A team of AI researchers at Google’s DeepMind project have developed a type of AI system that is able to demonstrate social learning capabilities. In their paper published in the journal Nature Communications, the group describes how they developed an AI application that showed it was capable of learning new skills in a virtual world by copying the actions of an implanted “expert.”A team of AI researchers at Google’s DeepMind project have developed a type of AI system that is able to demonstrate social learning capabilities. In their paper published in the journal Nature Communications, the group describes how they developed an AI application that showed it was capable of learning new skills in a virtual world by copying the actions of an implanted “expert.”[#item_full_content]

OpenAI’s artificial intelligence (AI) chatbot ChatGPT was unleashed onto an unsuspecting public exactly one year ago.OpenAI’s artificial intelligence (AI) chatbot ChatGPT was unleashed onto an unsuspecting public exactly one year ago.[#item_full_content]

A team of researchers affiliated with AI startups Gen AI, Meta, AutoGPT, HuggingFace and Fair Meta, has developed a benchmark tool for use by makers of AI assistants, particularly those that make Large Language Model based products, to test their applications as potential Artificial General Intelligence (AGI) applications. They have written a paper describing their tool, which they have named GAIA, and how it can be used. The article is posted on the arXiv preprint server.A team of researchers affiliated with AI startups Gen AI, Meta, AutoGPT, HuggingFace and Fair Meta, has developed a benchmark tool for use by makers of AI assistants, particularly those that make Large Language Model based products, to test their applications as potential Artificial General Intelligence (AGI) applications. They have written a paper describing their tool, which they have named GAIA, and how it can be used. The article is posted on the arXiv preprint server.[#item_full_content]

Efficiently meeting the growing demand for public services in metropolitan areas has long been a persistent challenge. A research team at City University of Hong Kong (CityU) has developed a novel performance evaluation method, which marks a major breakthrough in tackling a century-old problem of evaluating blocking probabilities in queueing systems with overflow, providing ways to allocate limited resources better.Efficiently meeting the growing demand for public services in metropolitan areas has long been a persistent challenge. A research team at City University of Hong Kong (CityU) has developed a novel performance evaluation method, which marks a major breakthrough in tackling a century-old problem of evaluating blocking probabilities in queueing systems with overflow, providing ways to allocate limited resources better.[#item_full_content]

ChatGPT was launched on Nov. 30, 2022, ushering in what many have called artificial intelligence’s breakout year. Within days of its release, ChatGPT went viral. Screenshots of conversations snowballed across social media, and the use of ChatGPT skyrocketed to an extent that seems to have surprised even its maker, OpenAI. By January, ChatGPT was seeing 13 million unique visitors each day, setting a record for the fastest-growing user base of a consumer application.ChatGPT was launched on Nov. 30, 2022, ushering in what many have called artificial intelligence’s breakout year. Within days of its release, ChatGPT went viral. Screenshots of conversations snowballed across social media, and the use of ChatGPT skyrocketed to an extent that seems to have surprised even its maker, OpenAI. By January, ChatGPT was seeing 13 million unique visitors each day, setting a record for the fastest-growing user base of a consumer application.[#item_full_content]

What does a person look like? If you use the popular artificial intelligence image generator Stable Diffusion to conjure answers, too frequently you’ll see images of light-skinned men.What does a person look like? If you use the popular artificial intelligence image generator Stable Diffusion to conjure answers, too frequently you’ll see images of light-skinned men.[#item_full_content]

Mathematicians from RUDN University have proposed a new scheme for 5G networks that optimizes access to different network segments. The number of non-priority tasks awaiting the start of execution or interruption has halved, while the probability of disconnection for them does not exceed 0.1%. The results are published in the journal Mathematics.Mathematicians from RUDN University have proposed a new scheme for 5G networks that optimizes access to different network segments. The number of non-priority tasks awaiting the start of execution or interruption has halved, while the probability of disconnection for them does not exceed 0.1%. The results are published in the journal Mathematics.[#item_full_content]

Led by Dr. Jue Ruan and Dr. Weihua Pan, a study published in the journal National Science Review delves into the realm of DNA digital storage (DDS), a technology acclaimed for its high-density (EB/g), long-term (million years) and low maintenance costs, offering a promising solution for the ever-growing demands of big data storage.Led by Dr. Jue Ruan and Dr. Weihua Pan, a study published in the journal National Science Review delves into the realm of DNA digital storage (DDS), a technology acclaimed for its high-density (EB/g), long-term (million years) and low maintenance costs, offering a promising solution for the ever-growing demands of big data storage.[#item_full_content]

Researchers from EPFL have just released Meditron, the world’s best performing open source large language model tailored to the medical field designed to help guide clinical decision-making.Researchers from EPFL have just released Meditron, the world’s best performing open source large language model tailored to the medical field designed to help guide clinical decision-making.[#item_full_content]

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical challenge. Shi-Ju Ran of Capital Normal University and Gang Su of the University of the Chinese Academy of Sciences have reviewed an innovative approach based on tensor networks, drawing inspiration from quantum mechanics. This approach offers a promising solution to the long-standing challenge of reconciling interpretability and efficiency in deep machine learning.Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical challenge. Shi-Ju Ran of Capital Normal University and Gang Su of the University of the Chinese Academy of Sciences have reviewed an innovative approach based on tensor networks, drawing inspiration from quantum mechanics. This approach offers a promising solution to the long-standing challenge of reconciling interpretability and efficiency in deep machine learning.[#item_full_content]