Category: Computer Sciences

Don’t panic: ‘Humanity’s last exam’ has begun When artificial intelligence systems began acing long-standing academic assessments, researchers realized they had a problem: the tests were too easy. Popular evaluations, such as the Massive Multitask Language Understanding (MMLU) exam, once considered formidable, are no longer challenging enough to meaningfully test advanced AI systems. Go to techxplore

‘Probably’ doesn’t mean the same thing to your AI as it does to you When a human says an event is “probable” or “likely,” people generally have a shared, if fuzzy, understanding of what that means. But when an AI chatbot like ChatGPT uses the same word, it’s not assessing the odds the way we…

New roadmap for evaluating AI morality proposed Large language models (LLMs) are dealing with an increasing amount of morally sensitive information as people turn to them for medical advice, companionship and therapy. However, they are not exactly known for possessing a moral compass. Go to techxplore

Why AI may overcomplicate answers: Humans and LLMs show ‘addition bias,’ often choosing extra steps over subtraction When making decisions and judgments, humans can fall into common “traps,” known as cognitive biases. A cognitive bias is essentially the tendency to process information in a specific way or follow a systematic pattern. One widely documented cognitive…

Is artificial general intelligence already here? A new case that today’s LLMs meet key tests Will artificial intelligence ever be able to reason, learn, and solve problems at levels comparable to humans? Experts at the University of California San Diego believe the answer is yes—and that such artificial general intelligence has already arrived. This debate…

Inner ‘self-talk’ helps AI models learn, adapt and multitask more easily Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, and understand our emotions. But it’s not just humans who can reap the benefits of such self-talk. Go to techxplore

‘TransMiter’ technique transplants learned knowledge between AI models How inconvenient would it be if you had to manually transfer every contact and photo from scratch every time you switched to a new smartphone? Current artificial intelligence (AI) models face a similar predicament. Whenever a superior new AI model—such as a new version of ChatGPT—emerges, it…

Foundation AI models trained on physics, not words, are driving scientific discovery While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different…

Creative talent: Has AI knocked humans out? Are generative artificial intelligence systems such as ChatGPT truly creative? A research team led by Professor Karim Jerbi from the Department of Psychology at the Université de Montréal, and including AI pioneer Yoshua Bengio, also a professor at Université de Montréal, has just published the largest comparative study…

Findings on phonetic reduction in speech could help make AI voices more natural-sounding A speech study by a research team from The University of Texas at El Paso has identified an underappreciated aspect of speech in English and Spanish speakers that could lead to improvements in artificial intelligence (AI) spoken dialogue systems. Go to techxplore

From brain scans to alloys: Teaching AI to make sense of complex research data Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions. Measurements collected from different instruments, experiments or simulations often vary widely in resolution, noise…

Digital technique puts rendered fabric in the best light The sheen of satin, the subtle glints of twill, the translucence of sheer silk: Fabric has long been difficult to render digitally because of the myriad ways different yarns can be woven or knitted together. Go to techxplore

Discrete spatial diffusion models data while obeying scientific principles Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team’s Discrete Spatial Diffusion approach honors scientific and physics principles. The team validated their model on two challenging scientific applications—subsurface rock microstructures…

An AI approach for single-image-based 3D character animation with preserved proportions In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology that can animate 3D characters to mimic the exact movements shown in a single 2D image, all while preserving natural proportions and avoiding distortions.…

Decoding black box AI with human-readable data descriptions and influence Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their decision-making processes remain difficult to interpret. These models can accurately identify objects—such as recognizing a bird in a photo—but understanding exactly how they arrive at these conclusions is a significant challenge.…

New AI model accurately grades messy handwritten math answers and explains student errors A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on even the most untidy handwritten math answers—much like a human instructor. Go to techxplore

Multi-agent AI could change everything—if researchers can figure out the risks You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI. Go to techxplore

Creating realistic 3D scenes from everyday online photos A new approach is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening new possibilities in industries such as gaming, virtual tourism and cultural preservation. Go to techxplore

