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.

The animation program code is as follows:

Video address of the online seminar

Tensorflow Converter can convert models to FlatBuffers format. FlatBuffers is a cross-platform serialization tool where structured data is stored in binary form and can be used in the following ways The performance on the microcontroller is memory saving.

Continuing from the previous article on NFS file systems, the current requirement is to be able to control the applications running in the cluster. For example, if we need to run parallel cross-node program A, we need to schedule and stop the running program B. This requires building a messaging system that can perform operational tasks based on message drivers.

The Rosetta@home project computationally generated and used in animal experiments an immune protein for SARS-COV-2 that could serve to protect animals from a lethal new coronavirus, which is still in the experimental phase and is being optimized.

Blender is an open source 3D modeling program, which I have been learning in order to use digital painting MattePainting techniques in creating short films, such as asset creation and 2.5D compositing in scene widening, and the corresponding commercial modeling programs are Maya, 3DCoat, 3dsMax, SideFx, Houdini. The advantage of Blender over commercial modeling programs is that first, it is an open source program, and second, the whole modeling system has a self-contained workflow, from…

本文用到的Mathematica notebook源码可以在这里下载