A code-reuse attack named coroutine frame-oriented programming (CFOP) is capable of exploiting C++ coroutines across three major compilers, namely Clang/LLVM, GCC and MSVC. CFOP even succeeds in environments that are protected by control flow integrity (CFI), exposing relevant gaps in 15 of these defense schemes.A code-reuse attack named coroutine frame-oriented programming (CFOP) is capable of exploiting C++ coroutines across three major compilers, namely Clang/LLVM, GCC and MSVC. CFOP even succeeds in environments that are protected by control flow integrity (CFI), exposing relevant gaps in 15 of these defense schemes.[#item_full_content]

LLMs that emulate human speech are being used to cost-effectively test assumptions and run pilot studies, producing promising early results. But researchers note that human data remains essential.LLMs that emulate human speech are being used to cost-effectively test assumptions and run pilot studies, producing promising early results. But researchers note that human data remains essential.[#item_full_content]

Lighting plays a crucial role when it comes to visual storytelling. Whether it’s film or photography, creators spend countless hours, and often significant budgets, crafting the perfect illumination for their shot. But once a photograph or video is captured, the illumination is essentially fixed. Adjusting it afterward, a task called “relighting,” typically demands time-consuming manual work by skilled artists.Lighting plays a crucial role when it comes to visual storytelling. Whether it’s film or photography, creators spend countless hours, and often significant budgets, crafting the perfect illumination for their shot. But once a photograph or video is captured, the illumination is essentially fixed. Adjusting it afterward, a task called “relighting,” typically demands time-consuming manual work by skilled artists.[#item_full_content]

A new artificial intelligence (AI) tool could make it much easier—and cheaper—for doctors and researchers to train medical imaging software, even when only a small number of patient scans are available.A new artificial intelligence (AI) tool could make it much easier—and cheaper—for doctors and researchers to train medical imaging software, even when only a small number of patient scans are available.[#item_full_content]

Guilt is a highly advantageous quality for society as a whole. It might not prevent initial wrongdoings, but guilt allows humans to judge their own prior judgments as harmful and prevents them from happening again. The internal distress caused by feelings of guilt often—but not always—results in the person taking on some kind of penance to relieve themselves from internal turmoil. This might be something as simple as admitting their wrongdoing to others and taking on a slight stigma of someone who is morally corrupt. This upfront cost might be initially painful, but can relieve further guilt and lead to better cooperation for the group in the future.Guilt is a highly advantageous quality for society as a whole. It might not prevent initial wrongdoings, but guilt allows humans to judge their own prior judgments as harmful and prevents them from happening again. The internal distress caused by feelings of guilt often—but not always—results in the person taking on some kind of penance to relieve themselves from internal turmoil. This might be something as simple as admitting their wrongdoing to others and taking on a slight stigma of someone who is morally corrupt. This upfront cost might be initially painful, but can relieve further guilt and lead to better cooperation for the group in the future.[#item_full_content]

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science parlance, the molecule is “symmetric,” meaning the fundamental structure of that molecule remains the same if it undergoes certain transformations, like rotation.If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science parlance, the molecule is “symmetric,” meaning the fundamental structure of that molecule remains the same if it undergoes certain transformations, like rotation.[#item_full_content]

Faulty ranking mechanisms used in AI leaderboards can be overcome through approaches evaluated at the University of Michigan.Faulty ranking mechanisms used in AI leaderboards can be overcome through approaches evaluated at the University of Michigan.[#item_full_content]

To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our perceptions influence outputs.To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our perceptions influence outputs.[#item_full_content]

Artificial intelligence tools called large language models (LLMs), such as OpenAI’s ChatGPT or Google’s Gemini, can do a lot these days—dispensing relationship advice, crafting texts to get you out of social obligations and even writing science articles.Artificial intelligence tools called large language models (LLMs), such as OpenAI’s ChatGPT or Google’s Gemini, can do a lot these days—dispensing relationship advice, crafting texts to get you out of social obligations and even writing science articles.[#item_full_content]

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the “space” in which AI “thinks” can create explosive memory recall—an effect similar to a lightbulb moment in the human brain. The research opens new paths for brain-inspired computing, neuroscience, and even next-gen robotics, offering tools to better understand memory itself.A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the “space” in which AI “thinks” can create explosive memory recall—an effect similar to a lightbulb moment in the human brain. The research opens new paths for brain-inspired computing, neuroscience, and even next-gen robotics, offering tools to better understand memory itself.[#item_full_content]