Architecting AI deployment: A systematic review of state-of-the-art and state-of-practice literature
Companies across domains are rapidly engaged in shifting computational power and
intelligence from centralized cloud to fully decentralized edges to maximize value delivery …
intelligence from centralized cloud to fully decentralized edges to maximize value delivery …
Pipelined backpropagation at scale: training large models without batches
New hardware can substantially increase the speed and efficiency of deep neural network
training. To guide the development of future hardware architectures, it is pertinent to explore …
training. To guide the development of future hardware architectures, it is pertinent to explore …
Revealing the role of explainable AI: How does updating AI applications generate agility-driven performance?
This study examines the role of explainable AI in the relationship between updating a
portfolio of AI applications and performance. Updating a portfolio of AI applications relates to …
portfolio of AI applications and performance. Updating a portfolio of AI applications relates to …
Self-Supervised Learning Implementation for Malware Detection
SJI Ismail, HP Gemilang… - 2022 8th International …, 2022 - ieeexplore.ieee.org
The huge and ever-increasing amount of malware complicates the malware detection
process. To detect malware, antivirus still relies on signature-based and heuristic-based …
process. To detect malware, antivirus still relies on signature-based and heuristic-based …
Design Methods and Processes for ML/DL models
MM John - 2021 - diva-portal.org
Objective: The overall objective is to establish systematic and structured design methods
and processes for the end-to-end process of developing, deploying and successfully …
and processes for the end-to-end process of developing, deploying and successfully …
Machine learning (ML) model-based compiler
D Strenski, SR Sukumar - US Patent 11,847,436, 2023 - Google Patents
Abstract Systems and methods are provided for implementing a machine learning (ML)
model based compiler, language translator, and/or a decompiler. For example, the system …
model based compiler, language translator, and/or a decompiler. For example, the system …