When 24 different state-of-the-art Large Language Models (LLMs) were administered a battery of different tests designed to reveal political orientation, a significant majority produced responses rated as left-of-center, according to a study published July 31, 2024 in the open-access journal PLOS ONE by David Rozado from Otago Polytechnic, New Zealand.When 24 different state-of-the-art Large Language Models (LLMs) were administered a battery of different tests designed to reveal political orientation, a significant majority produced responses rated as left-of-center, according to a study published July 31, 2024 in the open-access journal PLOS ONE by David Rozado from Otago Polytechnic, New Zealand.Machine learning & AI[#item_full_content]

Whether it’s the Oscars, the Tonys, or the Grammys, observers annually make predictions as to which actor, film, musical, or song will win these coveted awards—with forecasts based on what experts say impresses the voters. “Grammy voters love to give Record of the Year to a carefully crafted throwback jam,” the Los Angeles Times wrote ahead of this year’s Grammy Awards.Whether it’s the Oscars, the Tonys, or the Grammys, observers annually make predictions as to which actor, film, musical, or song will win these coveted awards—with forecasts based on what experts say impresses the voters. “Grammy voters love to give Record of the Year to a carefully crafted throwback jam,” the Los Angeles Times wrote ahead of this year’s Grammy Awards.Computer Sciences[#item_full_content]

When you go to the hospital and get a blood test, the results are put in a dataset and compared with other patients’ results and population data. This lets doctors compare you (your blood, age, sex, health history, scans, etc) to other patients’ results and histories, allowing them to predict, manage and develop new treatments.When you go to the hospital and get a blood test, the results are put in a dataset and compared with other patients’ results and population data. This lets doctors compare you (your blood, age, sex, health history, scans, etc) to other patients’ results and histories, allowing them to predict, manage and develop new treatments.Machine learning & AI[#item_full_content]

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]