Over the past few decades, cyber-attackers have devised increasingly sophisticated malware that can disrupt the functioning of computer systems or grant them access to sensitive data. The development of techniques that can reliably detect the presence of malware and...
Machine learning & AI
A framework to detect hallucinations in the text generated by LLMs
Large language models (LLMs) are advanced AI-based dialogue systems that can answer user queries and generate convincing texts following human instructions. After the advent of ChatGPT, the highly performing model developed by OpenAI, these models have become...
A framework to enhance the safety of text-to-image generation networks
The emergence of machine learning algorithms that can generate texts and images following human users' instructions has opened new possibilities for the low-cost creation of specific content. A class of these algorithms that are radically transforming creative...
Study explores why human-inspired machines can be perceived as eerie
Artificial intelligence (AI) algorithms and robots are becoming increasingly advanced, exhibiting capabilities that vaguely resemble those of humans. The growing similarities between AIs and humans could ultimately bring users to attribute human feelings, experiences,...
Emulating neurodegeneration and aging in artificial intelligence systems
In recent years, developers have introduced artificial intelligence (AI) systems that can simulate or reproduce various human abilities, such as recognizing objects in images, answering questions, and more. Yet in contrast with the human mind, which can deteriorate...
A new framework to generate human motions from language prompts
Machine learning-based models that can autonomously generate various types of content have become increasingly advanced over the past few years. These frameworks have opened new possibilities for filmmaking and for compiling datasets to train robotics algorithms.
A miniaturized vision-based tactile sensor based on fiber optic bundles
Researchers at Meta AI, Stanford University, Technische, Universität Dresden and the German Cancer Research Center (DFKZ) recently developed DIGIT Pinki, a miniature-sized sensor that can detect tactile information. This sensor, presented in a paper posted...
A scalable reinforcement learning–based framework to facilitate the teleoperation of humanoid robots
The effective operation of robots from a distance, also known as teleoperation, could allow humans to complete a vast range of manual tasks remotely, including risky and complex procedures. Yet teleoperation could also be used to compile datasets of human motions,...
A framework to improve air-ground robot navigation in complex occlusion-prone environments
Robotic systems have so far been primarily deployed in warehouses, airports, malls, offices, and other indoor environments, where they assist humans with basic manual tasks or answer simple queries. In the future, however, they could also be deployed in unknown and...
An optimization-based method to enhance autonomous parking
Vehicles that can drive themselves have been a long sought after goal both of robotics research and the automotive industry. While various companies have been investing in these vehicles and testing them, they have so far only deployed them in a limited number of...