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Solving visual question answering (VQA) task requires recognizing many diverse visual concepts as the answer. These visual concepts contain rich structural semantic meanings, e.g., some concepts in VQA are highly related (e.g., red & blue), some of them are less relevant (e.g., red & standing).
Deep learning methods haverevolutionized speech recognition, image recognition, and natural language processing since 2010. Each of these tasks involves a single modality in their input signals. However, many applications in the artificial intelligence field involve multiple modalities.
Open rank position in machine learning for medical image and signal processing
Submission Deadline: August 30, 2020
Call for Proposals Document
The Signal Processing and Speech Communication Laboratory (www.spsc.tugraz.at) at Graz University of Technology seeks a Senior Scientist who will further develop our research program in Audio Signal Processing with responsibilities in research goal definition, proposal writing and funding acquisitiion, scientific and administrative project management, research team management, research infrastructure s
Post-Doctoral Position in Machine Learning for Human Machine Trust in Teaming
Compensation: 85K per year + Benefits
Contact for interview (include most recent CV + 3 references contact information) and further information
Shuchin Aeron shuchin@ece.tufts.edu,
Matthias Scheutz Matthias.Scheutz@tufts.edu
Post-Doctoral Position in Machine Learning for Human Machine Trust in Teaming
Compensation: 85K per year + Benefits
Contact for interview (include most recent CV + 3 references contact information) and further information
Shuchin Aeron shuchin@ece.tufts.edu,
Matthias Scheutz Matthias.Scheutz@tufts.edu