Computer simulations can greatly contribute to the study of new promising materials for technological applications. These include so-called phase-change materials (PCMs), substances that release or absorb thermal energy while melting and solidifying, which are...
Machine learning & AI
Study identifies human–AI interaction scenarios that lead to information cocoons
The widespread use of AI algorithms, particularly algorithms designed to recommend content and products to users based on their previous activity online, has led to the rise of new phenomena known as social media echo chambers and information cocoons. These phenomena...
Using large language models to enable open-world, interactive and personalized robot navigation
Robots should ideally interact with users and objects in their surroundings in flexible ways, rather than always sticking to the same sets of responses and actions. A robotics approach aimed towards this goal that recently gained significant research attention is...
A robot that can detect subtle noises in its surroundings and use them to localize nearby humans
To safely share spaces with humans, robots should ideally be able to detect their presence and determine where they are located, so that they can avoid accidents and collisions. So far, most robots were trained to localize humans using computer vision techniques,...
Study unveils vulnerabilities of watermarking AI generated content
With the advent of LensaAI, ChatGPT and other highly performing generative machine learning models, the internet is now growing increasingly saturated with texts, images logos and videos created by artificial intelligence (AI). This content, broadly referred to as AI...
A Hebbian memory that achieves human-like results on sequential processing tasks
Transformers are machine learning models designed to uncover and track patterns in sequential data, such as text sequences. In recent years, these models have become increasingly sophisticated, forming the backbone of popular conversational platforms, such as ChatGPT,
A reinforcement learning-based method to plan the coverage path and recharging of unmanned aerial vehicles
Unmanned aerial vehicles (UAVs), commonly known as drones, have already proved invaluable for tackling a wide range of real-world problems. For instance, they can assist humans with deliveries, environmental monitoring, film-making and search & rescue missions.
An embodied conversational agent that merges large language models and domain-specific assistance
Large language models (LLMs) are advanced deep learning techniques that can interact with humans in real-time and respond to prompts about a wide range of topics. These models have gained much popularity after the release of ChatGPT, a model created by OpenAI that...
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 deep learning technique to improve how robots grasp objects
Most adult humans are innately able to pick up objects in their environment and hold them in ways that facilitate their use. For instance, when picking up a cooking utensil, they would normally grab it from the side that will not be placed inside the cooking pot or pan.