Getting to the heart of causality is central to understanding the world around us. What causes one variable—be it a biological species, a voting region, a company stock, or a local climate—to shift from one state to another can inform how we might shape that variable in the future.Getting to the heart of causality is central to understanding the world around us. What causes one variable—be it a biological species, a voting region, a company stock, or a local climate—to shift from one state to another can inform how we might shape that variable in the future.[#item_full_content]

Have you ever looked at a piece of writing and thought something might be “off”? It might be hard to pinpoint exactly what it is. There might be too many adjectives or the sentence structure might be overly repetitious. It might get you thinking, “Did a human write this or was it generated by artificial intelligence?”Have you ever looked at a piece of writing and thought something might be “off”? It might be hard to pinpoint exactly what it is. There might be too many adjectives or the sentence structure might be overly repetitious. It might get you thinking, “Did a human write this or was it generated by artificial intelligence?”[#item_full_content]

Researchers have long sought to harness the power of light for computing, aiming to achieve higher speeds and lower energy consumption compared to traditional electronic systems. Optical computing, which uses light instead of electricity to perform calculations, promises significant advantages, including high parallelism and efficiency. However, implementing complex logic operations optically has been a challenge, limiting the practical applications of optical computing.Researchers have long sought to harness the power of light for computing, aiming to achieve higher speeds and lower energy consumption compared to traditional electronic systems. Optical computing, which uses light instead of electricity to perform calculations, promises significant advantages, including high parallelism and efficiency. However, implementing complex logic operations optically has been a challenge, limiting the practical applications of optical computing.[#item_full_content]

A work environment that supports diverse problem solvers is a nonnegotiable for successful design teams. Chris McComb, expert on human-AI teaming, and his team of researchers are bridging the cognitive gaps between members of a team by incorporating cognitive styles into large language models, empowering teams to more easily harness individuals’ unique strengths.A work environment that supports diverse problem solvers is a nonnegotiable for successful design teams. Chris McComb, expert on human-AI teaming, and his team of researchers are bridging the cognitive gaps between members of a team by incorporating cognitive styles into large language models, empowering teams to more easily harness individuals’ unique strengths.[#item_full_content]

Cornell researchers developed a more equitable method for choosing top candidates from a large applicant pool in cases where insufficient information makes it hard to choose.Cornell researchers developed a more equitable method for choosing top candidates from a large applicant pool in cases where insufficient information makes it hard to choose.[#item_full_content]

When you visit a doctor, information such as medication prescriptions, X-rays, and genetic tests is recorded to assist the physician. In these cases, a technology called federated learning, or collaborative learning, is used to reduce the risk of exposing sensitive data. This technology allows multiple devices to work together without sharing actual data with each other.When you visit a doctor, information such as medication prescriptions, X-rays, and genetic tests is recorded to assist the physician. In these cases, a technology called federated learning, or collaborative learning, is used to reduce the risk of exposing sensitive data. This technology allows multiple devices to work together without sharing actual data with each other.[#item_full_content]

Blindly following GPS navigation can lead to difficult situations on the road. A research team has analyzed such incidents and is in favor of delegating more personal responsibility to drivers.Blindly following GPS navigation can lead to difficult situations on the road. A research team has analyzed such incidents and is in favor of delegating more personal responsibility to drivers.[#item_full_content]

Robots can navigate efficiently through crowds of people by cleverly alternating between independent and cooperative behavior, and in such a way that they disturb the people around them as little as possible. This is the result of a study by TU Professor Roderich Groß posted to the arXiv preprint server.Robots can navigate efficiently through crowds of people by cleverly alternating between independent and cooperative behavior, and in such a way that they disturb the people around them as little as possible. This is the result of a study by TU Professor Roderich Groß posted to the arXiv preprint server.[#item_full_content]

Two experts with the OpenAI team have developed a new kind of continuous-time consistency model (sCM) that they claim can generate video media 50 times faster than models currently in use. Cheng Lu and Yang Song have published a paper describing their new model on the arXiv preprint server. They have also posted an introductory paper on the company’s website.Two experts with the OpenAI team have developed a new kind of continuous-time consistency model (sCM) that they claim can generate video media 50 times faster than models currently in use. Cheng Lu and Yang Song have published a paper describing their new model on the arXiv preprint server. They have also posted an introductory paper on the company’s website.[#item_full_content]

As technology advances, the limitations of conventional electronic computers are becoming increasingly apparent, especially when tackling complex computational challenges. NP-complete problems, which grow exponentially with size, represent some of the toughest puzzles in computer science. These issues have significant implications across various fields, including biomedicine, transportation, and manufacturing. In the quest for more effective solutions, researchers are exploring alternatives to traditional computing methods, with optical computing emerging as a promising avenue.As technology advances, the limitations of conventional electronic computers are becoming increasingly apparent, especially when tackling complex computational challenges. NP-complete problems, which grow exponentially with size, represent some of the toughest puzzles in computer science. These issues have significant implications across various fields, including biomedicine, transportation, and manufacturing. In the quest for more effective solutions, researchers are exploring alternatives to traditional computing methods, with optical computing emerging as a promising avenue.[#item_full_content]