Elon Musk has a new idea he wants to bring to fruition: the BCI, or Brain Computer Interface.
Are BCI’s the next step in human evolution – an inevitable upgrade we’ll need after the age of smartphones?
If done right, they can help us fulfill our wildest fantasies. We’ll be able to learn anything, experience anything, and be anywhere in seconds. I’ll discuss the philosophical, theoretical, and technical aspects behind the idea.
Siraj Ravel shares his thoughts in this video.
Here’s a great online tech talk about AI and Deep Learning at Amazon.
In this session:
- Learn about the breadth of AI services available on the AWS Cloud
- Gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition
- Understand why Amazon has selected MXNet as its deep learning framework of choice due its programmability, portability, and performance
Tensorflow, Google’s framework for machine learning and neural networks , has recently been open-sourced.
With this new tool, deep machine learning transitions from an area of research into the mainstream of software engineering.
In this session, Martin Görner teaches you how to pick the correct neural network type for your problem and how to make it behave.
A PhD or familiarity with differential equations is no longer required.
Two Minute Papers has a great video focusing on how DeepMind taught itself how to walk all by itself. It’s a great look at the impact of reinforcement learning.
The paper referenced in the video “Emergence of Locomotion Behaviours in Rich Environments” is available online.
In this episode of Cloud AI Adventures, Yufeng Guo walks through the 7 steps involved in applied machine learning.