11 citations · 13 across the 7 of their papers we have counts for
7 papers
EveryDayVLA: A Vision-Language-Action Model for Affordable Robotic Manipulation
Samarth Chopra, Alex McMoil, Ben Carnovale +3
While Vision-Language-Action (VLA) models map visual inputs and language instructions directly to robot actions, they often rely on costly hardware and struggle in novel or clutter…
Mixed Precision Photonic Computing with 3D Electronic-Photonic Integrated Circuits
Georgios Charalampous, Rui Chen, Mehmet Berkay On +12
We propose advancing photonic in-memory computing through three-dimensional photonic-electronic integrated circuits using phase-change materials (PCM) and AlGaAs-CMOS technology. T…
Efficient and Low-Footprint Object Classification using Spatial Contrast
Matthew Belding, Daniel C. Stumpp, Rajkumar Kubendran
Event-based vision sensors traditionally compute temporal contrast that offers potential for low-power and low-latency sensing and computing. In this research, an alternative parad…
Custom DNN using Reward Modulated Inverted STDP Learning for Temporal Pattern Recognition
Vijay Shankaran Vivekanand, Rajkumar Kubendran
Temporal spike recognition plays a crucial role in various domains, including anomaly detection, keyword spotting and neuroscience. This paper presents a novel algorithm for effici…
Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection
Richard Gall, Deniz Kocanaogullari, Murat Akcakaya +2
In a multi-speaker "cocktail party" scenario, a listener can selectively attend to a speaker of interest. Studies into the human auditory attention network demonstrate cortical ent…
Performance Analysis of DNA Crossbar Arrays for High-Density Memory Storage Applications
Arpan De, Hashem Mohammad, Yiren Wang +3
Deoxyribonucleic acid (DNA) has emerged as a promising building block for next-generation ultra-high density storage devices. Although DNA has high durability and extremely high de…
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory
Weier Wan, Rajkumar Kubendran, Clemens Schaefer +11
Realizing today's cloud-level artificial intelligence functionalities directly on devices distributed at the edge of the internet calls for edge hardware capable of processing mult…