Art has been around for centuries, but in the age of artificial intelligence, one University of Houston researcher is examining whether generative AI helps or hurts creativity. Jinghui Hou, lead author and assistant professor in the C. T. Bauer College of Business, began researching AI’s impact on creativity when the applications first became popular. Hou and her team recently analyzed the nuances of how generative AI can influence creativity, depending on the context, in a paper published in Information Systems Research.Art has been around for centuries, but in the age of artificial intelligence, one University of Houston researcher is examining whether generative AI helps or hurts creativity. Jinghui Hou, lead author and assistant professor in the C. T. Bauer College of Business, began researching AI’s impact on creativity when the applications first became popular. Hou and her team recently analyzed the nuances of how generative AI can influence creativity, depending on the context, in a paper published in Information Systems Research.Machine learning & AI[#item_full_content]

As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify safety issues before they impact critical applications, Johns Hopkins researchers have developed a renewable and sustainable framework for evaluating LLMs that simplifies different types of attacks into high-quality, easily updatable safety tests—all while requiring minimal human effort to run.As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify safety issues before they impact critical applications, Johns Hopkins researchers have developed a renewable and sustainable framework for evaluating LLMs that simplifies different types of attacks into high-quality, easily updatable safety tests—all while requiring minimal human effort to run.Machine learning & AI[#item_full_content]

Artificial intelligence-powered writing tools such as autocomplete suggestions can definitely change the way people express themselves, but can they also change how they think? Cornell Tech researchers think so.Artificial intelligence-powered writing tools such as autocomplete suggestions can definitely change the way people express themselves, but can they also change how they think? Cornell Tech researchers think so.Consumer & Gadgets[#item_full_content]

Even with no fur in the frame, you can easily see that a photo of a hairless Sphynx cat depicts a cat. You wouldn’t mistake it for an elephant.Even with no fur in the frame, you can easily see that a photo of a hairless Sphynx cat depicts a cat. You wouldn’t mistake it for an elephant.Machine learning & AI[#item_full_content]

Inspired by the infrared sensory organs of snakes, which allow them to detect prey in complete darkness, researchers at UNIST have harnessed artificial intelligence (AI) to develop a sensor material that significantly enhances thermal detection capabilities. This advancement promises to elevate the performance of next-generation infrared cameras, night-vision systems for vehicles, and various applications requiring sensitive thermal sensing.Inspired by the infrared sensory organs of snakes, which allow them to detect prey in complete darkness, researchers at UNIST have harnessed artificial intelligence (AI) to develop a sensor material that significantly enhances thermal detection capabilities. This advancement promises to elevate the performance of next-generation infrared cameras, night-vision systems for vehicles, and various applications requiring sensitive thermal sensing.Hi Tech & Innovation[#item_full_content]

The conversation around AI and art generally swings between two extremes: a flood of AI slop or the total automation of creative work. The more desirable approach may be an AI that behaves as a useful collaborator. But thus far, visual artists working with text-to-image tools confront frustrating basic hurdles in their abilities to direct AI. Ask an AI to create an image of a house? Not too difficult. Direct it to make the house red, with four front-facing windows, a chimney, and ivy covering the left side? Good luck.The conversation around AI and art generally swings between two extremes: a flood of AI slop or the total automation of creative work. The more desirable approach may be an AI that behaves as a useful collaborator. But thus far, visual artists working with text-to-image tools confront frustrating basic hurdles in their abilities to direct AI. Ask an AI to create an image of a house? Not too difficult. Direct it to make the house red, with four front-facing windows, a chimney, and ivy covering the left side? Good luck.Machine learning & AI[#item_full_content]

AI chatbots are standardizing how people speak, write, and think. If this homogenization continues unchecked, it risks reducing humanity’s collective wisdom and ability to adapt, computer scientists and psychologists argue in an opinion paper published in Trends in Cognitive Sciences.AI chatbots are standardizing how people speak, write, and think. If this homogenization continues unchecked, it risks reducing humanity’s collective wisdom and ability to adapt, computer scientists and psychologists argue in an opinion paper published in Trends in Cognitive Sciences.Computer Sciences[#item_full_content]

A team led by engineers at the University of California San Diego has developed a new brain-inspired hardware platform that could help computer hardware keep pace with the explosive growth of artificial intelligence. By combining memory and computation on the same chip—and allowing its components to interact collectively like neurons in the brain—the brain-inspired platform improved the speed, accuracy, and energy efficiency of pattern recognition in two simulated tasks: recognizing spoken digits and detecting epileptic seizures early from brain-wave recordings.A team led by engineers at the University of California San Diego has developed a new brain-inspired hardware platform that could help computer hardware keep pace with the explosive growth of artificial intelligence. By combining memory and computation on the same chip—and allowing its components to interact collectively like neurons in the brain—the brain-inspired platform improved the speed, accuracy, and energy efficiency of pattern recognition in two simulated tasks: recognizing spoken digits and detecting epileptic seizures early from brain-wave recordings.Hardware[#item_full_content]

Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers are identified. Using a single 3D deep learning model, researchers are able to detect three major causes of road accidents simultaneously: blood alcohol concentration, fatigue and expression, such as anger.Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers are identified. Using a single 3D deep learning model, researchers are able to detect three major causes of road accidents simultaneously: blood alcohol concentration, fatigue and expression, such as anger.Automotive[#item_full_content]

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing techniques. Their method uses a specialized vision-language model to perceive the scenario in an image and simulate actions needed to reach a goal. Then a second model translates those simulations into a standard programming language for planning problems, and refines the solution.MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing techniques. Their method uses a specialized vision-language model to perceive the scenario in an image and simulate actions needed to reach a goal. Then a second model translates those simulations into a standard programming language for planning problems, and refines the solution.Robotics[#item_full_content]