Learning and Softcomputing

By Ulrich Hoffmann

News about machine learning

Glow
github.com - pytorch
README.md Glow is a machine learning compiler and execution engine for various hardware targets. It is designed to be used as a backend for high-level …
Available to ACM Members: "Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent
Official ACM on Twitter
MIT AGI: Deep Learning (Yoshua Bengio)
www.youtube.com
fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices
fast.ai
Written: 02 Oct 2018 by Jeremy Howard Note from Jeremy: Want to learn more? Listen to me discuss fastai with Sam Charrington in this in-depth interview. …
Horovod
github.com - uber
README.md Horovod is a distributed training framework for TensorFlow, Keras, and PyTorch. The goal of Horovod is to make distributed Deep Learning …
Tesla
Watch a Tesla drive in Paris through the eyes of Autopilot
Electrek - Fred Lambert
Tesla’s approach to autonomous driving is rather simple – albeit hard. It has some radar and ultrasonic sensor technology but the goal is to drive based on computer vision with cameras feeding into a net
Glow: A community-driven approach to AI infrastructure
fb.com - Melissa Gunning
Today, we are announcing the next steps in Facebook’s efforts to build a hardware ecosystem for machine learning (ML) through partner support of the …
DeepLearn
github.com - GauravBh1010tt
README.md Welcome to DeepLearn. This repository contains implementation of following research papers on NLP, CV, ML, and deep learning. Visit my blog …
Wendlandt et al on word embedding stability. Takeaway: glove is more stable than word2vec #naacl2018 https://t.co/KMLr6AOua9
twitter.com
NVIDIA Jetson AGX Xavier Developer Kit | NVIDIA Developer
nvidia.com
Real or Fake? Robot Uses AI to Find Waldo
hackaday.com - Adam Fabio
The last few weeks have seen a number of tech sites reporting on a robot which can find and point out Waldo in those “Where’s Waldo” books. Designed …
Machine Learning
Reproducible machine learning with PyTorch and Quilt
paperspace.com
In this article, we'll train a PyTorch model to perform super-resolution imaging, a technique for gracefully upscaling images. We'll use the Quilt …
How to update your scikit-learn code for 2018
dataschool.io - Kevin Markham
In 2015, I created a 4-hour video series called Introduction to machine learning in Python with scikit-learn. In the years since, hundreds of …
Tracking the Progress in Natural Language Processing
ruder.io - Sebastian Ruder
Go directly to the document tracking the progress in NLP.Research in Machine Learning and in Natural Language Processing (NLP) is moving so fast …
Free eBook from Packt: Mastering Java 9
packtpub.com
Time is running out to claim this free ebook Mastering Java 9 Your road to becoming a Java Ninja begins here! This book will teach you to build highly …
27 Incredible Examples Of AI And Machine Learning In Practice
Forbes - Bernard Marr
There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of the
An Introduction to Deep Learning for Tabular Data
fast.ai
Written: 29 Apr 2018 by Rachel Thomas There is a powerful technique that is winning Kaggle competitions and is widely used at Google (according to Jeff …
Machine learning projects for kids
boingboing.net - Cory Doctorow
Dale Lane's Machine Learning for Kids project uses extensions to the popular Scratch programming environment to teach the basics of machine learning …
A day in the life of a server is pretty demanding. Learn how Intel #FPGAs are helping improve server efficiency. https://t.co/AtleW9sd8R
Intel FPGA on Twitter
KIP-270 - A Scala Wrapper Library for Kafka Streams
apache.org - Debasish Ghosh
Scala Version Compatibility Binary Compatibility When two versions of Scala are binary compatible, it is safe to compile your project on one Scala …
An Introduction to Machine Learning
digitalocean.com - DigitalOcean
IntroductionMachine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand the structure of …
Mute uninteresting log noise with Machine Learning
machinebox.io
Classifiers A classifier is a machine learning model that can predict which category (or class) a piece of input data falls into. For example, you can …
How To Build a Machine Learning Classifier in Python with Scikit-learn
digitalocean.com - DigitalOcean
IntroductionMachine learning is a research field in computer science, artificial intelligence, and statistics. The focus of machine learning is to …
The Rise of Mixed Precision Arithmetic
wordpress.com - Nick Higham
For the last 30 years, most floating point calculations in scientific computing have been carried out in 64-bit IEEE double precision arithmetic, …
How To Use the Machine Learning One-Click Install Image on DigitalOcean
digitalocean.com - DigitalOcean
IntroductionOur blog post on the state of artificial intelligence talks about how prevalent AI and machine learning have become. Machine learning, or …
atf22v10c
github.com - RobertBaruch
README.md Programming algorithm for ATF22V10C Generic Array Logic chip. I used an Arduino Due for this. Since you have to be able to switch 12V to the …
What can #IoT , Machine Learning, and #AR do for your business? Find out in our webcast: https://t.co/Tii7qxGBbQ https://t.co/IDOhquti4B
ThingWorx on Twitter
One big step for AI – Intel’s new self learning chip Loihi https://t.co/6cYhNiGOov
Capgemini on Twitter
Nvidia
NVIDIA Talks Up Numba For GPGPU Computing With Python
phoronix.com - Written by Michael Larabel in NVIDIA on 3 October 2017 at 08:05 AM EDT. 6 Comments
Numba is designed to allow for high performance Python JIT-compiled code designing for C/C++ levels of performance while using LLVM for optimizations …