In recent years, roboticists and computer scientists have developed a wide range of systems inspired by nature, particularly by humans and animals. By reproducing animal movements and behaviors, these robots could navigate real-world environments more effectively.
Large language models (LLMs), such as the model underpinning the functioning of the conversational agent ChatGPT, are becoming increasingly widespread worldwide. As many people are now turning to LLM-based platforms to source information and write context-specific...
Humans are known to accumulate knowledge over time, which in turn allows them to continuously improve their abilities and skills. This capability, known as lifelong learning, has so far proved difficult to replicate in artificial intelligence (AI) and robotics systems.
The conversion of carbon dioxide (CO2) into valuable chemical products via the electrochemical CO2 conversion reaction could be highly advantageous. This conversion process could help to make good use of excess CO2 in the air collected by carbon capture...
Large language models (LLMs), such as the model behind OpenAI's popular platform ChatGPT, have been found to successfully tackle a wide range of language processing and text generation tasks. Some of these models have also shown some promise for the generation of...
Large language models (LLMs), such as the models supporting the functioning of ChatGPT, are now used by a growing number of people worldwide to source information or edit, analyze and generate texts. As these models become increasingly advanced and widespread, some...
To be successfully deployed on a large-scale and in a wide range of real-world settings, robots should be able to rapidly adjust their movements while interacting with humans and their surroundings, responding to changes in their environment. Many robots developed so...
Recent technological advances have opened new possibilities for the development of robotic systems, including spacecraft for the exploration of other planets. These new systems could ultimately contribute to our understanding of our galaxy and the unique...
Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design alternative architectures that could be better suited for running these models.
Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design alternative architectures that could be better suited for running these models.