Stop Calling Automation AI… and the Natural Progression of Intelligent Machines
Author(s): Junis Alico Originally published on Towards AI. Defining Automation and AI U+007C Towards AI Photo credit: Image by Gerd Altmann In the last few years, I’ve noticed a lot of C-level executives use AI in their keynote speeches and television appearances. …
DateTime Manipulations with Python
Author(s): Bindhu Balu Originally published on Towards AI. In Python, date, time, and DateTime classes provide a number of functions to deal with dates, times, and time intervals. Date and DateTime are an object in Python, so when you manipulate them, you …
PEARL: Probabilistic Embeddings for Actor-Critic RL
Author(s): Sherwin Chen Originally published on Towards AI. A sample-efficient meta reinforcement learning method Top highlight Source: Unsplash Meta reinforcement learning could be particularly challenging because the agent has to not only adapt to the new incoming data but also find an …
How South Africa Is Solving One of HPC’s Biggest Challenges
Author(s): Jan Rowell Originally published on Towards AI. The Future of HPC Leadership U+007C Towards AI A strategic approach to a student cluster competition nets top prizes and helps address a critical skills shortage High-performance computing (HPC) drives economic growth and scientific …
Exploring Deep Dream using Tensorflow 2.0
Author(s): Abhinav Prakash Originally published on Towards AI. Diving Into Deep Dream using Tensorflow U+007C Towards AI Deep Dream Using Tensorflow My image which generated by Deep Dream. Whenever any person hears about Deep Learning or Neural Network the things which first …
What does Bidirectional LSTM Neural Networks has to do with Top Quarks?
Author(s): Riccardo Di Sipio Originally published on Towards AI. And how it turned out that looking at a sequence of vectors in four dimensions from two opposite sides was the key to solve a decades-old problem In a recent paper Bidirectional Long …
How does Data Noising Help to Improve your NLP Model?
Author(s): Edward Ma Originally published on Towards AI. The objective of injecting data noising Photo by Edward Ma on Unsplash Introducing data noising to neural network aims at improving model generalization and performance. Xie et al. proposes several ways to generate more …
How You Should Save the Output of your Spark ETL Jobs (If you are not Writing to a Database)
Author(s): ___ Originally published on Towards AI. In this article, I will share my thoughts on the best way to save the output of Spark ETL jobs so that it is easier to do analytical work later. The code to reproduce the …
StyleGAN Generated Face Classification with ResNexts
Author(s): Luka Chkhetiani Originally published on Towards AI. Using ResNexts with StyleGAN U+007C Towards AI https://generated.photos A week or two back a team released a dataset of 100K images of generated faces, based on StyleGAN [Karras et al. and NVIDIA] (see paper). …
AI & Physics, Part 1 — Dark Matter Matters Too
Author(s): Ryan Lynch Originally published on Towards AI. Diving Into AI & Physics U+007C Towards AI Physics. Our way of understanding the universe around us. We use equations and formulae to try and break down the fundamental truths. To figure out the …
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