2022 roadmap on neuromorphic computing and engineering

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Animals exhibit remarkable locomotion skills despite significant sensorimotor delays and operating in uncertain environments. Moreover, mammals acquire these skills within minutes of birth. From the Cambrian explosion to the present day, vertebrate motor c ...

Calibration between robots and cameras is critical in automated robot vision systems. However, conventional manually conducted image-based calibration techniques are often limited by their accuracy sensitivity and poor adaptability to dynamic or unstructur ...

Machine learning models (e.g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability. To address this issue, the paper proposes a glass-box model that combines high accurac ...

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A method of accessing a memory space of a memory device with a decoder, the memory space having faults, including the steps of performing a memory access operation by an electronic device to a access a logical memory space of the memory device, and randomi ...

Metal–oxide–semiconductor junctions are the building blocks of modern electronics and can provide a variety of functionalities, from memory to computing. The technology, however, faces constraints in terms of further miniaturization and compatibility with ...

The research presented in this article draws inspiration from previous efforts aimed at replicating the functions of various solid-state memristors using a variety of materials. The memristor circuit emulator serves as a cost-effective tool for circuit des ...

The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...

2022 roadmap on neuromorphic computing and engineering

Chat with Graph Search

A Bio-Inspired Learning and Control Framework for Cross-Embodiment and Cross-Task Locomotion

A data-efficient and general-purpose hand–eye calibration method for robotic systems using next best view

Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy

Sequential Reasoning with Socially Caused Beliefs

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Rebooting Virtual Memory with Midgard

How to Achieve Large-Area Ultra-Fast Operation of MoS 2 Monolayer Flash Memories?

Nano-MOSFET - Foundation of Quantum Computing Part I

Overflow-free compute memories for edge AI acceleration

One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage

EdgeAI-Aware Design of In-Memory Computing Architectures

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Secure Interface Design Leveraging Hardware/Software Support

Graphene-enhanced ferroelectric domain wall high-output memristor

Exploring negative capacitance and neuromorphic devices based on CMOS-compatible ferroelectric HfO2

High-performance deep spiking neural networks with 0.3 spikes per neuron

Method for reading and writing unreliable memories and a corresponding memory controller device and memory

Electrical control of glass-like dynamics in vanadium dioxide for data storage and processing

Emulating Multimemristive Behavior of Silicon Nanowire-Based Biosensors by Using CMOS-Based Implementations

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads