Essays about: "neural IR"

Showing result 1 - 5 of 11 essays containing the words neural IR.

1. 1. Estimation of Voltage Drop in Power Circuits using Machine Learning Algorithms : Investigating potential applications of machine learning methods in power circuits design

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Dimitrios Koutlis; [2023]
   Keywords : Voltage drop estimation; Application-specific Integrated Circuits ASICs ; Machine learning algorithms; XGBoost; Convolutional Neural Networks; Graph Neural Networks; Power circuit optimization; Uppskattning av spänningsfall; applikationsspecifika integrerade kretsar ASIC ; maskininlärningsalgoritmer; XGBoost; konvolutionella neurala nätverk; optimering av strömkretsar;

   Abstract : Accurate estimation of voltage drop (IR drop), in Application-Specific Integrated Circuits (ASICs) is a critical challenge, which impacts their performance and power consumption. As technology advances and die sizes shrink, predicting IR drop fast and accurate becomes increasingly challenging. READ MORE

3. 2. Using Quantization and Serialization to Improve AI Super-Resolution Inference Time on Cloud Platform

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Wai-Hong Anton Fu; [2023]
   Keywords : ;

   Abstract : AI Super-Resolution is a branch of Artificial Intelligence where the goal is to take a low-resolution image and upscale it into a high-resolution image. These models are usually deep learning models based on Convolutional Neural Networks (CNN) and/or transformers. READ MORE

4. 3. Evaluation of deep learning image reconstruction for brain- and abdominal CT - A visual grading characteristics study

   University essay from

   Author : Tuva Skarp; [2022-05-04]
   Keywords : Medical physics; CT; Computed tomography; imaging; Deep learning image reconstruction;

   Abstract : Computed tomography (CT) is a common medical imaging method today. There are different ways of reconstructing the images from a CT examination. The standard method is the filtered back projection (FBP). READ MORE

5. 4. Labelling Motion Capture Markers Using Dynamic Graph Convolutional Neural Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jacob Stuart; [2022]
   Keywords : ;

   Abstract : This thesis concerns labelling unlabelled motion capture (mocap) data using a Dynamic Graph Convolutional Neural Network (DGCNN) [46]. The most common type of motion-capture system, i.e. passive motion-capture, records the 3D position of multiple reflective markers using multiple infrared cameras with overlapping fields of view. READ MORE

6. 5. Zero-shot, One Kill: BERT for Neural Information Retrieval

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Stergios Efes; [2021]
   Keywords : neural information retrieval; passage ranking; weak supervision; question answering; passage reranking; BERT; transfer-learning in IR; zero-shot IR; passage-retrieval; BERT for passage-retrieval; MS Marco; information retrieval; neural IR;

   Abstract : [Background]: The advent of bidirectional encoder representation from trans- formers (BERT) language models (Devlin et al., 2018) and MS Marco, a large scale human-annotated dataset for machine reading comprehension (Bajaj et al., 2016) that made publicly available, led the field of information retrieval (IR) to experience a revolution (Lin et al. READ MORE