RoboCup is an international annual event designed to showcase advances in the fields of robotics and artificial intelligence (AI). At this event, different teams of humanoid robots play soccer against each other,
Machine learning & AI
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...
A CMOS-compatible spintronic compute-in-memory macro to secure AI edge devices
Edge computing applications, which entail the processing and storage of data at the source of its production (i.e., near where it is created), is now being applied to a growing number of technologies. The application of edge computing translates into devices that can...
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 large dataset to train machine learning models for aerial vehicle design
Designing reliable aircraft can be both challenging and time-consuming, as it often entails several steps and analyses. Deep learning models could potentially help to speed up aircraft design and deployment, helping developers to identify the most promising solutions...
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 multisensory simulation platform to train and test home robots
AI-powered robots have become increasingly sophisticated and are gradually being introduced in a wide range of real-world settings, including malls, airports, hospitals and other public spaces. In the future, these robots could also assist humans with house chores,...
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.
Teaching robots to tidy up based on user preferences using large language models
Different people tend to have unique needs and preferences—particularly when it comes to cleaning or tidying up. Home robots, especially robots designed to help humans with house chores, should ideally be able to complete tasks in ways that account for these...
Study tests the potential of two quantum machine learning algorithms for malware classification
Over the past decades, cyber attackers have become increasingly skilled at compromising systems and circumventing security measures. As a result, detecting and accurately identifying malware is a pressing challenge for many businesses and individuals worldwide.