Apple A13 Bionic VS Huawei Kirin 990 5G; Is $1 Billion AI Investment Not Enough?; R.I.P Python 2
Synced Global AI Weekly September 15th
Tag: Python
R.I.P. Python 2: October 16, 2000 – January 1, 2020
In an official statement released today on python.org, the volunteer team that manages the programming language announced they will sunset Python 2 on January 1, 2020.
New Repository Provides NumPy Implementation of ML Models
If you are a developer who has ever wished for a rich collection of machine learning algorithms implemented exclusively in NumPy, then you’ll love Numpy-ml — a new GitHub project that’s winning accolades from across the global machine learning community.
Meet Deep Graph Library, a Python Package For Graph Neural Networks
The MXNet team and the Amazon Web Services AI lab recently teamed up with New York University / NYU Shanghai to announce Deep Graph Library (DGL), a Python package that provides easy implementations of GNNs research. Some fast takeaways on DGL:
Chinese Publisher Introduces AI Textbooks For Preschoolers
Photos of an artificial intelligence textbook for Chinese preschoolers have gone viral. Artificial Intelligence Experiment Materials is a 33-volume textbook series aimed at Chinese students from kindergarten to high school that was published this July by Henan People’s Publishing House.
Julia 1.0 Released
MIT-developed Julia has become one of the world’s fastest-growing programming languages. Last year it teamed with a supercomputer to catalogue 200 million astronomical objects within 15 minutes — one thousand times faster than the previous rate.
RIP Theano
Before TensorFlow, PyTorch and Caffe; Theano was the major library for deep learning development. However, the library’s development and support will end after the upcoming Theano 1.0 release.
RACECAR: A Powerful Platform for Robotics Research and Teaching
RACECAR is a Powerful Platform for Robotics Research and Teaching. It is one of the greatest university courses in this field.
Neural Networks for Beginners
This review will introduce and compare the three commonly used machine learning frameworks: Matlab Neural Network Toolbox, Torch and Tensorflow.