to 217 at market close following an event in Hollywood, where the chief executive, Elon Musk, revealed a much-hyped driverless vehicle. The stock price is down roughly 12% year-to-date. Musk said the company would start building the fully autonomous "Cybercab" by 2026 at a price of less than 30,000, and showed off a van he claimed was capable of transporting 20 people around town autonomously – which he said would reshape cities by turning car parks into parks. Before the event, he tweeted: "And all transport will be fully autonomous within 50 years."

AI technology is quickly creeping into every industry, prompting new questions about whether online content comes from a human or a computer. The presence of advanced technology in the classroom may require conversations with students during this new school year. As artificial intelligence finds its way into more families' day-to-day routines, parents and teachers alike should be wary of how their kids are interacting with generative AI. This is according to SmartNews' head of trust and safety Arjun Narayan, who shared concerns during an interview with Fox News Digital. "As with any new technology, when it is very new, it's important to understand how you're engaging with that tech," said Narayan, who is based in Japan.

In this paper, we explore potential uses of generative AI models, such as ChatGPT, for investment portfolio selection. Trusting investment advice from Generative Pre-Trained Transformer (GPT) models is a challenge due to model "hallucinations", necessitating careful verification and validation of the output. Therefore, we take an alternative approach. We use ChatGPT to obtain a universe of stocks from S&P500 market index that are potentially attractive for investing. Subsequently, we compared various portfolio optimization strategies that utilized this AI-generated trading universe, evaluating those against quantitative portfolio optimization models as well as comparing to some of the popular investment funds. Our findings indicate that ChatGPT is effective in stock selection but may not perform as well in assigning optimal weights to stocks within the portfolio. But when stocks selection by ChatGPT is combined with established portfolio optimization models, we achieve even better results. By blending strengths of AI-generated stock selection with advanced quantitative optimization techniques, we observed the potential for more robust and favorable investment outcomes, suggesting a hybrid approach for more effective and reliable investment decision-making in the future.

SmartNews' Head of Global Trust and Safety is calling for new regulation on artificial intelligence (AI) to prioritize user transparency and ensure human oversight remains a crucial component for news and social media recommender systems. "We need to have guardrails," Arjun Narayan said. "Without humans thinking through everything that could go wrong, like bias creeping into the models or large language models falling into the wrong hands, there can be very serious consequences for humanity." Narayan, who previously worked on Trust and Safety for Google and Bytedance, the company behind TikTok, said it is essential for companies to recognize opt-in and opt-outs when using large language models (LLMs). As a default, anything being fed to an LLM will be assumed training data and collected by the model.

The majority of human deaths and injuries are caused by traffic accidents. A million people worldwide die each year due to traffic accident injuries, consistent with the World Health Organization. Drivers who do not receive enough sleep, rest, or who feel weary may fall asleep behind the wheel, endangering both themselves and other road users. The research on road accidents specified that major road accidents occur due to drowsiness while driving. These days, it is observed that tired driving is the main reason to occur drowsiness. Now, drowsiness becomes the main principle for to increase in the number of road accidents. This becomes a major issue in a world which is very important to resolve as soon as possible. The predominant goal of all devices is to improve the performance to detect drowsiness in real time. Many devices were developed to detect drowsiness, which depend on different artificial intelligence algorithms. So, our research is also related to driver drowsiness detection which can identify the drowsiness of a driver by identifying the face and then followed by eye tracking. The extracted eye image is matched with the dataset by the system. With the help of the dataset, the system detected that if eyes were close for a certain range, it could ring an alarm to alert the driver and if the eyes were open after the alert, then it could continue tracking. If the eyes were open then the score that we set decreased and if the eyes were closed then the score increased. This paper focus to resolve the problem of drowsiness detection with an accuracy of 80% and helps to reduce road accidents.

The purpose of this paper is to enhance the performance of the virtual assistant. So, what exactly is a virtual assistant. Application software, often called virtual assistants, also known as AI assistants or digital assistants, is software that understands natural language voice commands and can perform tasks on your behalf. What does a virtual assistant do. Virtual assistants can complete practically any specific smartphone or PC activity that you can complete on your own, and the list is continually expanding. Virtual assistants typically do an impressive variety of tasks, including scheduling meetings, delivering messages, and monitoring the weather. Previous virtual assistants, like Google Assistant and Cortana, had limits in that they could only perform searches and were not entirely automated. For instance, these engines do not have the ability to forward and rewind the song in order to maintain the control function of the song; they can only have the module to search for songs and play them. Currently, we are working on a project where we are automating Google, YouTube, and many other new things to improve the functionality of this project. Now, in order to simplify the process, we've added a virtual mouse that can only be used for cursor control and clicking. It receives input from the camera, and our index finger acts as the mouse tip, our middle finger as the right click, and so forth.