4 papers
Approximate Attention Weighting for Sustainable FPGA-Based Vision Transformer Inference
Muhammad Usman, Muhammad Akmal Shafique, Shujaat Khan +1
Vision Transformers have reshaped computer vision by using self-attention to capture global context across image regions. This makes them attractive for edge visual inspection and…
CapsBeam: Accelerating Capsule Network based Beamformer for Ultrasound Non-Steered Plane Wave Imaging on Field Programmable Gate Array
Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker +1
In recent years, there has been a growing trend in accelerating computationally complex non-real-time beamforming algorithms in ultrasound imaging using deep learning models. Howev…
Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad +2
The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL) underscores the critical need for a paradigm shift…
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges
Minghao Shao, Abdul Basit, Ramesh Karri +1
Large Language Models (LLMs) represent a class of deep learning models adept at understanding natural language and generating coherent responses to various prompts or queries. Thes…