As large language models (LLMs) become increasingly embedded in chatbots, virtual assistants, translation services, coding tools and other AI-powered applications, delivering responses quickly and efficiently has become a growing challenge. Because these models generate text one token at a time, inference can be slow and computationally expensive, particularly for larger models. While speculative decoding has emerged as a promising approach to accelerate inference, many existing methods either require additional model training or struggle to perform consistently across different hardware platforms.As large language models (LLMs) become increasingly embedded in chatbots, virtual assistants, translation services, coding tools and other AI-powered applications, delivering responses quickly and efficiently has become a growing challenge. Because these models generate text one token at a time, inference can be slow and computationally expensive, particularly for larger models. While speculative decoding has emerged as a promising approach to accelerate inference, many existing methods either require additional model training or struggle to perform consistently across different hardware platforms.Hardware[#item_full_content]

The Yixing Zisha teapot sits neatly at the intersection of art, engineering and heritage. As such, it makes for an intriguing test case for a technology increasingly taking on creative tasks across almost every field of human endeavor: artificial intelligence, or AI. Research published in the International Journal of Systems, Control and Communications describes a computational system that can help AI generate new teapot designs without losing the cultural characteristics that make the craft distinctive.The Yixing Zisha teapot sits neatly at the intersection of art, engineering and heritage. As such, it makes for an intriguing test case for a technology increasingly taking on creative tasks across almost every field of human endeavor: artificial intelligence, or AI. Research published in the International Journal of Systems, Control and Communications describes a computational system that can help AI generate new teapot designs without losing the cultural characteristics that make the craft distinctive.Engineering[#item_full_content]

Doyeon Kim, an undergraduate researcher in the Department of Electronic and Electrical Engineering, has published a paper in an academic journal. The research focuses on implementing drone artificial intelligence (AI) identification technology through low-power semiconductors. This study could dramatically improve the battery efficiency of systems that monitor unauthorized drones in real time in military and industrial environments. The research is published in the journal IEEE Transactions on Industrial Informatics.Doyeon Kim, an undergraduate researcher in the Department of Electronic and Electrical Engineering, has published a paper in an academic journal. The research focuses on implementing drone artificial intelligence (AI) identification technology through low-power semiconductors. This study could dramatically improve the battery efficiency of systems that monitor unauthorized drones in real time in military and industrial environments. The research is published in the journal IEEE Transactions on Industrial Informatics.Energy & Green Tech[#item_full_content]

OpenAI’s CEO Sam Altman has speculated about how long it will take for artificial intelligence to replace senior leadership teams in organizations. “Shame on me,” Altman told the Conversations with Tyler podcast in November 2025, “if OpenAI is not the first big company run by an AI CEO.”OpenAI’s CEO Sam Altman has speculated about how long it will take for artificial intelligence to replace senior leadership teams in organizations. “Shame on me,” Altman told the Conversations with Tyler podcast in November 2025, “if OpenAI is not the first big company run by an AI CEO.”Business[#item_full_content]

As artificial intelligence is gradually being integrated into various industries, human–AI collaboration has become a subject of significant concern. A joint study conducted by the Department of Psychology at Lingnan University has found that while AI helps maintain employee performance during surges in workload, allowing it to autonomously decide when to take over and relinquish control may make it difficult for users to regain situational awareness, thereby increasing mental fatigue and even leading to human-machine conflict.As artificial intelligence is gradually being integrated into various industries, human–AI collaboration has become a subject of significant concern. A joint study conducted by the Department of Psychology at Lingnan University has found that while AI helps maintain employee performance during surges in workload, allowing it to autonomously decide when to take over and relinquish control may make it difficult for users to regain situational awareness, thereby increasing mental fatigue and even leading to human-machine conflict.Machine learning & AI[#item_full_content]

The robots aren’t revolting, but they’re starting to freelance … or so it seems. Recent weeks have seen several high-profile instances of AI going off the leash in ways that have raised alarms among security experts and the public alike.The robots aren’t revolting, but they’re starting to freelance … or so it seems. Recent weeks have seen several high-profile instances of AI going off the leash in ways that have raised alarms among security experts and the public alike.Machine learning & AI[#item_full_content]

Large language models (LLMs), the computational models that underpin conversational agents such as Gemini and ChatGPT, are now widely used by people worldwide to rapidly find information, summarize documents and generate texts for specific purposes. Some computer scientists are now combining two or more of these models to create multi-agent systems, which prompt multiple artificial intelligence (AI) agents to interact, cooperate and/or compete with the goal of completing specific tasks.Large language models (LLMs), the computational models that underpin conversational agents such as Gemini and ChatGPT, are now widely used by people worldwide to rapidly find information, summarize documents and generate texts for specific purposes. Some computer scientists are now combining two or more of these models to create multi-agent systems, which prompt multiple artificial intelligence (AI) agents to interact, cooperate and/or compete with the goal of completing specific tasks.Computer Sciences[#item_full_content]

Meta entered the race for automated coding tools Wednesday when it announced a new app for developers of artificial intelligence products, competing with other major AI labs for customers and revenue.Meta entered the race for automated coding tools Wednesday when it announced a new app for developers of artificial intelligence products, competing with other major AI labs for customers and revenue.Machine learning & AI[#item_full_content]

Last year, Melanie Walsh, a University of Washington assistant professor in the Information School, wrote an article examining how 300 popular children’s books gendered their animal characters. Of the 13 most common animals, most were male—unless they happened to be cats, ducks or birds, which trended slightly more female. But a frog, a wolf? More than a 90% chance it was a “he.”Last year, Melanie Walsh, a University of Washington assistant professor in the Information School, wrote an article examining how 300 popular children’s books gendered their animal characters. Of the 13 most common animals, most were male—unless they happened to be cats, ducks or birds, which trended slightly more female. But a frog, a wolf? More than a 90% chance it was a “he.”Consumer & Gadgets[#item_full_content]

You search online for a pair of sneakers. Minutes later, similar shoes appear on social media feeds. A shopping site offers a limited-time discount and suggests a matching jacket. This is no longer just an ad shown to millions of people. Increasingly, artificial intelligence is helping decide not only what you see but also which sales pitch is most likely to persuade you.You search online for a pair of sneakers. Minutes later, similar shoes appear on social media feeds. A shopping site offers a limited-time discount and suggests a matching jacket. This is no longer just an ad shown to millions of people. Increasingly, artificial intelligence is helping decide not only what you see but also which sales pitch is most likely to persuade you.Consumer & Gadgets[#item_full_content]