Computer Sciences
An interactive platform that explains machine learning models to its users
Machine learning models are now commonly used in various professional fields, while also underpinning the functioning of many smartphone applications, software packages and online services. While most people are exposed to these models and interact with them in some...
A technique to facilitate the robotic manipulation of crumpled cloths
To assist humans during their day-to-day activities and successfully complete domestic chores, robots should be able to effectively manipulate the objects we use every day, including utensils and cleaning equipment. Some objects, however, are difficult to grasp and...
An energy-efficient object detection system for UAVs based on edge computing
Unmanned aerial vehicles (UAVs), commonly known as drones, are already used in countless settings to tackle real-world problems. These flying robotic systems can, among other things, help to monitor natural environments, detect fires or other environmental hazards,...
IBM develops a new 64-core mixed-signal in-memory computing chip
For decades, electronics engineers have been trying to develop increasingly advanced devices that can perform complex computations faster and consuming less energy. This has become even more salient after the advent of artificial intelligence (AI) and deep learning...
Exploring the effects of feeding emotional stimuli to large language models
Since the advent of OpenAI's ChatGPT, large language models (LLMs) have become significantly popular. These models, trained on vast amounts of data, can answer written user queries in strikingly human-like ways, rapidly generating definitions to specific terms, text...
Evaluating the ability of ChatGPT and other large language models to detect fake news
Large language models (LLMs) are an evolution of natural language processing (NLP) techniques that can rapidly generate texts closely resembling those written by humans and complete other simple language-related tasks. These models have become increasingly popular...
A new neural machine code to program reservoir computers
Reservoir computing is a promising computational framework based on recurrent neural networks (RNNs), which essentially maps input data onto a high-dimensional computational space, keeping some parameters of artificial neural networks (ANNs) fixed while updating...
A model that can create synthetic speech that matches a speaker’s lip movements
Machine learning models can help to solve several real-world problems faster and more efficiently. One among these problems involves synthesizing speech for both animated characters and human speakers based on the movements of their lips.
A model that can realistically insert humans into images
The recent advent of generative models, computational tools that can generate new texts or images based on the data they are trained on, opened interesting new possibilities for the creative industries. For example, they allow artists and digital content creators to...