In recent years, computer scientists have been trying to create increasingly advanced dialogue and information systems. The release of ChatGPT and other highly performing language models are demonstrating just how far artificial intelligence can go in answering user...
Machine learning & AI
A deep reinforcement learning model that allows AI agents to track odor plumes
For a long time, scientists and engineers have drawn inspiration from the amazing abilities of animals and have sought to reverse engineer or reproduce these in robots and artificial intelligence (AI) agents. One of these behaviors is odor plume tracking, which is the...
A testbed to assess the physical reasoning skills of AI agents
Humans are innately able to reason about the behaviors of different physical objects in their surroundings. These physical reasoning skills are incredibly valuable for solving everyday problems, as they can help us to choose more effective actions to achieve specific...
A model that could improve robots’ ability to grasp objects
When completing missions and tasks in the real-world, robots should ideally be able to effectively grasp objects of various shapes and compositions. So far, however, most robots can only grasp specific types of objects.
A framework that could improve the social intelligence of home assistants
Existing artificial intelligence agents and robots only help humans when they are explicitly instructed to do so. In other words, they do not intuitively determine how they could be of assistance at a given moment, but rather wait for humans to tell them what they...
A method to enable robotic paper folding based on deep learning and physics simulations
To tackle different real-world tasks, robots should be able to handle and manipulate a variety of objects and materials, including paper. While roboticists have successfully improved the ability of humanoid robots or robotic grippers to handle several materials, paper...
An imitation-relaxation reinforcement learning framework for four-legged robot locomotion
For legged robots to effectively explore their surroundings and complete missions, they need to be able to move both rapidly and reliably. In recent years, roboticists and computer scientists have created various models for the locomotion of legged robots, many of...
A deep belief neural network based on silicon memristive synapses
While artificial intelligence (AI) models are becoming increasingly advanced, training and running these models on conventional computer hardware is very energy consuming. Engineers worldwide have thus been trying to create alternative, brain-inspired hardware that...
An AI-based platform to enhance and personalize e-learning
Researchers at Universidad Autónoma de Madrid have recently created an innovative, AI-powered platform that could enhance remote learning, allowing educators to securely monitor students and verify that they are attending compulsory online classes or exams.
A face recognition framework based on vision transformers
Face recognition tools are computational models that can identify specific people in images, as well as CCTV or video footage. These tools are already being used in a wide range of real-world settings, for instance aiding law enforcement and border control agents in...