03 March 2019 6 3K Report

As machine learning evolves into other domains, it is encompassing domains that use graph structures. What are the algorithms and open-source implementations in such cases?

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Assume a memory access bound workload such as graph analytics, machine learning, monte-carlo simulations etc. Assume a high-end single chip GPU of the current generation (2020).

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How do recent works against Spectre and other architectural attacks stack up in performance and usability?

Works such as Mi6, InvisiSpec, and IRONHIDE, and many other works, target secure isolation of target processes. How do these works rank and work in terms of performance, complexity, and usability?

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What type(s) of machine learning or AI algorithms are considered most dangerous for automation of jobs?

Automation of various jobs is underway. What types of machine learning algorithms are used to replace human work?

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Has machine learning improved current weather modeling predictions?

Weather modeling is a prediction problem, and most models are not entirely accurate. Has machine learning improved current weather models? What has improved and how does it improve predictions?

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What are the implications of computing on today's environment?

Computing takes significant power, resources, and man-power. What are the environmental implications of computing in this context?

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How does Bayesian inference compare against other machine learning models?

Bayesian inference is a machine learning model not as widely used as deep learning or regression models. Why is it not as widely used and how does it compare to highly used models?

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Which is the best parallel implementation for Dijkstra's algorithm in graph analytics?

Dijkstra's algorithms performs well sequentially. However, applications require even better parallel performance because of real-time constraints. Implementations such as SprayList and Relaxed...

02 March 2019 4,791 5 View

What is the purpose of performance predictors? Which predictors are the best available?

Performance prediction is required to optimally deploy workloads and inputs to a particular machine/accelerator in computing systems. Different predictors (e.g. AI predictors) come with different...

02 March 2019 9,911 3 View

What are your views on the latest advancements in quantum computing for machine learning algorithms?

This question stems from the latest papers in quantum machine learning. https://www.technologyreview.com/s/613119/quantum-computing-should-supercharge-this-machine-learning-technique/

02 March 2019 5,766 3 View

Why are Nvidia's GPUs more popular than AMD's?

Nvidia has a larger market share of GPU sales. What are the reasons for this larger share?

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