Computer Sciences news

Analytical model evaluates performance of grant-free communication in densely populated IoT environment

Imagine a world where every smart device, from traffic sensors to wearable health monitors, can seamlessly communicate. This vision is at the heart of Massive Machine Type Communication (mMTC), a cornerstone of 5G and future 6G mobile networks.

01/07/2025 00:01

Creating a 3D interactive digital room from simple video

Cornell researchers have developed an AI-powered process that automatically transforms a short video of a room into an interactive, 3D simulation of the space.

30/06/2025 20:59

AI is learning to lie, scheme, and threaten its creators

The world's most advanced AI models are exhibiting troubling new behaviors—lying, scheming, and even threatening their creators to achieve their goals.

29/06/2025 20:02

Open-source fuzzer uses evolutionary algorithm to produce customized test inputs

Over the past decade, fuzzers have become the most widely used tools to test software security and robustness. Generating random inputs and feeding them to an application, they help detect undesired program behavior such as bugs and vulnerabilities.

26/06/2025 19:47

Google debuts Gemini AI coding tool in bid to entice developers

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.

26/06/2025 13:28

Selfies could one day be stored on DNA strands

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.

25/06/2025 19:41

How AI models successfully detect personality traits from written text

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.

25/06/2025 18:46

Multimodal LLMs and the human brain create object representations in similar ways, study finds

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.

25/06/2025 13:50

AI image models gain creative edge by amplifying low-frequency features

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.

20/06/2025 18:18

Bilinear sequence regression model shows why AI excels at learning from word sequences

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.

20/06/2025 17:35

New search tool brings 21% better accuracy for robotics developers

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.

20/06/2025 15:25

Coordinating computers in a relativistic universe: Expert ponders how algorithms might function across space

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?

19/06/2025 18:44

The hidden bias pushing women out of computer science

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.

18/06/2025 13:35

Lost in the middle: How LLM architecture and training data shape AI's position bias

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.

17/06/2025 23:17

From code to commands: Prompt training technique helps users speak AI's language

Today's generative artificial intelligence models can create everything from images to computer applications, but the quality of their output depends largely on the prompt a human user provides.

17/06/2025 11:32

Improved slime mold algorithm boosts efficiency in e-commerce cloud data migration

As e-commerce platforms grow ever more reliant on cloud computing, efficiency and sustainability have come to the fore as urgent pressures on development. A study published in the International Journal of Reasoning-based Intelligent Systems has introduced an innovative approach to the problem based on a slime mold algorithm (SMA). The work could improve both performance and energy efficiency for e-commerce systems.

16/06/2025 23:48

Benchmarking hallucinations: New metric tracks where multimodal reasoning models go wrong

Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos.

14/06/2025 15:20

Researcher explores visual media through the lens of machine vision

Large visual collections, such as paintings, photographs, drawings, and other forms of visual media, offer valuable insights into historical events, social life, and artistic expression. These collections are key to understanding how societies produce and use images to shape cultural meaning over time. Yet they remain difficult to study due to their sheer size, often consisting of hundreds of thousands of items, and their intrinsic complexity, including diverse visual features, contents, contexts, and metadata structures.

13/06/2025 19:30

Explainable AI: New framework increases transparency in decision-making systems

A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a decision was made is just as important as the decision itself, like medical diagnostics.

13/06/2025 17:29

Rethinking AI: Researchers propose a more effective, human-like approach

New research from Rensselaer Polytechnic Institute (RPI) could help shape the future of artificial intelligence by making AI systems less resource-intensive, higher performing, and designed to emulate the human brain. The research was published in Patterns, titled "Dimensionality and dynamics for next-generation neural networks."

13/06/2025 15:36

The most eye-catching products at Paris's Vivatech trade fair

Products ranging from footwear to AI counterfeit detectors fill the halls of Paris's Vivatech trade fair, which runs until Saturday.

12/06/2025 18:30

Researchers speed up simulations with smarter data approach

A team at Stanford has shown that using fewer, higher-quality data points can speed up complex simulations. The method could impact fields from aircraft certification to climate modeling.

09/06/2025 16:45

Animation technique simulates the motion of squishy objects

Animators could create more realistic bouncy, stretchy, and squishy characters for movies and video games thanks to a new simulation method developed by researchers at MIT.

05/06/2025 20:22

Algorithm lets a robot 'think ahead' and consider thousands of potential motion plans simultaneously

Ready for that long-awaited summer vacation? First, you'll need to pack all items required for your trip into a suitcase, making sure everything fits securely without crushing anything fragile.

05/06/2025 17:31

Chain-of-Zoom framework enables extreme super-resolution zoom without retraining

A trio of AI researchers at KAIST AI, in Korea, has developed what they call a Chain-of-Zoom framework that allows the generation of extreme super-resolution imagery using existing super-resolution models without the need for retraining.

04/06/2025 23:04

Prepping for Q-Day: Physics-based encryption aims to secure data in the quantum computing era

In our hyper-connected world, we rely on encrypted communications every day—to shop online, digitally sign documents, make bank transactions, check our steps on fitness trackers.

04/06/2025 21:40

Why AI can't understand a flower the way humans do

Even with all its training and computer power, an artificial intelligence (AI) tool like ChatGPT can't represent the concept of a flower the way a human does, according to a new study.

04/06/2025 12:00

Use of commercial video games helps students to learn basic programming

In an increasingly digitized and connected environment, the demand for computer programmers continues to grow and so does the need for training to produce new coding specialists. Often, they are professionals from other sectors who want to switch career paths. In these cases, the acquisition of computational thinking and programming skills is of key importance for them to succeed in this process.

03/06/2025 23:21

Teaching AI models the broad strokes to sketch more like humans do

When you're trying to communicate or understand ideas, words don't always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept—for example, diagramming a circuit might help make sense of how the system works.

03/06/2025 18:50

Beyond translation: Multilingual benchmark makes AI multicultural

Imagine asking a conversational bot like Claude or ChatGPT a legal question in Greek about local traffic regulations. Within seconds, it replies in fluent Greek with an answer based on UK law. The model understood the language, but not the jurisdiction. This kind of failure illustrates the inability of large language models (LLMs) to understand regional, cultural and, in this case, legal knowledge, while at the same time being proficient in many of the world's languages.

02/06/2025 23:17