Human language inspired AI—now, we can use that AI to learn about language Ph.D. candidate Yuchen Lian (LIACS) wants to understand why human languages look the way they do—and find inspiration to improve AI along the way. She defended her thesis on 12 December. Go to techxplore

AI agents debate their way to improved mathematical reasoning Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used worldwide to create written content, source information and even to code websites or applications. While these models have improved significantly over the past couple of…

New system efficiently explains AI judgments in real-time A research team led by Professor Jaesik Choi of KAIST’s Kim Jaechul Graduate School of AI, in collaboration with KakaoBank Corp, has developed an accelerated explanation technology that can explain the basis of an artificial intelligence (AI) model’s judgment in real-time. Go to techxplore

New method improves the reliability of statistical estimations MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, epidemiology, and environmental sciences. Go to techxplore

AI can pick up cultural values by mimicking how kids learn Artificial intelligence systems absorb values from their training data. The trouble is that values differ across cultures. So an AI system trained on data from the entire internet won’t work equally well for people from different cultures. Go to techxplore

AI predicts complex social group behavior using individual attributes Professor Kijung Shin’s research team at the Kim Jaechul Graduate School of AI has developed an AI technology that predicts complex social group behavior by analyzing how individual attributes such as age and role influence group relationships. Go to techxplore

Overparameterized neural networks: Feature learning precedes overfitting, research finds Modern neural networks, with billions of parameters, are so overparameterized that they can “overfit” even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features. Go to techxplore

Making simulations more accurate than ever with deep learning Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A Kobe University team has introduced a new method that uses deep…

Report demonstrates how harnessing digitally generated data can transform humanitarian aid A new report from the University of Liverpool and the United Nations Migration Agency–International Organization for Migration (IOM) demonstrates how harnessing digital data collected from mobile phone applications and social media platforms can transform the way humanitarian agencies track and respond to population displacement…

Enhancing navigability for tributaries Inland waterway transportation has played a limited role in Europe so far, with a share of about 6%. Together with 15 partners, Fraunhofer researchers are seeking to change this with the EU project CRISTAL. Go to techxplore

Approximate domain unlearning: Enabling safer and more controllable vision-language models Vision-language model (VLM) is a core technology of modern artificial intelligence (AI), and it can be used to represent different forms of expression or learning, such as photographs, illustrations, and sketches. Go to techxplore

Visualizing the internal structure behind AI decision-making Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long…

New modeling approach predicts errors in quantum computers before they occur You’ve just put a dollar into a machine to play a song and it stopped playing after a few seconds. You put in another dollar and the tune stops after a minute. You can’t get your dollars back and can’t listen to the song…

Machine learning algorithm rapidly reconstructs 3D images from X-ray data Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have pioneered a new machine learning method—called X-RAI (X-Ray single particle imaging with Amortized Inference)—that…

WhatsApp security vulnerability discovered by researchers IT-Security Researchers from the University of Vienna and SBA Research identified and responsibly disclosed a large-scale privacy weakness in WhatsApp’s contact discovery mechanism that allowed the enumeration of 3.5 billion accounts. In collaboration with the researchers, Meta has since addressed and mitigated the issue. Go to techxplore

Image compression method combines classic techniques for greater efficiency and flexibility In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational mathematics, introduces a new method for compressing images. This technique combines several well-known compression methods, leveraging their best features. The study has been published in IEEE Signal…

Design principles for more reliable and trustworthy AI artists When users ask ChatGPT to generate an image in a Ghibli style, the actual image is created by DALL-E, a tool powered by diffusion models. Although these models produce stunning images—such as transforming photos into artistic styles, creating personalized characters, or rendering realistic landscapes—they also face…

Human-centric photo dataset aims to help spot AI biases responsibly A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric computer vision is presented in Nature this week. The Fair Human-Centric Image Benchmark (FHIBE), developed by Sony AI, is an ethically sourced, consent-based dataset that can be…

