Results 181 to 190 of about 69,515 (313)
Sketching T cell atlases in the single‐cell era: challenges and recommendations
Recent advances in single‐cell technologies have enabled the creation of T cell atlases, providing detailed maps of adaptive immunity across tissues, development and disease states. These atlases help uncover T cell diversity, functional states and disease mechanisms, aiding in the identification of therapeutic targets.
Itana Bojović+3 more
wiley +1 more source
Abstract The transformative potential of artificial intelligence (AI) ChatBots, leveraging natural language processing for information retrieval and knowledge synthesis, has garnered attention across diverse fields, including research. Recognizing AI's importance, researchers and policymakers are actively engaged in its development.
Cinzia Daraio+2 more
wiley +1 more source
Unlocking latent features of users and items: empowering multi-modal recommendation systems. [PDF]
Raj S, Saha S.
europepmc +1 more source
Abstract The application of automated ground vehicles (AGVs) is well‐established in closed environments such as port terminals, while their operation in open areas remains challenging. In this work, we set out to overcome this limitation by introducing platooning as a transfer mode in heterogeneous vehicle networks.
Nadia Pourmohammad‐Zia+2 more
wiley +1 more source
Adaptive Model Predictive Control for 4WD-4WS Mobile Robot: A Multivariate Gaussian Mixture Model-Ant Colony Optimization for Robust Trajectory Tracking and Obstacle Avoidance. [PDF]
Ait Dahmad H+3 more
europepmc +1 more source
Nature‐inspired hierarchical materials
Nature serves as a wonderful school for materials science, demonstrating how biological organisms craft hierarchical structures and multifunctional properties using limited, locally available resources. This process addresses complex design challenges while promoting sustainability.
Qiang Fu+4 more
wiley +1 more source
A review of neuro-symbolic AI integrating reasoning and learning for advanced cognitive systems
Neuro-symbolic AI represents the convergence of two principal paradigms in artificial intelligence: neural networks, which are efficient in data-driven learning, and symbolic reasoning, which offers explainability and logical inference.
Uzma Nawaz+2 more
doaj
SenseRisc: An instrumented smart shirt for risk prevention in the workplace. [PDF]
Tamantini C+15 more
europepmc +1 more source
Multimodal Learning Reveals Plants' Hidden Sensory Integration Logic
Kelly L. Vomo-Donfack+3 more
openalex +1 more source