Advancements in Artificial Intelligence Circuits and Systems (AICAS)
In the rapidly evolving landscape of electronics, Artificial Intelligence Circuits and Systems
(AICAS) stand out as a groundbreaking frontier. This review provides an exhaustive …
(AICAS) stand out as a groundbreaking frontier. This review provides an exhaustive …
OneSpace: Detecting cross-language clones by learning a common embedding space
M El Arnaoty, F Servant - Journal of Systems and Software, 2024 - Elsevier
Identifying clone code fragments across different languages can enhance the productivity of
software developers in several ways. However, the clone detection task is often studied in …
software developers in several ways. However, the clone detection task is often studied in …
Sla-driven ml inference framework for clouds with heterogeneous accelerators
The current design of Serverless computing frameworks assumes that all the requests and
underlying compute hardware are homogeneous. This homogeneity assumption causes two …
underlying compute hardware are homogeneous. This homogeneity assumption causes two …
“Last mile” optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures
In the context of edge computing (EC) paradigm the new type of specific System on a Chip
(SoC) devices with tensor processing architectures (TPAs) appeared for running deep …
(SoC) devices with tensor processing architectures (TPAs) appeared for running deep …
Deep learning inferencing with high-performance hardware accelerators
L Kljucaric, AD George - ACM Transactions on Intelligent Systems and …, 2023 - dl.acm.org
As computer architectures continue to integrate application-specific hardware, it is critical to
understand the relative performance of devices for maximum app acceleration. The goal of …
understand the relative performance of devices for maximum app acceleration. The goal of …
Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology
AH Truong, V Sharmanska… - Neuro-Oncology …, 2020 - academic.oup.com
Background Variations in prognosis and treatment options for gliomas are dependent on
tumor grading. When tissue is available for analysis, grade is established based on …
tumor grading. When tissue is available for analysis, grade is established based on …
Linear-time self attention with codeword histogram for efficient recommendation
Self-attention has become increasingly popular in a variety of sequence modeling tasks from
natural language processing to recommendation, due to its effectiveness. However, self …
natural language processing to recommendation, due to its effectiveness. However, self …
Generalized neural closure models with interpretability
Improving the predictive capability and computational cost of dynamical models is often at
the heart of augmenting computational physics with machine learning (ML). However, most …
the heart of augmenting computational physics with machine learning (ML). However, most …
Snow depth extraction from time‐lapse imagery using a keypoint deep learning model
Snow pole time‐lapse photography, in which a snow pole of a known height is installed in
front of a camera and photographed repeatedly over the course of a snow season, allows a …
front of a camera and photographed repeatedly over the course of a snow season, allows a …
Scaling analysis of specialized tensor processing architectures for deep learning models
Specialized tensor processing architectures (TPA) targeted for neural network processing
has attracted a lot of attention in recent years. The computing complexity of the …
has attracted a lot of attention in recent years. The computing complexity of the …