The advancement of artificial intelligence (AI) and the study of neurobiological processes are deeply interlinked, as a deeper understanding of the former can yield valuable insight about the other, and vice versa. Recent neuroscience studies have found that mental...
Machine learning & AI
Third-party data annotators often fail to accurately read the emotions of others, study finds
Machine learning algorithms and large language models (LLMs), such as the model underpinning the functioning of the platform ChatGPT, have proved to be effective in tackling a wide range of tasks. These models are trained on various types of data (e.g., texts, images,...
Algorithm based on LLMs doubles lossless data compression rates
People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the utmost importance, as they can boost the efficiency of devices and...
System converts fabric images into complete machine-readable knitting instructions
Recent advances in robotics and machine learning have enabled the automation of many real-world tasks, including various manufacturing and industrial processes. Among other applications, robotic and artificial intelligence (AI) systems have been successfully used to...
New model can generate audio and music tracks from diverse data inputs
In recent years, computer scientists have created various highly performing machine learning tools to generate texts, images, videos, songs and other content. Most of these computational models are designed to create content based on text-based instructions provided...
Dynamic model can generate realistic human motions and edit existing ones
When exploring their surroundings, communicating with others and expressing themselves, humans can perform a wide range of body motions. The ability to realistically replicate these motions, applying them to human and humanoid characters, could be highly valuable for...
Legged robots skateboard successfully with reinforcement learning framework
Legged robots, which are often inspired by animals and insects, could help humans to complete various real-world tasks, for instance delivering parcels or monitoring specific environments. In recent years, computer scientists have created algorithms that allow these...
An evolving robotics encyclopedia characterizes robots based on their performance
Over the past decades, roboticists have introduced a wide range of systems with distinct body structures and varying capabilities. As the number of developed robots continuously grows, being able to easily learn about these many systems, their unique characteristics,...
Sony’s aibo dog could soon walk quietly and perform elaborate dance routines
Aibo, the cute-looking robot puppy developed by Sony, was designed to be a household companion. The robot can already emulate many of the movements and behaviors of real dogs, such as walking on four legs, responding when it is called by its name, reacting to toys,...
A new high-quality dataset to train robotics algorithms on textile manipulation tasks
Many industrial processes and household tasks currently completed by humans entail the manipulation of textiles, including clothes, sheets, towels, cloths and other fabric-based objects. Most robotic systems developed so far do not reliably manipulate all types of...