News

Zara’s AI Integration Revolutionizes Retail and Supply Chain Management Fast-fashion giant Zara is embedding artificial intelligence into its core retail workflows to boost efficiency and market responsiveness. By leveraging generative AI, the company can adapt and extend existing product imagery, significantly cutting the time and expense of traditional photoshoots. This fashion technology allows for rapid creation of visual variations tailored to different markets. Beyond creative applications, Zara’s AI strategy extends to crucial operational areas, including demand forecasting, real-time inventory management, and delivering personalized customer experiences. This deep integration of AI is designed to optimize Zara’s entire supply chain, solidifying its leadership in the competitive fashion industry. ...

Arm Bets on Edge AI for Future Growth, Citing Lower Latency and Efficiency Arm Holdings is strategically positioning itself for the next wave of artificial intelligence, which it predicts will be dominated by edge computing over centralized cloud processing. In a recent interview, Vince Jesaitis, Arm’s head of global government affairs, asserted that most AI computations, especially inference tasks, will become increasingly decentralized. This strategic shift to local AI processing on devices ranging from smartphones to industrial sensors is poised to be the next major development in the field. The key benefits of edge AI include lower latency, critical for applications like real-time translation, and enhanced energy efficiency, thanks to the low-power design of Arm’s chips. Jesaitis also emphasized the sustainability advantages, noting that edge AI can help enterprises achieve their energy goals without sacrificing computing performance. Arm’s strategy centers on supplying the intellectual property for billions of chips in these edge devices, empowering them to be truly intelligent and context-aware. ...

AI & Machine Learning Breakthroughs: Tracing Ancient Life and Powering Research This collection of articles highlights recent advancements in Artificial Intelligence and Machine Learning. A groundbreaking new machine learning method has successfully identified the oldest chemical traces of life on Earth. In other news, a German research team has gained access to a powerful supercomputer to advance generative AI research, while new insights reveal how machine learning is fundamentally transforming global currency exchange. ...

Waymo Doubles US Footprint with Fully Autonomous Robotaxi Service in 5 New Cities Waymo is significantly expanding its fully autonomous vehicle operations, doubling the number of cities where its self-driving cars operate without a human safety driver. The company has initiated fully autonomous operations for employees in Miami, with plans to roll out in Dallas, Houston, San Antonio, and Orlando in the coming weeks. A public launch for paid rides in these new locations is slated for 2026. This expansion builds on Waymo’s existing public robotaxi services in Phoenix, San Francisco, Los Angeles, Atlanta, and Austin. The move intensifies competition in the growing robotaxi market as rivals also invest heavily in autonomous driving technology. ...

OpenAI CEO Sam Altman Pushes for Government-Owned AI Infrastructure OpenAI CEO Sam Altman has called for governments to invest in and own their artificial intelligence infrastructure. In a statement, Altman clarified that OpenAI is not seeking government loan guarantees for its data centers, emphasizing that companies should bear their own business risks. He suggested that a government-owned AI infrastructure, including a “strategic national reserve of computing power,” would serve the public interest. This comes as OpenAI faces scrutiny over its significant investment plans and the immense costs associated with advancing AI technology. Altman believes the risk of having insufficient computing power is greater than the risk of overbuilding. ...

New AI Assistant ‘Denario’ Aims to Accelerate Scientific Discovery Researchers have introduced Denario, an AI-powered scientific assistant designed to accelerate the research process. This multi-agent system can assist with numerous tasks, including generating new research ideas, reviewing existing literature, creating research plans, writing and executing code, producing plots, and drafting scientific papers. Developed by a team from the University of Cambridge, the Flatiron Institute, and the Autonomous University of Barcelona, Denario is a modular tool for scientists at various stages of their work. While it has demonstrated the ability to generate entire research papers across disciplines like astrophysics and biology, its creators emphasize that it is a tool to augment, not replace, human scientists. They note the current version has limitations, with only about one in ten outputs providing significant insights and instances of data fabrication, making human oversight essential. The project’s code is publicly available, with a demo version accessible online. ...

Top Tech Stories OpenAI & NVIDIA Forge $100B Partnership for AI Supercomputing Infrastructure OpenAI and Nvidia have announced a landmark partnership to build OpenAI’s next-generation AI infrastructure, deploying at least 10 gigawatts of Nvidia systems. As part of the agreement, Nvidia will make a progressive investment of up to $100 billion as each gigawatt of infrastructure is completed. This strategic move highlights the trend of AI leaders securing massive computing capacity through diverse hardware and cloud partnerships. In a related deal, OpenAI has also entered a multiyear agreement with AMD to supply up to 6 gigawatts of its MI450 GPUs, which includes an option for OpenAI to acquire a stake of approximately 10% in AMD. ...

Breakthrough in Soft Robotics: Shapeshifting Robot Moves Using Electric Fields In a significant advancement for soft robotics, researchers from the University of Bristol and Queen Mary University of London have created a highly agile, shapeshifting soft robot. According to a study in Advanced Materials, the innovation lies in an electro-morphing gel (e-MG) that enables the robot to bend, stretch, and perform complex movements by manipulating electric fields. This new material allows the jelly-like humanoid gymnast to swing its body and limbs to move from one location to another. ...

Today’s Top Tech Stories: Waymo, NASA, Oracle, and Quantum Breakthroughs Here’s a summary of the most significant developments in AI, autonomous driving, cloud infrastructure, and quantum computing for October 15, 2025. Waymo Announces 2026 London Robotaxi Service Launch Waymo, the autonomous driving technology company under Alphabet, has officially announced its plan to launch a driverless robotaxi service in London. The full rollout is scheduled for 2026, making London the first European city to host Waymo’s autonomous ride-hailing service. Initial vehicle testing with safety drivers will commence in the upcoming weeks. The service, accessible via the Waymo app, will directly compete with established ride-hailing platforms. This expansion represents Waymo’s second international market after Tokyo. UK Transport Secretary Heidi Alexander voiced support, emphasizing the initiative’s potential to advance the UK’s autonomous vehicle sector and enhance transportation accessibility. ...

Ant Group Challenges OpenAI with Ling-1T, a Trillion-Parameter Open-Source AI Model Ant Group has announced the release of Ling-1T, a new trillion-parameter large language model, intensifying the global competition in artificial intelligence. This general-purpose model is engineered for complex reasoning and logic-based tasks, demonstrating strong performance in code generation, software development, and competition-level mathematics. According to Ant Group, Ling-1T has shown superior problem-solving skills compared to rivals from DeepSeek, Moonshot AI, and OpenAI. The company reported that Ling-1T achieved high scores on benchmark platforms such as LiveCodeBench and the American Invitational Mathematics Examination (AIME). On the AIME benchmark, the model reached an accuracy of 70.42%, a result comparable to Google’s Gemini-2.5-Pro. Ling-1T is the second trillion-parameter model from Ant Group and is part of the company’s Ling AI model family. The release of Ling-1T as an open-source model is a strategic move to promote transparency and collaboration in AI development. ...