AI is showing up in nearly every aspect of daily life—from internet searches to visits to the doctor’s office. It could one day even play a role in the street layout in front of your apartment building.AI is showing up in nearly every aspect of daily life—from internet searches to visits to the doctor’s office. It could one day even play a role in the street layout in front of your apartment building.Engineering[#item_full_content]

The common belief throughout the marketing and advertising world is that generative AI can produce striking visuals, but it struggles to match the performance and brand discipline of skilled human designers. New research published in the journal Marketing Science challenges that assumption, finding that a carefully designed AI system can outperform visuals created by humans, and it can outperform designs created by another AI model that was optimized solely on the basis of aesthetics.The common belief throughout the marketing and advertising world is that generative AI can produce striking visuals, but it struggles to match the performance and brand discipline of skilled human designers. New research published in the journal Marketing Science challenges that assumption, finding that a carefully designed AI system can outperform visuals created by humans, and it can outperform designs created by another AI model that was optimized solely on the basis of aesthetics.Business[#item_full_content]

Cyborg insects combine the mobility of living organisms with miniature electronic devices, offering potential applications in search-and-rescue operations, infrastructure inspection and exploration of environments that are difficult for conventional robots.Cyborg insects combine the mobility of living organisms with miniature electronic devices, offering potential applications in search-and-rescue operations, infrastructure inspection and exploration of environments that are difficult for conventional robots.Robotics[#item_full_content]

What happens when companies on digital labor platforms no longer decide for themselves how much to pay their workers, but leave this to learning algorithms? Researchers at TU Darmstadt, Bielefeld University and the Université Côte d’Azur have demonstrated in computer simulations that, where only a few firms compete with one another, such artificial intelligence (AI) systems can “learn” to set wages at a very low level without communicating with one another or having been programmed to collude.What happens when companies on digital labor platforms no longer decide for themselves how much to pay their workers, but leave this to learning algorithms? Researchers at TU Darmstadt, Bielefeld University and the Université Côte d’Azur have demonstrated in computer simulations that, where only a few firms compete with one another, such artificial intelligence (AI) systems can “learn” to set wages at a very low level without communicating with one another or having been programmed to collude.Business[#item_full_content]

Chatbots and large language models can execute a seemingly countless number of tasks, from writing emails and reports to generating code and analyzing data. However, they still primarily act only in response to user prompts and rely on their own predictive models to generate text.Chatbots and large language models can execute a seemingly countless number of tasks, from writing emails and reports to generating code and analyzing data. However, they still primarily act only in response to user prompts and rely on their own predictive models to generate text.Machine learning & AI[#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]