121
Keras 1.0 – Python deep learning framework
Keras was initially released a year ago, late March 2015. It has made tremendous progress since, both on the development front, and as a community.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 250 posts.
122
Amazon Polly – Text to Speech in 47 Voices and 24 Languages
As I was getting ready to write this post, I thought back to my childhood (largely spent watching TV) and some of the popular computer and robot voices of the 1960’s and 1970’s. In just a few minutes, pleasant memories of HAL-9000, B9 (Lost in Space), the original Star Trek Computer, and Rosie (from The […]
123
124
Python, Machine Learning, and Language Wars (2015)
This has really been quite a journey for me lately. And regarding the frequently asked question “Why did you choose Python for Machine Learning?” I guess it…
125
126
127
Speech Is 3x Faster Than Typing for English and Mandarin on Mobile Devices
With the ubiquity of mobile devices like smartphones, two new widely used methods have emerged: miniature touch screen keyboards and speech-based dictation. It is currently unknown how these two modern methods compare. We therefore evaluated the text entry performance of both methods in English and in Mandarin Chinese…
128
AI, Apple and Google
As machine learning starts working, how does that change Google, Apple and the smartphone interface? What companies get reshaped around machine learning?
129
130
131
K-Nearest Neighbors from Scratch
Using JavaScript, we implement the k-Nearest Neighbors algorithm from the bottom up.
132
133
Running your models in production with TensorFlow Serving
Posted by Noah Fiedel, Software EngineerMachine learning powers many Google product features, from speech recognition in the Google app to Smart Re...
134
Emoji and Deep Learning
Dango - Your Emoji Assistant
135
Introducing the Open Images Dataset
Posted by Ivan Krasin and Tom Duerig, Software EngineersIn the last few years, advances in machine learning have enabled Computer Vision to progres...
136
137
A Simple Explanation of How Image Recognition Works
Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You…
138
On Google's self-driving car acident rates
Hot on the heels of my [CES Report](http://ideas.4brad.com/ces-2016-robocar-news) is the release of the latest article from Chris Urmson on [The View from the Front Seat of the Google Car](https://medium.com/@chris_urmson/the-view-from-the-front-seat-of-the-google-self-driving-car-chapter-4-d707b9e925d3#.6okyykxyq)…
139
140
OpenAI and Microsoft
We’re working with Microsoft to start running most of our large-scale experiments on Azure.
141
Where will the next major advance towards general purpose AI come from?
Artificial Intelligence (AI) is making progress in great strides, or at least it appears so! Almost no week passes by without some major announcements of new challenges solved by AI technology or new products powered by AI. Indeed many quantifiable factors attest an unprecedented level of activity: capital…
142
TensorFlow 0.12 adds support for Windows
Native support for TensorFlow on Windows was one of the first requests we received after open-sourcing TensorFlow. Although some Windows users have managed to run TensorFlow in a Docker container, we wanted to provide a more complete experience including GPU support.
143
144
Logical Induction
MIRI is releasing a paper introducing a new model of deductively limited reasoning: “Logical induction,” authored by Scott Garrabrant, Tsvi Benson-Tilsen,
145
146
The Three Cultures of Machine Learning
Everyone should read Leo Breiman's 2001 article, Statistical Modeling: The Two Cultures . (Summary: Traditional statisticians start with a distribution. They try to identify the parameters of the distribution from data that were actually generated from it. Applied statisticians start with data. They have no idea where…
147
148
Tool AIs want to be agent AIs
AIs limited to pure computation (Tool AIs) supporting humans, will be less intelligent, efficient, and economically valuable than more autonomous reinforcement-learning AIs (Agent AIs) who act on their own and meta-learn, because all problems are reinforcement-learning problems.
149
Can computers become conscious?: My reply to Roger Penrose
A few weeks ago, I attended the Seven Pines Symposium on Fundamental Problems in Physics outside Minneapolis, where I had the honor of participating in a panel discussion with Sir Roger Penrose. T…
150
One Hundred Year Study on Artificial Intelligence: 2016 Report
Artificial Intelligence and Life in 2030