One of the major drawbacks of performing reinforcement learning, imitation learning, deep learning research on real-world environment is the availability of appropriate simulation environments. For example in reinforcement learning a game or physics simulator is needed with good fidelity to real world scenarios.
There are plenty of games and simulators…
If you are a young individual about to enter the work force, congratulations! It is always an exciting time to build your life and career. But some of you may wonder what to do. The academic environment maybe is what you are used to coming out of schools. Then there…
We know we are a creature of habits. We like a routine, with its well defined days and we like to be able to predict the output of the actions we perform. It has to do with the way our brain works, which inherently tries to minimize surprise.
But what…
In covid-19 times we had the opportunity to experiment with different learning methods beside the traditional classroom. This is good!
Having 20–30 students (or more) in a classroom listening to a live lecture is hardly an effective way to teach. There are several reasons why:
in a new coronavirus world
These are some guidelines that I would like to see governments and center for disease control set for a safe exit quarantine strategy.
In the presence of a transmissible virus we ought to change our style of lives from what we are used to, this…
One definition of intelligence is the ability to predict the future and the results of our actions. If an outside observed was to examine how are prepared for the late 2019 — 2020 coronavirus pandemic, one may not find it to resonate well with the definition of intelligence.
But if…
Convert all your movie files and shrink them~
If you want to save space in our hard disk, convert your movie files with the latest compression algorithms:
What are the foundation of intelligence? What can make an artificial entity capable of intelligent behavior in its own environment? Here I list the major building blocks that are necessary to learn to solve multiple tasks while acquiring knowledge and material gains. …
We are at the end of a decade that will be forever know as the “Decade of Deep Learning and AI”. What lies ahead is exciting and will continue to change our lives.
Neural Networks, back-propagation, the promise of intelligent system, Artificial Intelligence (AI) — all have been in the…
This posts explain the typical sequence-to-sequence (s2s) neural networks architecture and how to use them.
Imagine we have in input sequence X= [x1, x2, x3, …] and an output sequence Y= [y1, y2, y3, y4, …]. Inputs and outputs respectively use sequences with input symbols and output symbols. …
