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

Deep learning 2016 the year in review

The Google Brain team — Looking Back on 2016

“OK Facebook”—Why stop at assistants? Facebook has grander ambitions for modern AI

Packers win Super Bowl LI? One A.I. platform using “Swart Intelligence” believes so

The Periodic Table of AI

World’s largest hedge fund to replace managers with artificial intelligence

Until next time,

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?

Six Commandments for Writing Good Code

Three challenges you’re going to face when building a chatbot

LSTM Neural Network for Time Series Prediction

TensorKart: self-driving MarioKart with TensorFlow

Deep Learning for Video Classification and Captioning

Continuous online video classification with TensorFlow, Inception and a Raspberry Pi

Building an Event-Based Analytics Pipeline for Amazon Game Studios’ Breakaway

Rewriting TensorFlow Graphs with the GTT

Machine Learning Crash Course: Part 2

Until next time,

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

So you are interested in deep learning

Artificial intelligence is going to make it easier than ever to fake images and video

rasa NLU: Open-source bot tool for natural language understanding

Voice Is the Next Big Platform, and Alexa Will Own It

WebRTC: The future of games?


Tech Newsletter: Issue 3

The latest AI, machine learning, and bot news from the past week.  Enjoy. 🤖 Subscribe here 🚀.

🔗 Links 

How to detect image contents from Ruby with Amazon Rekognition

Mobile is eating the world

Inside the secret meeting where Apple revealed the state of its AI research

Overcoming Bias : This AI Boom Will Also Bust

Bots That Can Talk Will Help Us Get More Value from Analytics

Richard Socher on the future of deep learning

This is how Chatbots will Kill 99% of Apps

🎧 Podcasts 

The O’Reilly Bots Podcast covers advances in conversational user interfaces, artificial intelligence, and messaging that are revolutionizing the way we interact with software.

Until next week,

Tech Newsletter: Issue 2

Welcome to the second issue of my newsletter.  While I’m not restricting the content I include in the newsletter to a single topic I have been focused on AI, machine learning, and bots recently so you can expect those themes to be a bit more prevalent.  What topics are you most interested in?

🔗 Links 
OpenAI: Universe – “We’re releasing Universe, a software platform for measuring and training an AI’s general intelligence across the world’s supply of games, websites and other applications.” –

Artificial Intelligence, Revealed – A Series of Explainer Videos from Facebook AI

Alexa, Tell Me Where You’re Going Next

Botkit, now with love from Microsoft and IBM Watson

How to reward skilled coders with something other than people management

Derek Sivers: Tilting my mirror (motivation is delicate)

Jobs-To-Be-Done: The Product Marketing Framework Intercom Used To Reach $50M in ARR

📚 Books 
I’ve been slacking in my reading recently.  After I came across “The Need to Read” I decided I was going to get back into the habit of regularly reading.  As such I picked up Designing Your Life: How to Build a Well-Lived, Joyful Life.  I’m only a few chapters in but I’m really enjoying it thus far.

🎧 Podcasts 
I’ve really been enjoying How I Built This from NPR.

That’s it for this week.  Until next time.
~ Steve

Tech Newsletter: Issue 1

Welcome to the first edition of my Tech/Dev newsletter.   Each week I track the interesting tech and developer news in AI, machine learning, bots, Node, Go, Ruby, Elixir, and more and share them with my subscribers.   Subscribe at:

Interesting Links 🔗

Building and Motivating Engineering Teams

A Primer on Neural Network Models for Natural Language Processing

Making the Switch from Node.js to Golang

Eve: Programming designed for humans

Web development using the Elm programming language

Dockerizing MySQL at Uber Engineering

Rate Limiting the right way

Why Native Apps Really are Doomed: Parts 1 & 2 – Part 1: Part 2:

Favorite New App 📱
I’ve been enjoying 🐳 Whale: Q&A

Favorite New Instagrammer 📸
Nicholas Steinberg: Link