RiverMamba: New AI architecture improves flood forecasting Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide. Researchers at the University Bonn, the Forschungszentrum Jülich (FZJ), and the Lamarr Institute for Machine Learning and Artificial Intelligence have developed RiverMamba, a new AI model that can predict river discharges…

Software developers show less constructive skepticism when using AI assistants than when working with human colleagues When writing program code, software developers often work in pairs—a practice that reduces errors and encourages knowledge sharing. Increasingly, AI assistants are now being used for this role. Go to techxplore

As AI grows smarter, it may also become increasingly selfish New research from Carnegie Mellon University’s School of Computer Science shows that the smarter the artificial intelligence system, the more selfish it will act. Go to techxplore

AI models can now be customized with far less data and computing power Engineers at the University of California San Diego have created a new method to make large language models (LLMs)—such as the ones that power chatbots and protein sequencing tools—learn new tasks using significantly less data and computing power. Go to techxplore

Scientists develop end-to-end encryption for git services From large technology corporations to startups, from computer science students to indie developers, using git services is as common as opening a word document is for most of the rest of us. Git services are online repositories, indispensable in the IT industry, that manage and store projects that…

Interrupting encoder training in diffusion models enables more efficient generative AI A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as variational autoencoders with infinitely many latent variables, reducing computational costs and preventing overfitting. By appropriately interrupting the training…

Tool for training-free, real-time video editing and background separation developed Bar-Ilan University announced today that a team from its Department of Computer Science has developed a breakthrough in video processing that significantly simplifies the separation of foreground objects from their backgrounds, without the need for extensive training or optimization. The new method, called OmnimatteZero, was…

Underground data fortresses: The nuclear bunkers, mines and mountains being transformed to protect data from attack It’s a sunny June day in southeast England. I’m driving along a quiet, rural road that stretches through the Kent countryside. The sun flashes through breaks in the hedgerow, offering glimpses of verdant crop fields and old farmhouses. Go…

Biomolecular computing shows potential for next-generation integrated circuits A new study has uncovered the remarkable potential of biomolecular computing that could provide innovative solutions in next generation of integrated circuits. In their article published in Materials Today Nano, the authors review existing “biological integrated circuits” that utilize DNA or proteins for clinical analysis tasks and…

AI scaling laws: Universal guide estimates how LLMs will perform based on smaller models in same family When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions…

How to ensure high-quality synthetic wireless data when real-world data runs dry To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have…

Researchers develop a next-generation graph-relational database system For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process, however, reveals limitations such as cost burden, data inconsistency, and the difficulty of processing complex queries.…

Similarities between human and AI learning offer intuitive design insights New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as how to develop more intuitive AI tools. Go to techxplore

A firewall for science: AI tool identifies 1,000 ‘questionable’ journals A team of computer scientists led by the University of Colorado Boulder has developed a new artificial intelligence platform that automatically seeks out “questionable” scientific journals. Go to techxplore

Contrastive learning framework can detect blockchain-based smart Ponzi schemes Blockchain technologies are digital systems that work by distributing copies of information across several computers, also referred to as nodes, all of which are connected to a common network. These technologies underpin the trading of cryptocurrencies, as well as the functioning of other emerging digital services.…

AI method reconstructs 3D scene details from simulated images using inverse rendering Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images. These tools have proved useful for a broad range of applications, including robotics, autonomous driving, health care, manufacturing and even entertainment. Go to techxplore

Allie, an AI chess bot, learns to play like humans from 91 million Lichess games Yiming Zhang didn’t grow up playing chess. Like many other people, the Carnegie Mellon University Ph.D. student discovered the Netflix series “The Queen’s Gambit” during the pandemic and began playing online. However, he quickly realized how unnatural it felt playing…

Exposing how automation apps can spy—and how to detect it A team of University of Wisconsin-Madison engineers and computer scientists has identified vulnerabilities in popular automation apps that can make it easy for an abuser to stalk individuals, track their cellphone activity, or even control their devices with little risk of detection. Go to techxplore

New AI tool learns to read medical images with far less data A new artificial intelligence (AI) tool could make it much easier—and cheaper—for doctors and researchers to train medical imaging software, even when only a small number of patient scans are available. Go to techxplore

