Organs-on-chips (OoCs) are miniature microfluidic systems that have arguably become a
class of advanced in vitro models. Deep learning, as an emerging topic in machine learning …

The free energy principle and its corollary, the active inference framework, serve as
theoretical foundations in the domain of neuroscience, explaining the genesis of intelligent …

Object packing by autonomous robots is an important challenge in warehouses and logistics
industry. Most conventional data-driven packing planning approaches focus on regular …

In recent years, reinforcement learning and imitation learning have shown great potential for
controlling humanoid robots' motion. However, these methods typically create simulation …

The intelligent chatbot has many applications in the real world, especially for supporting e-
learning. An educational chatbot requires a complete knowledge base to help students to …

A succession of accidents shows that production vehicles with autonomous driving systems
do not work safely in real-world environments, especially when facing unseen scenarios …

Abstract Deep‐learning (DL) methods, in consideration of their excellence in dealing with
highly complex structure–performance relationships for materials, are expected to become a …

Designing intelligent microrobots that can autonomously navigate and perform instructed
routines in blood vessels, a crowded environment with complexities including Brownian …

We propose a non-representationalist framework for deep learning relying on a novel
method computational phenomenology, a dialogue between the first-person perspective …

Industries, such as manufacturing, are accelerating their embrace of the metaverse to
achieve higher productivity, especially in complex industrial scheduling. In view of the …