Machine Learning and Artificial Intelligence

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in the International Journal of Reasoning-based Intelligent Systems shows how artificial intelligence (AI) might be able to carry out real-time... Read more

It's a familiar feeling: You start a text message, and your phone's autocomplete function suggests several choices for the next word, ranging from banal to hilarious. "I love…" you, or coffee? Or you're finishing an email, and merely typing the word "Let" prompts your app to suggest "Let me know... Read more

The integration of large language model-based AI chatbots into multiple facets of our everyday lives has opened us up to advantages that would have been considered impossible even a decade ago. The same development has, however, opened us up to unforeseen risks, including the impact that engaging with AI chatbots... Read more

As self-driving cars begin operating in cities, a question remains about how to make them work in rural areas with limited telecommunications infrastructure. New research from Washington State University suggests a potential answer, demonstrating that a small, affordable computer running a compressed large-language model may be an effective decision-maker for... Read more

Nvidia announced Monday that it was joining the OpenClaw craze, unveiling tools to bring AI agents—which can manage your email, files and calendar while you sleep—into the corporate world.... Read more

Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These "hallucinations" are problematic not only because they convey falsehoods, but also because they reduce efficiency—sorting through content to search for mistakes of AI outputs is time-consuming.... Read more

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in dense urban environments where high-rise buildings deteriorate signal propagation. In his doctoral dissertation at the University of Vaasa, Akpojoto Siemuri investigates how adaptive machine learning and advanced sensor fusion methods... Read more

Electrical distribution systems are characterized by dynamic operating conditions and complex network topologies, which pose significant challenges for the effective deployment of protection schemes. While impedance relays are widely used in high-voltage transmission systems, their application in medium-voltage distribution networks has been relatively limited due to operational and structural constraints.... Read more

A research team led by Lee Hyun Jun and Noh Hee Yeon from the Division of Nanotechnology at DGIST has succeeded in implementing the world's first two-terminal-based artificial intelligence (AI) semiconductor that precisely controls hydrogen with electrical signals to enable self-learning and memory. The team's work appears in Advanced Science.... Read more

Again and again, Washington State University professor Mesut Cicek and his colleagues fed hypotheses from scientific papers into ChatGPT and asked it to determine whether the statements had been upheld by research—whether they were true or false. They did this with more than 700 hypotheses, repeating each query 10 times.... Read more

Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be processed at a centralized large data center. This approach could allow artificial intelligence (AI) models and other computational systems to... Read more

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing information overload. However, when users join a new online platform, recommendation systems often struggle to understand their preferences. With no prior interactions in the new environment, these "cold-start" users are difficult to serve accurately.... Read more

As more businesses trust artificial intelligence "agents" to independently grow their revenues, some insurance firms are stepping in to cover any mistakes—while others are steering clear.... Read more

Curiosity-driven research has long sparked technological transformations. A century ago, curiosity about atoms led to quantum mechanics, and eventually the transistor at the heart of modern computing. Conversely, the steam engine was a practical breakthrough, but it took fundamental research in thermodynamics to fully harness its power.... Read more

New research published in Machine Learning shows pattern learning is not enough to train AI to tackle games—and abstract representations or hybrid approaches may help. Many AI researchers describe game-playing as the "Formula 1" of AI: it's a controlled test environment with clear rules and clear success criteria. This paper... Read more