Intelligent Sensing Framework: Near-Sensor Machine Learning for Efficient Data Transmission
Applications in the Internet of Things (IoT) utilize machine learning to analyze sensor-
generated data. However, a major challenge lies in the lack of targeted intelligence in …
generated data. However, a major challenge lies in the lack of targeted intelligence in …
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
Drawing inspiration from the outstanding learning capability of our human brains,
Hyperdimensional Computing (HDC) emerges as a novel computing paradigm, and it …
Hyperdimensional Computing (HDC) emerges as a novel computing paradigm, and it …
Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware
Programming recurrent spiking neural networks (RSNNs) to robustly perform multi-timescale
computation remains a difficult challenge. To address this, we show how the distributed …
computation remains a difficult challenge. To address this, we show how the distributed …
Algorithm to Technology Co-Optimization for CiM-Based Hyperdimensional Computing
Hyperdimensional computing (HDC) has been recognized as an efficient machine learning
algorithm in recent years. Robustness against noise and simple computational operations …
algorithm in recent years. Robustness against noise and simple computational operations …
Frontiers in AI Acceleration: From Approximate Computing to FeFET Monolithic 3D Integration
S Kumar, PR Genssler, S Mansour… - 2023 IFIP/IEEE 31st …, 2023 - ieeexplore.ieee.org
With the rapidly expanding applications of artificial intelligence (AI), the quest for hardware
acceleration to foster high-speed and energy-efficient AI computation has become ever …
acceleration to foster high-speed and energy-efficient AI computation has become ever …