Alphabet Inc.’s Google is adding an artificial intelligence coding assistant to ease the work of developers, aiming to catch up with rival products such as OpenAI’s Codex and Anthropic’s Claude Code.Alphabet Inc.’s Google is adding an artificial intelligence coding assistant to ease the work of developers, aiming to catch up with rival products such as OpenAI’s Codex and Anthropic’s Claude Code.[#item_full_content]

When it comes to storing images, DNA strands could be a sustainable, stable alternative to hard drives. Researchers at EPFL are developing a new image compression standard designed specifically for this emerging technology.When it comes to storing images, DNA strands could be a sustainable, stable alternative to hard drives. Researchers at EPFL are developing a new image compression standard designed specifically for this emerging technology.[#item_full_content]

A research team at the University of Barcelona (UB) has shown how artificial intelligence (AI) models can detect personality traits from written texts, and for the first time has managed to analyze in detail how these systems make decisions. These results, published in the journal PLOS One, open up new perspectives for understanding how personality manifests itself in natural language and also how more transparent and reliable automatic detection tools can be built.A research team at the University of Barcelona (UB) has shown how artificial intelligence (AI) models can detect personality traits from written texts, and for the first time has managed to analyze in detail how these systems make decisions. These results, published in the journal PLOS One, open up new perspectives for understanding how personality manifests itself in natural language and also how more transparent and reliable automatic detection tools can be built.[#item_full_content]

A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so on, could have interesting implications for research in various fields, including psychology, neuroscience and computer science. Specifically, it could help shed new light on how humans interpret sensory information and complete different real-world tasks, which could also inform the development of artificial intelligence (AI) techniques that closely emulate biological and mental processes.A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so on, could have interesting implications for research in various fields, including psychology, neuroscience and computer science. Specifically, it could help shed new light on how humans interpret sensory information and complete different real-world tasks, which could also inform the development of artificial intelligence (AI) techniques that closely emulate biological and mental processes.[#item_full_content]

Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from natural language descriptions. However, when a typical example like the Stable Diffusion model is given the text “creative,” its ability to generate truly creative images remains limited.Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from natural language descriptions. However, when a typical example like the Stable Diffusion model is given the text “creative,” its ability to generate truly creative images remains limited.[#item_full_content]

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI-like chatbots so good at understanding and using words. The work is published in the journal Physical Review X.Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI-like chatbots so good at understanding and using words. The work is published in the journal Physical Review X.[#item_full_content]

Imagine you are in a vast library with no catalog, typing random words into a search bar and hoping to stumble upon the exact book you need. That has been the reality for many roboticists trying to find the right ROS (Robot Operating System) package. With over 7,500 options available, keyword searches often return irrelevant results, wasting developers’ precious time and energy.Imagine you are in a vast library with no catalog, typing random words into a search bar and hoping to stumble upon the exact book you need. That has been the reality for many roboticists trying to find the right ROS (Robot Operating System) package. With over 7,500 options available, keyword searches often return irrelevant results, wasting developers’ precious time and energy.[#item_full_content]

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about in space, onboard satellites or spacecraft?Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about in space, onboard satellites or spacecraft?[#item_full_content]

At the dawn of computing, women were the early adopters of computational technology, working with punch cards in what was then considered secretarial work. As computer science evolved into a prestigious field focused on algorithms and theory, women became—and remained—underrepresented. Today, only 23% of bachelor’s and doctoral degrees in computer science are awarded to women, and just 18% of full professors are women—fewer than in the 1980s.At the dawn of computing, women were the early adopters of computational technology, working with punch cards in what was then considered secretarial work. As computer science evolved into a prestigious field focused on algorithms and theory, women became—and remained—underrepresented. Today, only 23% of bachelor’s and doctoral degrees in computer science are awarded to women, and just 18% of full professors are women—fewer than in the 1980s.[#item_full_content]

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle.Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle.[#item_full_content]