The latest technology news from the past week (January 7-14th). Enjoy. 🤖
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,
The latest AI, machine learning, and bot news from the past week (January 1-7th). Enjoy. 🤖
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,
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……
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
The latest AI, machine learning, and bot news from the past week. Enjoy. 🤖 Subscribe here 🚀.
How to detect image contents from Ruby with Amazon Rekognition http://bit.ly/2hk427q
Mobile is eating the world http://bit.ly/2hEWUPg
Inside the secret meeting where Apple revealed the state of its AI research http://bit.ly/2gec1Om
Overcoming Bias : This AI Boom Will Also Bust http://bit.ly/2h8s2Xe
Bots That Can Talk Will Help Us Get More Value from Analytics http://bit.ly/2gm8rTm
Richard Socher on the future of deep learning http://oreil.ly/2gsbWKZ
This is how Chatbots will Kill 99% of Apps http://bit.ly/2gEdJvR
The O’Reilly Bots Podcast covers advances in conversational user interfaces, artificial intelligence, and messaging that are revolutionizing the way we interact with software. https://www.oreilly.com/topics/oreilly-bots-podcast
Until next week,
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?
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.” – https://openai.com/blog/universe/
Artificial Intelligence, Revealed – A Series of Explainer Videos from Facebook AI http://bit.ly/2g0xygQ
Alexa, Tell Me Where You’re Going Next http://bit.ly/2gaUolK
Botkit, now with love from Microsoft and IBM Watson http://bit.ly/2g36Wcu
How to reward skilled coders with something other than people management http://bit.ly/2gVvWGb
Derek Sivers: Tilting my mirror (motivation is delicate) http://bit.ly/2g9p5ba
Jobs-To-Be-Done: The Product Marketing Framework Intercom Used To Reach $50M in ARR http://bit.ly/2gOYCRP
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.
I’ve really been enjoying How I Built This from NPR.
That’s it for this week. Until next time.
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: http://steveeichert.com/newsletter
Interesting Links 🔗