Essays about: "Learning Workflows"
Showing result 1 - 5 of 13 essays containing the words Learning Workflows.
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1. Efficiency by design : A way to meet expert users' needs
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : The administration software is a crucial component of any successful company. It is often overlooked, but it plays an essential role in ensuring the smooth operation of the business. It is the backbone of the company's operations, and it must be able to meet the evolving needs of its users. READ MORE
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2. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE
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3. MLOps paradigm - a game changer in Machine Learning Engineering?
University essay from Uppsala universitet/InformationssystemAbstract : In the last 5+ years, researchers and the industry have been working hard to adopt MLOps (Machine Learning Operations) to maximize production. The current literature on MLOps is still mostly disconnected and sporadic (Testi et al., 2022). READ MORE
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4. Risks and Risk Mitigation Strategies Related to AI in Medical Imaging : A Qualitative Case Study of Implementing AI in Screening Mammography
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : AI in medical imaging is promising. Breast cancer screening has particularly seen advancements as researchers have demonstrated how commercially available AI algorithms could detect breast cancer at the same level as the best radiologists. READ MORE
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5. A Comprehensive study on Federated Learning frameworks : Assessing Performance, Scalability, and Benchmarking with Deep Learning Model
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Federated Learning now a days has emerged as a promising standard for machine learning model training, which can be executed collaboratively on decentralized data sources. As the adoption of Federated Learning grows, the selection of the apt frame work for our use case has become more important. READ MORE