Tech Newsletter: Issue 7

The latest technology news from the past week (January 7-14th).  Enjoy. 🤖

🔗 Links
Deep Learning at GILT: machine learning, computer vision and fashion recommendation at scale http://gi.lt/2jbEMy5

Deep learning 2016 the year in review http://bit.ly/2jbGzTE

The Google Brain team — Looking Back on 2016 http://bit.ly/2j7KvoV

“OK Facebook”—Why stop at assistants? Facebook has grander ambitions for modern AI http://bit.ly/2jid5q2

Packers win Super Bowl LI? One A.I. platform using “Swart Intelligence” believes so http://es.pn/2ioa6Nk

The Periodic Table of AI  http://bit.ly/2jClQZt

World’s largest hedge fund to replace managers with artificial intelligence http://bit.ly/2jClylh

Until next time,
Steve

Tech Newsletter: Issue 6

The latest AI, machine learning, and bot news from the past week (January 1-7th).  Enjoy. 🤖

🔗 Links
You Know Your Product Team is Failing — Do You Know Why? http://bit.ly/2iKouhC

Six Commandments for Writing Good Code http://bit.ly/2hY80Dy

Three challenges you’re going to face when building a chatbot http://bit.ly/2iewnJ9

LSTM Neural Network for Time Series Prediction http://bit.ly/2jc0fdc

TensorKart: self-driving MarioKart with TensorFlow http://bit.ly/2hStIXN

Deep Learning for Video Classification and Captioning http://bit.ly/2i6vEtI

Continuous online video classification with TensorFlow, Inception and a Raspberry Pi http://bit.ly/2izE2mk

Building an Event-Based Analytics Pipeline for Amazon Game Studios’ Breakaway http://amzn.to/2ixQF0L

Rewriting TensorFlow Graphs with the GTT http://bit.ly/2ioW51a

Machine Learning Crash Course: Part 2 http://bit.ly/2hvThy1

Until next time,
Steve

Tech Newsletter: Issue 5

The latest AI, machine learning, and bot news from the past (two) weeks (December 20-31st).  Enjoy. 🤖

📒 News & Notes
Happy New Year!  2017 looks to be primed to be a big year for assistants & bots (with AI sprinkled throughout).  This year I’m planning on diving in a bit deeper on the bot building front and hope to create my first “real” bot/assistant for our clients in Q1.  

Our house was invaded by Echo’s and Google Home’s over the holidays and as I see our family adjust to these ever present assistants I can’t help but think about what the future will look like as they become more pervasive in people’s homes and offices.  I’m looking forward to diving into the various options for natural language understanding and bot building and will be sure to share interesting links I come across.  What are you most interested in exploring in 2017?

Now, onto the links for the past couple of weeks……

🔗 Links
Session-based Recommendations with Recurrent Neural Networks http://bit.ly/2i9qwFi

So you are interested in deep learning http://bit.ly/2hR6hg5

Artificial intelligence is going to make it easier than ever to fake images and video http://bit.ly/2ileCII

rasa NLU: Open-source bot tool for natural language understanding http://bit.ly/2gOyd1T

Voice Is the Next Big Platform, and Alexa Will Own It http://bit.ly/2gVTF5j

WebRTC: The future of games? http://bit.ly/2i5DfeX

Cheers,
Steve