Over the past decades, roboticists have introduced various systems that can replicate specific human motions and behaviors with remarkable accuracy. Some of these robots can even compete with other robots or humans in specific sports, such as the robots showcased at...
Computer Sciences
Third-party data annotators often fail to accurately read the emotions of others, study finds
Machine learning algorithms and large language models (LLMs), such as the model underpinning the functioning of the platform ChatGPT, have proved to be effective in tackling a wide range of tasks. These models are trained on various types of data (e.g., texts, images,...
Algorithm based on LLMs doubles lossless data compression rates
People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the utmost importance, as they can boost the efficiency of devices and...
New model can generate audio and music tracks from diverse data inputs
In recent years, computer scientists have created various highly performing machine learning tools to generate texts, images, videos, songs and other content. Most of these computational models are designed to create content based on text-based instructions provided...
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...
Psychology-based tasks assess multi-modal LLM visual cognition limits
Over the past decades, computer scientists have created increasingly advanced artificial intelligence (AI) models, some of which can perform similarly to humans on specific tasks. The extent to which these models truly "think" and analyze information like humans,...
AI-powered algorithm enables personalized age transformation for human faces
Researchers at University of North Carolina at Chapel Hill and University of Maryland recently developed MyTimeMachine (MyTM), a new AI-powered method for personalized age transformation that can make human faces in images or videos appear younger or older,...
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...
Optoelectronic device mimics human vision for diversified in-sensor computing
To make sense of the world, most humans rely in great part on their vision. Recent research suggests that the human visual system is hierarchical, meaning that it processes information on different levels, ranging from the low-level processing of sensory stimuli to...
Computational framework simplifies synthesized motions for human characters in 3D environments
Artificial intelligence (AI) systems have become increasingly better at synthesizing images and videos showing humans, animals and objects. The automated generation of videos in which human characters engage in specific activities could have various valuable...