AI Technology & Industry Review
A research team from MIT, Allen Institute for AI and Microsoft Research open-sources Python Programming Puzzles (P3), a novel programming challenge suite that captures the essence of puzzles and can be used to teach and evaluate an AI’s programming proficiency.
NumPy is the foundation upon which the scientific Python ecosystem is constructed.
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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.
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.
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:
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.
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.
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 is a Powerful Platform for Robotics Research and Teaching. It is one of the greatest university courses in this field.
This review will introduce and compare the three commonly used machine learning frameworks: Matlab Neural Network Toolbox, Torch and Tensorflow.