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]

Large language models (LLMs) are machine-learning models designed to understand and generate human language. State-of-the-art LLMs have demonstrated outstanding potential in open-domain question answering (ODQA), where the model is tasked with providing answers to factual questions.Large language models (LLMs) are machine-learning models designed to understand and generate human language. State-of-the-art LLMs have demonstrated outstanding potential in open-domain question answering (ODQA), where the model is tasked with providing answers to factual questions.[#item_full_content]

Researchers at Apple Computer Company have found evidence, via testing, showing that the seemingly intelligent responses given by AI-based LLMs are little more than an illusion. In their paper posted on the arXiv preprint server, the researchers argue that after testing several LLMs, they found that they are not capable of performing genuine logical reasoning.Researchers at Apple Computer Company have found evidence, via testing, showing that the seemingly intelligent responses given by AI-based LLMs are little more than an illusion. In their paper posted on the arXiv preprint server, the researchers argue that after testing several LLMs, they found that they are not capable of performing genuine logical reasoning.[#item_full_content]