As artificial intelligence (AI) technologies become more embedded into our everyday lives and business operations, their high energy demands and environmental impacts call for a more sustainable approach to building algorithms—the sets of instructions used to inform this technology.As artificial intelligence (AI) technologies become more embedded into our everyday lives and business operations, their high energy demands and environmental impacts call for a more sustainable approach to building algorithms—the sets of instructions used to inform this technology.Consumer & Gadgets[#item_full_content]

A quick search on the internet will yield numerous videos showcasing the mishaps of driverless cars, often bringing a smile or laugh. But why do we find these behaviors amusing? It might be because they starkly contrast with how a human driver would handle similar situations.A quick search on the internet will yield numerous videos showcasing the mishaps of driverless cars, often bringing a smile or laugh. But why do we find these behaviors amusing? It might be because they starkly contrast with how a human driver would handle similar situations.Automotive[#item_full_content]

Clouds play a pivotal role in the Earth’s climate and weather. They form in a diversity of distinct patterns and types that can have profoundly different impacts on things such as the water cycle and how radiant energy moves through the atmosphere. Earth-observing satellites have been capturing images for decades and these datasets offer a unique opportunity to study clouds and their impact on the Earth system.Clouds play a pivotal role in the Earth’s climate and weather. They form in a diversity of distinct patterns and types that can have profoundly different impacts on things such as the water cycle and how radiant energy moves through the atmosphere. Earth-observing satellites have been capturing images for decades and these datasets offer a unique opportunity to study clouds and their impact on the Earth system.Machine learning & AI[#item_full_content]

Significant strides in addressing the issue of AI “hallucinations” and improving the reliability of anomaly detection algorithms in critical national infrastructures (CNIs) have been made by scientists based in Bristol’s School of Computer Science.Significant strides in addressing the issue of AI “hallucinations” and improving the reliability of anomaly detection algorithms in critical national infrastructures (CNIs) have been made by scientists based in Bristol’s School of Computer Science.Engineering[#item_full_content]

Modern software applications usually consist of numerous files and several million lines of code. Due to the sheer quantity, finding and correcting faults, known as debugging, is difficult.Modern software applications usually consist of numerous files and several million lines of code. Due to the sheer quantity, finding and correcting faults, known as debugging, is difficult.Software[#item_full_content]

Yuichi Hirose has a dream—a dream that someday everyone will have access to a machine capable of knitting furniture.Yuichi Hirose has a dream—a dream that someday everyone will have access to a machine capable of knitting furniture.Robotics[#item_full_content]

While large language models (LLMs) have demonstrated remarkable capabilities in extracting data and generating connected responses, there are real questions about how these artificial intelligence (AI) models reach their answers. At stake are the potential for unwanted bias or the generation of nonsensical or inaccurate “hallucinations,” both of which can lead to false data.While large language models (LLMs) have demonstrated remarkable capabilities in extracting data and generating connected responses, there are real questions about how these artificial intelligence (AI) models reach their answers. At stake are the potential for unwanted bias or the generation of nonsensical or inaccurate “hallucinations,” both of which can lead to false data.Machine learning & AI[#item_full_content]

A call for collaboration to define the language in all AI related spaces, with a focus on ‘diverse intelligent systems’ that include AI (Artificial Intelligence), LLMs (Large Language Models) and biological intelligences is underway. The study was led by Cortical Labs—the biological computing startup that created “Dishbrain”—and brought together scientists, ethicists and researchers from the United Kingdoms, Canada, U.S., the EU, Australia and Singapore. Together they have proposed a pathway forward to unify the language in the rapidly growing and controversial area.A call for collaboration to define the language in all AI related spaces, with a focus on ‘diverse intelligent systems’ that include AI (Artificial Intelligence), LLMs (Large Language Models) and biological intelligences is underway. The study was led by Cortical Labs—the biological computing startup that created “Dishbrain”—and brought together scientists, ethicists and researchers from the United Kingdoms, Canada, U.S., the EU, Australia and Singapore. Together they have proposed a pathway forward to unify the language in the rapidly growing and controversial area.Machine learning & AI[#item_full_content]

Have you ever wondered how AI chatbots make decisions? This question arose in a classroom at the Cornell Tech campus and prompted a new study from Cornell SC Johnson College of Business that delves into the differences between decision-making processes in human and artificial intelligence.Have you ever wondered how AI chatbots make decisions? This question arose in a classroom at the Cornell Tech campus and prompted a new study from Cornell SC Johnson College of Business that delves into the differences between decision-making processes in human and artificial intelligence.Machine learning & AI[#item_full_content]

As artificial intelligence increasingly impacts our daily lives, researchers in the University at Buffalo School of Management have developed a new framework to transform AI chatbots into more intuitive, human-like conversation partners.As artificial intelligence increasingly impacts our daily lives, researchers in the University at Buffalo School of Management have developed a new framework to transform AI chatbots into more intuitive, human-like conversation partners.Machine learning & AI[#item_full_content]