1
The Road to Superintelligence (2015)
Part 1 of 2: "The Road to Superintelligence". Artificial Intelligence — the topic everyone in the world should be talking about.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 45 posts.
2
Neuralink and the Brain's Magical Future
I knew the future would be shocking but this is a whole other level.
3
Understanding LSTM Networks (2015)
Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence.
4
There's No Fire Alarm for Artificial General Intelligence
What is the function of a fire alarm?
5
The Neural Net Tank Urban Legend
AI folklore tells a story about a neural network trained to detect tanks which instead learned to detect time of day; investigating, this probably never happened.
6
Attacking Machine Learning with Adversarial Examples
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
7
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
8
9
Hey Siri: An On-Device DNN-Powered Voice Trigger for Apple’s Personal Assistant
The “Hey Siri” feature allows users to invoke Siri hands-free. A very small speech recognizer runs all the time and listens for just those…
10
Fooling Neural Networks in the Physical World with 3D Adversarial Objects
We've developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at.
11
Attacking machine learning with adversarial examples
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them…
12
13
Pixel Visual Core: Google’s first custom-designed co-processor
Google’s first custom-designed co-processor for consumer products is built into every Pixel 2. Soon, it will enable more applications to use Pixel 2’s camera for taking …
14
Learning with Privacy at Scale
Understanding how people use their devices often helps in improving the user experience. However, accessing the data that provides such…
15
16
17
Unsupervised sentiment neuron
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
18
Machine learning without centralized training data
Posted by Brendan McMahan and Daniel Ramage, Research ScientistsStandard machine learning approaches require centralizing the training data on one ...
19
20
Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
21
How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
How we beat the state of the art to build a real-life A.I. app.
22
Principal Component Analysis Explained Visually (2015)
Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset. It's often used to make data easy to explore and visualize.
23
24
More on Dota 2
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
25
Robust Adversarial Examples
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
26
Eager Execution: An imperative, define-by-run interface to TensorFlow
Posted by Asim Shankar and Wolff Dobson, Google Brain Team UPDATE, April 3 2018: Please see the official user guide for more up-to-date code examp...
27
The impossibility of intelligence explosion
In 1965, I. J. Good described for the first time the notion of “intelligence explosion”, as it relates to artificial intelligence (AI):
28
Deep image prior 'learns' on just one image
Deep convolutional networks have become a popular tool for image generation and restoration. Generally, their excellent performance is imputed to their ability to learn realistic image priors from a large number of example images. In this paper, we show that, on the contrary, the structure of a generator network is…
29
TensorKart: self-driving MarioKart with TensorFlow
Kevin Hughes' blog
30
DeepMind and Blizzard Open StarCraft II as an AI Research Environment
DeepMind's scientific mission is to push the boundaries of AI by developing systems that can learn to solve complex problems. To do this, we design agents and test their ability in a wide range of environments from the purpose-built DeepMind Lab to established games, such as Atari and Go.