Learning and Softcomputing

By Ulrich Hoffmann | News about machine learning

One big step for AI – Intel’s new self learning chip Loihi

If there’s one thing at which all sciences are truly lousy at, it’s explaining themselves. Intel’s new “self learning” chip called Loihi IS a major, …

Machine Learning

NVIDIA Talks Up Numba For GPGPU Computing With Python

Numba is designed to allow for high performance Python JIT-compiled code designing for C/C++ levels of performance while using LLVM for optimizations …

Nvidia

To Compete With New Rivals, Chipmaker Nvidia Shares Its Secrets

Five years ago, Nvidia was best known as a maker of chips to power videogame graphics in PCs. Then researchers found its graphics chips were also …

Artificial Intelligence

Python Machine Learning Cookbook [Book]

With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage …

How to Build a Machine Learning Classifier in Python with Scikit-learn

IntroductionMachine learning is a research field in computer science, artificial intelligence, and statistics. The focus of machine learning is to …

Machine Learning

Slight Street Sign Modifications Can Completely Fool Machine Learning Algorithms

Minor changes to street sign graphics can fool machine learning algorithms into thinking the signs say something completely different Photo: Cornell …

Machine Learning

Make a Amazon Dash security sensor

This is probably the last Amazon Dash hack I can come up with. The previous one – Wireless Doorbell was a great success and I’m still using it …

Using Tensorflow on a Raspberry Pi in a Chicken Coop @Raspberry_Pi #PiDay #RaspberryPi

July 28, 2017 AT 6:00 am<p>Using Tensorflow on a Raspberry Pi in a Chicken Coop @Raspberry_Pi #PiDay #RaspberryPi

Bootstrapping Reinforcement Learning

How we built reinforcement learning datasets with Human-AI Interaction at Digg<p>There are 3 overarching ways to do machine learning. There’s Supervised …

What's New in Deep Learning Artificial Intelligence from NVIDIA

Tagbox · Docs · machinebox.io · Machine learning in a box

Tagbox generates tags that describe the contents of an image or photograph.<p>Uses for Tagbox<p>This capability has a variety of utilities:<p>Automatically …

Machine Learning

AlphaGo retires from competitive Go after defeating world number one 3-0

AlphaGo is going out on top. After beating Ke Jie, the world’s best player of the ancient Chinese board game Go, for the third time today at the Future of Go Summit in Wuzhen, Google’s DeepMind unit announced that it would be the last event match the AI plays. In a statement, DeepMind co-founder …

Artificial Intelligence

This was my favorite photo of the AlphaGo summit. Cheerful masters of Team China brought joy to us watching their game of highest caliber. https://t.co/JGhOan1JEx

Understand these 5 basic concepts to sound like a machine learning expert

Most people seem a bit intimidated or confused by machine learning. What is it? Where is it going? Can I have some money now please?<p>All valid …

CMSC 35246 Deep Learning - University of Chicago

Week<p>Date<p>Topics<p>Lecture notes/Slides<p>Additional Resources, Suggested Readings, etc.<p>1<p>March 27<p>Introduction to Deep Learning<br>• Course logistics<p>1<p>March …

A quick look at Support Vector Machines

Mar 19, 2017 #machine-learning<p>Support Vector Machines (SVMs) are a popular machine learning algorithm with lots of usages and I learned something …

Distill: Supporting Clarity in Machine Learning

Posted by Shan Carter, Software Engineer and Chris Olah, Research Scientist, Google Brain Team<br>Science isn't just about discovering new results. It’s …

Machine Learning

Fraudulent claims made by IBM about Watson and AI

Announcing<p>Welcome to the future of learning - the way it was always meant to be.<p>Enroll today.<p>They are not doing "cognitive computing" no matter how …

Artificial Intelligence

Building A Machine Learning Platform to Predict User Behavior on Mesos

PyCNN: Image Processing with Cellular Neural Networks in Python

<b>Cellular Neural Networks (CNN)</b> [wikipedia] [paper] are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are …

Machine Learning Exercises In Python, Part 1

<i>This post is part of a series covering the exercises from Andrew Ng's machine learning class on Coursera. The original code, exercise text, and data</i> …

AI’s Road to the Mainstream: 20 Years of Machine Learning

When I enrolled in Computer Science in 1995, Data Science didn’t exist yet, but a lot of the algorithms we are still using already did. And this is …

Understanding gradient descent

Gradient descent is a standard tool for optimizing complex functions iteratively within a computer program. Its goal is: given some arbitrary …

Deep Learning

Machine Learning Yearning

The Deep Learning Video Collection: 2016

Learn about the very latest in deep learning techniques for tools such as TensorFlow, Spark, and GraphLab with this video collection of every talk on …

News & Blog

24 July 2017<p>In reinforcement learning (RL) applications, random perturbations influence the exact amount of reward received. A typical algorithm …

Multivariable Calculus | Mathematics

Welcome!<p>This is one of over 2,200 courses on OCW. Find materials for this course in the pages linked along the left.<p><b>MIT OpenCourseWare</b> is a free & …

Google DeepMind AI learns to play 'Montezuma's Revenge'

Back in 2015, Google-owned company DeepMind gave its AI access to a series of Atari 2600 games, 49 of which it learned to play its own. One particular title was a bit too complicated for the technique it used, though: <i>Montezuma's Revenge</i>. Now, the team has figured out how to make it "curious" enough …

Artificial Intelligence