Researchers test the trustworthiness of AI by teaching it to play sudoku Artificial intelligence tools called large language models (LLMs), such as OpenAI’s ChatGPT or Google’s Gemini, can do a lot these days—dispensing relationship advice, crafting texts to get you out of social obligations and even writing science articles. Go to techxplore

Curved neural networks enable AI memory recall through geometric design A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the “space” in which AI “thinks” can create explosive memory recall—an effect similar to a lightbulb moment in the human…

AI tackles notoriously complex equations, enabling faster advances in drug and material design It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time. Go to techxplore

Platform can make machine learning more transparent and accessible What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, researcher Jan van Rijn is contributing to open science, aiming to make machine learning more transparent, accessible, and fair. Go to techxplore

AI that thinks like us? Researchers unveil new model to predict human behavior Imagine a self-driving car navigating downtown traffic. To avoid a collision, it must judge whether the pedestrian at the corner is about to cross. Or consider an investment algorithm trading stocks—it needs to anticipate how human investors will react to news before…

Amazon’s AI assistant struggles with diverse dialects, study finds A new Cornell study has revealed that Amazon’s AI shopping assistant, Rufus, gives vague or incorrect responses to users writing in some English dialects, such as African American English (AAE), especially when prompts contain typos. Go to techxplore

Can ChatGPT actually ‘see’ red? New study results are nuanced ChatGPT works by analyzing vast amounts of text, identifying patterns and synthesizing them to generate responses to users’ prompts. Color metaphors like “feeling blue” and “seeing red” are commonplace throughout the English language, and therefore comprise part of the dataset on which ChatGPT is trained.…

Novel system turns quantum bottlenecks into breakthroughs Quantum computers have operated under a significant limitation: They can run only one program at a time. These million-dollar machines demand exclusive use even for the smallest tasks, leaving much of their expensive and fast-running hardware idle and forcing researchers to endure long lines. Go to techxplore

From position to meaning: How AI learns to read The language capabilities of today’s artificial intelligence systems are astonishing. We can now engage in natural conversations with systems like ChatGPT, Gemini, and many others, with a fluency nearly comparable to that of a human being. Yet we still know very little about the internal processes…

Pilot program integrates AI-generated notes with human community notes on X platform X (formerly Twitter) launched its “Community Notes” program in 2021 to combat misinformation by allowing users to add contextual notes on posts that might be deceptive or lead to misinterpretation. An example would be users labeling an AI-generated video as such, so that…

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. Go to techxplore

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. Go to techxplore

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. Go to techxplore

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. Go to techxplore

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. Go…

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…

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. Go to techxplore

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. Go to techxplore

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…

Tool automatically separates training and test data to improve AI evaluation A new tool has been developed to better assess the performance of AI models. It was developed by bioinformaticians at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS). Go to techxplore

Learning at peak efficiency: Optimizing transport, trust and tutelage The information age is built on mathematics. From finding the best route between two points, predicting the future load on a national power grid or tomorrow’s weather, to identifying ideal treatment options for diseases, algorithms share a common structure: they take input data, process it through…

Graph neural networks show promise for detecting money laundering and collusion in transaction webs A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in exposing financial fraud. Go to techxplore

Groups of AI agents spontaneously form their own social norms without human help, study suggests A new study suggests that populations of artificial intelligence (AI) agents, similar to ChatGPT, can spontaneously develop shared social conventions through interaction alone. Go to techxplore

A new tool to manage slow faults allows real-time adjustment of computing systems While computing systems are typically equipped to handle crashes, slow faults—situations when system components’ performance degrades rather than failing outright—can cause severe disruptions for applications like cloud computing, real-time video calls, streaming services and more. Go to techxplore

Computer scientists create algorithm to protect videos from quantum hacking Researchers at FIU’s College of Engineering and Computing have developed an encryption algorithm to defend videos from attackers with access to the world’s most powerful computers. Go to techxplore

