46 citations · 94 across the 6 of their papers we have counts for
6 papers
Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network
Elvin Hajizada, Danielle Rager, Timothy Shea +5
Edge AI must adapt to new classes and shifting data within a tight power budget, but online continual learning (learning from each sample before the next arrives) is where conventi…
Region Masking to Accelerate Video Processing on Neuromorphic Hardware
Sreetama Sarkar, Sumit Bam Shrestha, Yue Che +3
The rapidly growing demand for on-chip edge intelligence on resource-constrained devices has motivated approaches to reduce energy and latency of deep learning models. Spiking neur…
A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing
Svea Marie Meyer, Philipp Weidel, Philipp Plank +4
Deep State-Space Models (SSM) demonstrate state-of-the art performance on long-range sequence modeling tasks. While the recurrent structure of SSMs can be efficiently implemented a…
Efficient Video and Audio processing with Loihi 2
Sumit Bam Shrestha, Jonathan Timcheck, Paxon Frady +2
Loihi 2 is an asynchronous, brain-inspired research processor that generalizes several fundamental elements of neuromorphic architecture, such as stateful neuron models communicati…
A Hybrid Method for Online Trajectory Planning of Mobile Robots in Cluttered Environments
Leobardo Campos-Macías, David Gómez-Gutiérrez, Rodrigo Aldana-López +2
This paper presents a method for online trajectory planning in known environments. The proposed algorithm is a fusion of sampling-based techniques and model-based optimization via…
Autonomous Navigation of MAVs in Unknown Cluttered Environments
Leobardo Campos-Macías, Rodrigo Aldana-López, Rafael de la Guardia +2
This paper presents an autonomous navigation framework for reaching a goal in unknown 3D cluttered environments. The framework consists of three main components. First, a computati…