Large language models (LLMs), such as the GPT-4 model underpinning the widely used conversational platform ChatGPT, have surprised users with their ability to understand written prompts and generate suitable responses in various languages. Some of us may thus wonder:...
Computer Sciences
Data-driven model generates natural human motions for virtual avatars
Humans can innately perform a wide range of movements, as this allows them to best tackle various tasks in their day-to-day life. Automatically reproducing these motions in virtual avatars and 3D animated human-like characters could be highly advantageous for many...
A new approach to efficiently model the acoustics of an environment
Augmented reality (AR) and virtual reality (VR) are designed to artificially reproduce the experience of navigating certain environments. In recent years, videogame and entertainment companies have been producing increasingly immersive content that can be accessed...
A new model to produce more natural synthesized speech
Recent technological advances are enabling the development of computational tools that could significantly improve the quality of life of individuals with disabilities or sensory impairments. These include so-called electromyography-to-speech (ETS) conversion models,...
A method to generate predictor circuits for the classification of tabular data
Deep learning techniques have become increasingly advanced over the past few years, reaching human-level accuracy on a wide range of tasks, including image classification and natural language processing.
A method to mitigate hallucinations in large language models
Large language models (LLMs), artificial neural networks-based architectures that can process, generate and manipulate texts in various human languages, have recently become increasingly widespread. These models are now being used in a wide range of settings, to...
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 method to enhance the planning of missions completed by multiple UAVs
Unmanned aerial vehicles (UAVs), also known as drones, have already proved to be valuable tools for tackling a wide range of real-world problems, ranging from the monitoring of natural environments and agricultural plots to search and rescue missions and the filming...
Training artificial neural networks to process images from a child’s perspective
Psychology studies have demonstrated that by the age of 4–5, young children have developed intricate visual models of the world around them. These internal visual models allow them to outperform advanced computer vision techniques on various object recognition tasks.
Intel introduces approach to boost power efficiency, reliability of packaged chiplet ecosystems
The integration of electronic chips in commercial devices has significantly evolved over the past decades, with engineers devising various integration strategies and solutions. Initially, computers contained a central processor or central processing unit (CPU),...