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Vinay Deolalikar, a mathematician and electrical engineer at Hewlett-Packard, posted a proposed proof of what is known as the "P versus NP" problem on a Web site, and quietly notified a number of the key researchers in a field of study that focuses on problems that are solvable only with the application of immense amounts of computing power.
As mathematicians learn Dr. Mochizuki's new language, the proposed proof will take months or years of careful review, not just the 500 pages that Dr. Mochizuki just released but also reams of earlier work over the past dozen years.
With this in mind, and while the automated reasoning community continues to try to meet the grand challenge of building increasingly powerful theorem provers, mathematicians can draw now some of the benefits offered by current systems, including assistance in completing proof gaps or formalizing and checking the correctness of proposed proofs.
This paper proposes a Proof of Concept (PoC) end to end solution that utilises the Hadoop programming model, extended ecosystem and the Mahout Big Data Analytics library for categorising similar support calls for large technical support data sets.
We also propose a Proof-of-Work scheme in our model to ensure security and privacy.
We propose a proof-of-concept implementation scheme of the reference structure for our SensFall system.
We proposed a proof-of-concept measurement on two models with an NVIDIA Fermi architecture GPU.
For the first time, we proposed the proof-of-principle of a new concept of ionic supercapacitor systems on the basis of the system- and ion-level design.
Using image processing techniques, this paper will propose a proof-of-concept methodology for quantifying contrast-based visual effects within renderings of daylit architecture.
In this paper, we proposed a proof-of-principle design for a closed-loop DBS system, cognitive-enhancing DBS (ceDBS), which enhanced skill learning based on in vivo experimental data.
In [6], Liang and Krause proposed the proof-of-concept system based on a sensor fusion approach, which was built with considerations for lower cost, and higher mobility, deplorability, and portability, by combining the drift velocities of anchor nodes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com