Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Allosteric Activation through Coordinated Energy Landscape Reweighting and Information Flow. [PDF]
Zhang BD +4 more
europepmc +1 more source
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza +3 more
wiley +1 more source
Path Planning for USVs in Complex Marine Environments Based on an Improved Hybrid TD3 Algorithm. [PDF]
Zhang Z, Wang X, Wang Q, Zhu M, Feng M.
europepmc +1 more source
Enabling robots to autonomously search dynamic cluttered post-disaster environments. [PDF]
Rado K, Baglioni M, Jamshidnejad A.
europepmc +1 more source
Dynamic guidance control for UAV landing on autonomous surface vessel. [PDF]
Lin CY, Tseng YC, Yao WS.
europepmc +1 more source
Path Planning for Delivery Robots Based on an Improved Ant Colony Optimization Algorithm Combined with Dynamic Window Approach. [PDF]
Huang L +7 more
europepmc +1 more source
Connectivity Labeling in Faulty Colored Graphs. [PDF]
Petruschka A, Sapir S, Tzalik E.
europepmc +1 more source
Harnessing multi-modal deep learning for multi-drone navigation-based trajectory prediction system. [PDF]
Alzahrani A.
europepmc +1 more source

