Machine-Learning

Why The Mathematica + Python web framework is used to provide an external service platform, which, due to the fact that it is running on the machine, can be used as an external service. ARM Mathematica currently only supports 32-bit v6 v7, but a runtime library for armhf v6 v7 needs to be added to aarch64. Small TIPS To be able to run Mathematica ARM 32Bit on Ubuntu 20.04 aarch64 systems, a review of the A lot of information about it, and finally the experiment worked, and you can run 32-bit Mathematica on an aarch64 system in the following way. ...

Tonight, I attended the Wolfram 2020 08-20 China Student Ambassador Presentation via Zoom. During the intermission, I won a grand prize of 3000RMB worth of System Modeler modeling program, which I am going to install on my MacBookPro to study various physical and biological modeling. If you are interested in Mathematica, you can attend Wolfram 2020/09/08 China Virtual Technology Conference, where many big names will be speaking. Mathematica Metaprogramming speaker’s Github address ...

The last two days the company planned a hackathon competition, they simply signed up to participate, thinking that they are currently researching the topic of deep learning, on the Google search blockchain deep learning, and finally found this paper Energy-recycling Blockchain with Proof-of-Deep-Learning, and then developed a PoDL chain for storing deep models along the lines of the paper, which is presented below, followed by Mathematica and Python implementations. Program Code. ...

Wolfram 2020 08-20 China Student Ambassador Presentation The following topics are of interest to me, and I am currently starting my own business in Wolfram and Python, with Wolfram being the main language for prototyping and exploring initial ideas. After watching the following presentations, I will focus on biomedical and retinal image analysis as a deep learning research topic. 18:00-19:00 Jingxian Wang, Department of Physics, Peking University. Meta-programming Basis in Mathematica. ...

The animation program code is as follows: lung-3D.nb lung3d = AnatomyPlot3D[lung anatomical structure, PlotTheme->"XRay"] gif = {}; Do[ image = ImageResize[ Show[lung3d, ViewPoint -> {3 Cos[x], 3 Sin[x], 0}, ViewAngle -> 20 Degree], {256, 256}]; gif = Append[gif, image], {x, 0, 2 Pi, 0.1}] Export["lung-3D.gif", gif, "AnimationRepetitions" -> Infinity ] image = ImageResize[ Show[lung3d, ViewPoint -> {3 Cos[Pi/2], 3 Sin[Pi/2], 0}, ViewAngle -> 20 Degree], {512, 512}] Training datasets covid-chestxray-dataset ...