Breaking the spurious link: How causal models fix offline reinforcement learning’s generalization problem Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning. This type of machine learning is essential for allowing systems to make decisions using only…

A newly developed fast and flexible CPU notification requires no polling Getting interrupted while at work can cause you to lose your ability to work quickly and effectively. A computer’s central processing unit (CPU) core is no different. If the CPU core has to stop what it is working on each time a new task…

Novel technique overcomes spurious correlations problem in AI AI models often rely on “spurious correlations,” making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small subset of the training data and have demonstrated a technique that overcomes the problem. The work…

Making AI-generated code more accurate in any language Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers’ lives easier if that code follows the rules of the programming language and doesn’t cause a computer to crash. Go to techxplore

Dynamic model can generate realistic human motions and edit existing ones When exploring their surroundings, communicating with others and expressing themselves, humans can perform a wide range of body motions. The ability to realistically replicate these motions, applying them to human and humanoid characters, could be highly valuable for the development of video games and…

AI with, for and by everyone can help maximize its benefits Humans’ ability to learn from one another across cultures over generations drives our success as a species as much as our individual intelligence. This collective cultural brain has led to new innovations and developed bodies of knowledge. Go to techxplore

BAFT AI autosave system can cut training losses by 98% A research collaboration between Shanghai Jiao Tong University, Shanghai Qi Zhi Institution, and Huawei Technologies has introduced BAFT, a cutting-edge autosave system for AI training that minimizes downtime and optimizes efficiency. Go to techxplore

Exo 2: A new programming language for high-performance computing, with much less code Many companies invest heavily in hiring talent to create the high-performance library code that underpins modern artificial intelligence systems. NVIDIA, for instance, developed some of the most advanced high-performance computing (HPC) libraries, creating a competitive moat that has proven difficult for others…

Computer scientists develop solutions for making AI models more efficient and customizable Artificial intelligence (AI) is everywhere—from the chatbots we consult for customer support to tools predicting how diseases might spread. But the computing power and energy required to power modern AI models—such as large language models (LLMs)—can make them expensive, inaccessible and environmentally taxing.…

A fundamental revision of how AI acquires and processes language could result in more effective LLMs Can a computer learn a language the way a child does? A study published in Computational Linguistics by professors Katrien Beuls (University of Namur) and Paul Van Eecke (AI Lab, Vrije Universiteit Brussel) sheds new light on this question.…

AI revolutionizes training for sensorimotor skills from surgery to tennis The new wave of powerful generative artificial intelligence (AI) systems such as ChatGPT and DALL-E has introduced powerful capabilities such as writing and image generation. In recent studies, researchers have developed new AI technologies that can be used to transfer human expertise in hands-on, complex…

Chatbot offers empathetic, multilingual crime reporting to ease dispatcher workload 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…

English lit grad’s AI tool deciphers Twitter bios, aiding text analysis 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…

AI-driven image retargeting: Predicting dimensions for seamless display across different devices 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. Go to techxplore

From logs to security: How process analysis is transforming access control Researchers at the University of Electro-Communications have developed a framework for improving system security by analyzing business process logs. The research is published in the International Journal of Software Engineering and Knowledge Engineering. Go to techxplore

An AI system has reached human level on a test for ‘general intelligence’—here’s what that means A new artificial intelligence (AI) model has just achieved human-level results on a test designed to measure “general intelligence.” Go to techxplore

Fake credentials offer novel solution to e-voting challenges As we come to the end of a year in which half the world’s population went to the polls, EPFL researchers developed and field-tested a groundbreaking new technology to protect remote electronic voting or e-voting from voter coercion and vote buying. Go to techxplore

Coming soon—offline speech recognition on your phone More than one in four people currently integrate speech recognition into their daily lives. A new algorithm developed by a University of Copenhagen researcher and his international colleagues makes it possible to interact with digital assistants like “Siri” without any internet connection. The innovation allows for speech recognition…

Study reveals need for better documentation of web crawlers 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. Go to boat international

Shrinking AI for personal devices: An efficient small language model that could perform better on smartphones 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…