Has machine learning improved current weather modeling predictions?

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What percentage of program completion time is spent in synchronization on GPUs?

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).

01 February 2020 644 3 View

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?

04 May 2019 8,437 2 View

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?

03 April 2019 5,570 5 View

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?

03 April 2019 2,727 3 View

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?

03 April 2019 931 9 View

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?

02 March 2019 9,940 1 View

Are quantum computers going to be used as general purpose machines? or as accelerators connected to the CPUs of today?

Quantum computers are known to perform well on a limited problem space. With fast incoming developments in their technology, are quantum computers going to be used as general purpose machines in...

02 March 2019 8,334 3 View

Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

03 March 2021 1,458 4 View

What are some of the research gaps in machine learning and artificial intelligence in africa?

i would to know some of the research gaps in the artificial intelligence field in most african countries.

03 March 2021 6,145 3 View

Anyone plz suggest relevant topic for research in image processing+Deep learning.?

I have selected brain tumor images ...but now found that already lots of research done n this topic.

03 March 2021 5,774 3 View

What's the best way to measure growth rates in House sparrow chicks from day 2 to day 10?

What's the best way to measure growth rates in House sparrow chicks from day 2 to day 10? Since, the growth curve from day 2 to 10 won't be like the "Logistic curve" it might not follow logistic...

03 March 2021 1,401 3 View

After a reference from Int J Body Compos Res, can any body help?

Hi, I am after the reference below, my library says it cannot obtain a copy either locally or internationally, any help appreciated! Chris Wang ZM, Heshka S, Wielopolski L, Pi-Sunyer FX, Pierson...

03 March 2021 6,193 1 View

How to increase a model accuracy ?

dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...

03 March 2021 6,994 5 View

What techniques can I use to determine the miscibility of polymer blends?

The term miscibility refers to the single-phase state in thermodynamics. I do not mean the compatibility of different components. To determine the miscibility I know several techniques such as...

03 March 2021 4,107 4 View

How to repeat an operation on an atom selection for multiple times in PyMol?

Hi, I am trying to construct a multi-layer fibril structure from a single layer in PyMol by translating the layer along the fibril axis. For now, I am able to use the Translate command in PyMol...

02 March 2021 4,569 4 View

Can you share me how teacher education is managed in your respective national educational system?

I feel that the practice in teacher education in my country is below the expected performance level due to very poor management system. Hope I will learn something from your experiences.

02 March 2021 1,516 4 View

Can NFL theorem be valid in infinite search space in ML?

NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...

01 March 2021 1,189 3 View

Yosra Mohammed

not much, but researchers are actively studying additional ways of combining machine learning with physical models so that the ML component can compensate for model errors while benefiting from the causal knowledge in the physical model

Erik Cuevas

The improvement are marginals, maybe there are some interstig thisgs like the processing of uncertain messurements or incomplete information