Across the nation, 911 dispatch centers are facing a worker shortage. Unfortunately, this understaffing, plus the nature of the job itself, leads to dispatchers who are often overworked and stressed. Meanwhile, when community members need to report a crime, their options are to contact 911 for an emergency or, in a non-emergency situation, call a non-emergency number or fill out an online form.Across the nation, 911 dispatch centers are facing a worker shortage. Unfortunately, this understaffing, plus the nature of the job itself, leads to dispatchers who are often overworked and stressed. Meanwhile, when community members need to report a crime, their options are to contact 911 for an emergency or, in a non-emergency situation, call a non-emergency number or fill out an online form.[#item_full_content]

Researchers have developed a new type of optical memory called a programmable photonic latch that is fast and scalable. This fundamental memory unit enables temporary data storage in optical processing systems, offering a high-speed solution for volatile memory using silicon photonics.Researchers have developed a new type of optical memory called a programmable photonic latch that is fast and scalable. This fundamental memory unit enables temporary data storage in optical processing systems, offering a high-speed solution for volatile memory using silicon photonics.[#item_full_content]

An English literature graduate turned data scientist has developed a new method for large language models (LLMs) used by AI chatbots to understand and analyze small chunks of text, such as those on social media profiles, in customer responses online or for understanding online posts responding to disaster events.An English literature graduate turned data scientist has developed a new method for large language models (LLMs) used by AI chatbots to understand and analyze small chunks of text, such as those on social media profiles, in customer responses online or for understanding online posts responding to disaster events.[#item_full_content]

Computer animators and video game designers may soon have a better way to create the purple-green sheen of a grackle’s wing, or the pink flash on a hummingbird’s throat, thanks to a new method for rendering iridescent feathers.Computer animators and video game designers may soon have a better way to create the purple-green sheen of a grackle’s wing, or the pink flash on a hummingbird’s throat, thanks to a new method for rendering iridescent feathers.[#item_full_content]

Using deep learning models, scientists at Sharjah University have designed techniques to automatically predict suitable image dimensions to fit different screens or devices far more efficiently and effectively than current technologies used for image cropping and resizing.Using deep learning models, scientists at Sharjah University have designed techniques to automatically predict suitable image dimensions to fit different screens or devices far more efficiently and effectively than current technologies used for image cropping and resizing.[#item_full_content]

A small team of researchers from the U.S. and the U.K. has resurrected the code for a 60-year-old chatbot named ELIZA, believed to be the first electronic chatbot. In their paper posted to the arXiv preprint server, the team describes the code written in the 1960s by now-deceased MIT professor Joseph Weizenbaum.A small team of researchers from the U.S. and the U.K. has resurrected the code for a 60-year-old chatbot named ELIZA, believed to be the first electronic chatbot. In their paper posted to the arXiv preprint server, the team describes the code written in the 1960s by now-deceased MIT professor Joseph Weizenbaum.[#item_full_content]

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential data, such as tracking patterns over time or analyzing sequences. It is widely used in areas such as finance, robotics, speech recognition, weather forecasting, natural language processing, and predicting complex nonlinear dynamical systems. What sets RC apart is its efficiency―it delivers powerful results with much lower training costs compared to other methods.Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential data, such as tracking patterns over time or analyzing sequences. It is widely used in areas such as finance, robotics, speech recognition, weather forecasting, natural language processing, and predicting complex nonlinear dynamical systems. What sets RC apart is its efficiency―it delivers powerful results with much lower training costs compared to other methods.[#item_full_content]

A recent report produced by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab), which outlines the energy use of data centers from 2014 to 2028, estimates that data center load growth has tripled over the past decade and is projected to double or triple by 2028.A recent report produced by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab), which outlines the energy use of data centers from 2014 to 2028, estimates that data center load growth has tripled over the past decade and is projected to double or triple by 2028.[#item_full_content]

Filling gaps in data sets or identifying outliers—that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This artificial intelligence (AI) uses learning methods inspired by large language models. TabPFN learns causal relationships from synthetic data and is therefore more likely to make correct predictions than the standard algorithms that have been used up to now.Filling gaps in data sets or identifying outliers—that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This artificial intelligence (AI) uses learning methods inspired by large language models. TabPFN learns causal relationships from synthetic data and is therefore more likely to make correct predictions than the standard algorithms that have been used up to now.[#item_full_content]

Cultural and social biases significantly influence Wikipedia’s multilingual content, according to a team of researchers that includes a computer scientist from Johns Hopkins University.Cultural and social biases significantly influence Wikipedia’s multilingual content, according to a team of researchers that includes a computer scientist from Johns Hopkins University.[#item_full_content]