When you visit a hospital, artificial intelligence (AI) models can assist doctors by analyzing medical images or predicting patient outcomes based on historical data. If you apply for a job, AI algorithms can be used to screen resumés, rank job candidates and even conduct initial interviews. When you want to watch a movie on Netflix, a recommendation algorithm predicts which movies you’re likely to enjoy based on your viewing habits. Even when you are driving, predictive algorithms are at work in navigation apps like Waze and Google Maps, optimizing routes and predicting traffic patterns to ensure faster travel.When you visit a hospital, artificial intelligence (AI) models can assist doctors by analyzing medical images or predicting patient outcomes based on historical data. If you apply for a job, AI algorithms can be used to screen resumés, rank job candidates and even conduct initial interviews. When you want to watch a movie on Netflix, a recommendation algorithm predicts which movies you’re likely to enjoy based on your viewing habits. Even when you are driving, predictive algorithms are at work in navigation apps like Waze and Google Maps, optimizing routes and predicting traffic patterns to ensure faster travel.[#item_full_content]

A trio of AI researchers from Cornell University, Signal Foundation, and Now Institute have published a Perspective piece in the journal Nature, arguing that well-known open LLMs are not nearly as open as their makers claim.A trio of AI researchers from Cornell University, Signal Foundation, and Now Institute have published a Perspective piece in the journal Nature, arguing that well-known open LLMs are not nearly as open as their makers claim.[#item_full_content]

A common challenge for marketers is understanding and engaging with people who have “thin” data profiles, such as donors with little demographic information or brief interaction histories that leave organizations without a clear picture of their interests.A common challenge for marketers is understanding and engaging with people who have “thin” data profiles, such as donors with little demographic information or brief interaction histories that leave organizations without a clear picture of their interests.[#item_full_content]

For the first time, CISPA researcher Aleksei Stafeev presents a study that systematizes the knowledge about tools for the automated analysis of websites, so-called web crawlers, in the field of web security measurement.For the first time, CISPA researcher Aleksei Stafeev presents a study that systematizes the knowledge about tools for the automated analysis of websites, so-called web crawlers, in the field of web security measurement.[#item_full_content]

Large language models (LLMs), such as Open AI’s renowned conversational platform ChatGPT, have recently become increasingly widespread, with many internet users relying on them to find information quickly and produce texts for various purposes. Yet most of these models perform significantly better on computers, due to the high computational demands associated with their size and data processing capabilities.Large language models (LLMs), such as Open AI’s renowned conversational platform ChatGPT, have recently become increasingly widespread, with many internet users relying on them to find information quickly and produce texts for various purposes. Yet most of these models perform significantly better on computers, due to the high computational demands associated with their size and data processing capabilities.[#item_full_content]

The large language model of the OpenGPT-X research project is now available for download on Hugging Face: “Teuken-7B” has been trained from scratch in all 24 official languages of the European Union and contains 7 billion parameters.The large language model of the OpenGPT-X research project is now available for download on Hugging Face: “Teuken-7B” has been trained from scratch in all 24 official languages of the European Union and contains 7 billion parameters.[#item_full_content]

A design structure matrix (DSM) is a visual analysis tool used for system modeling. Simple and concise, it uses an NxN square matrix to represent the relationships between N system elements. Data collection for DSM generation is traditionally done via surveys and interviews, but because these require domain experts and a lot of hours or even days to go through product models, the process becomes lengthy and expensive.A design structure matrix (DSM) is a visual analysis tool used for system modeling. Simple and concise, it uses an NxN square matrix to represent the relationships between N system elements. Data collection for DSM generation is traditionally done via surveys and interviews, but because these require domain experts and a lot of hours or even days to go through product models, the process becomes lengthy and expensive.[#item_full_content]

Large language models (LLMs) are increasingly automating tasks like translation, text classification and customer service. But tapping into an LLM’s power typically requires users to send their requests to a centralized server—a process that’s expensive, energy-intensive and often slow.Large language models (LLMs) are increasingly automating tasks like translation, text classification and customer service. But tapping into an LLM’s power typically requires users to send their requests to a centralized server—a process that’s expensive, energy-intensive and often slow.[#item_full_content]

New research by Loughborough University warns that global renewable electricity supply will be unable to meet the surging demand from digital data by 2025.New research by Loughborough University warns that global renewable electricity supply will be unable to meet the surging demand from digital data by 2025.[#item_full_content]

Researchers from Peking University have developed ERTool, an open-source Python package designed to simplify the implementation of the Evidential Reasoning (ER) approach for multi-source evidence fusion. This tool addresses the challenges of integrating data from multiple sources in uncertain decision-making environments. The results are published in Health Data Science.Researchers from Peking University have developed ERTool, an open-source Python package designed to simplify the implementation of the Evidential Reasoning (ER) approach for multi-source evidence fusion. This tool addresses the challenges of integrating data from multiple sources in uncertain decision-making environments. The results are published in Health Data Science.[#item_full_content]