Search Results for author:
Found 5 papers, 0 papers with code
Transforming the Hybrid Cloud for Emerging AI Workloads
This white paper, developed through close collaboration between IBM Research and UIUC researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet the growing complexity of AI workloads through innovative, full-stack co-design approaches, emphasizing usability, manageability, affordability, adaptability, efficiency, and scalability.
Learning Transfers over Several Programming Languages
Third, which characteristics of a language pair are predictive of transfer performance, and how does that depend on the given task.
Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR
We evaluate our techniques using mismatched transcriptions for Cantonese speech acquired from native English and Mandarin speakers.
Universal Clustering via Crowdsourcing
Consider unsupervised clustering of objects drawn from a discrete set, through the use of human intelligence available in crowdsourcing platforms.
Neural Networks Built from Unreliable Components
Recent advances in associative memory design through strutured pattern sets and graph-based inference algorithms have allowed the reliable learning and retrieval of an exponential number of patterns.
