McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine when human oversight is needed, when additional data should be collected and when a model is being asked to work beyond the conditions it was trained for, the researchers said.McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine when human oversight is needed, when additional data should be collected and when a model is being asked to work beyond the conditions it was trained for, the researchers said.[#item_full_content]
McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine when human oversight is needed, when additional data should be collected and when a model is being asked to work beyond the conditions it was trained for, the researchers said.McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine when human oversight is needed, when additional data should be collected and when a model is being asked to work beyond the conditions it was trained for, the researchers said.Computer Sciences[#item_full_content]
Animated “virtual agents” could help keep the roads of the future safer by alerting people behind the wheel of semiautonomous cars to oncoming hazards, new research suggests.Animated “virtual agents” could help keep the roads of the future safer by alerting people behind the wheel of semiautonomous cars to oncoming hazards, new research suggests.Automotive[#item_full_content]
Imagine finding a very old family photograph that has faded over time. Parts of the image are missing, the faces are blurry, and years spent inside a cardboard album have erased many details. Restoring such an image traditionally would require painstaking manual work or specialized software trained on thousands of examples.Imagine finding a very old family photograph that has faded over time. Parts of the image are missing, the faces are blurry, and years spent inside a cardboard album have erased many details. Restoring such an image traditionally would require painstaking manual work or specialized software trained on thousands of examples.Software[#item_full_content]
An AI model inspired by ants, bees and birds could be key to cracking down on blockchain-based money laundering, new research led by Charles Darwin University (CDU) has found. The study is published in the journal Communications in Computer and Information Science.An AI model inspired by ants, bees and birds could be key to cracking down on blockchain-based money laundering, new research led by Charles Darwin University (CDU) has found. The study is published in the journal Communications in Computer and Information Science.Security[#item_full_content]
For the past 15 years, Christopher Lowry, Ph.D., has led CrowdHydrology, a University at Buffalo citizen-science project that relies on thousands of volunteers to collect water-level observations from streams and other waterways that are not routinely monitored.For the past 15 years, Christopher Lowry, Ph.D., has led CrowdHydrology, a University at Buffalo citizen-science project that relies on thousands of volunteers to collect water-level observations from streams and other waterways that are not routinely monitored.Machine learning & AI[#item_full_content]
In the United States, leading human resources software company Workday is facing a lawsuit over its use of AI-powered job screening tools that allegedly discriminated against applicants based on factors such as age, disability and race.In the United States, leading human resources software company Workday is facing a lawsuit over its use of AI-powered job screening tools that allegedly discriminated against applicants based on factors such as age, disability and race.Machine learning & AI[#item_full_content]
To operate reliably in dynamic real-world settings, robots should be able to acquire new skills quickly without undergoing extensive additional training. Most existing robotic systems, however, primarily perform well on the tasks that they were trained to complete.To operate reliably in dynamic real-world settings, robots should be able to acquire new skills quickly without undergoing extensive additional training. Most existing robotic systems, however, primarily perform well on the tasks that they were trained to complete.Robotics[#item_full_content]
To operate reliably in dynamic real-world settings, robots should be able to acquire new skills quickly without undergoing extensive additional training. Most existing robotic systems, however, primarily perform well on the tasks that they were trained to complete.To operate reliably in dynamic real-world settings, robots should be able to acquire new skills quickly without undergoing extensive additional training. Most existing robotic systems, however, primarily perform well on the tasks that they were trained to complete.[#item_full_content]
New BBC sitcom Ann Droid imagines a near future in which robots provide care and companionship to older people at home.New BBC sitcom Ann Droid imagines a near future in which robots provide care and companionship to older people at home.Machine learning & AI[#item_full_content]
