APSP on GPU
Published:
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3D
APSP
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
Algorithms
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
CUDA
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
Divide-and-Conquer
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
GPU
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
Graph Theory
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
Multi-GPU
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
Network Theory
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
NetworkX
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
Optimization
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
Pytorch
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
Recursion
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
SLAM
Collaborative Approaches in AI
Published:
I believe that in order for a system to be successful in large scale contexts, the system must learn to collaborate. The idea makes sense considering how the human species dominated the earth because we learnt to cooperate. We see this in nature as well; Packs of wolves and prides of lions learnt to hunt together as teamwork proved to be more efficient and effective. Ant colonies can join themselves to form bridges or rafts when faced with appropriate obstacles. Amazing! Don’t you think?
Tensor
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
attention mecahnism
Collaborative Approaches in AI
Published:
I believe that in order for a system to be successful in large scale contexts, the system must learn to collaborate. The idea makes sense considering how the human species dominated the earth because we learnt to cooperate. We see this in nature as well; Packs of wolves and prides of lions learnt to hunt together as teamwork proved to be more efficient and effective. Ant colonies can join themselves to form bridges or rafts when faced with appropriate obstacles. Amazing! Don’t you think?
autonomous driving
Collaborative Approaches in AI
Published:
I believe that in order for a system to be successful in large scale contexts, the system must learn to collaborate. The idea makes sense considering how the human species dominated the earth because we learnt to cooperate. We see this in nature as well; Packs of wolves and prides of lions learnt to hunt together as teamwork proved to be more efficient and effective. Ant colonies can join themselves to form bridges or rafts when faced with appropriate obstacles. Amazing! Don’t you think?
category1
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
category2
Future Blog Post
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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
cool posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
cyborg
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
deep neural networks
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
Collaborative Approaches in AI
Published:
I believe that in order for a system to be successful in large scale contexts, the system must learn to collaborate. The idea makes sense considering how the human species dominated the earth because we learnt to cooperate. We see this in nature as well; Packs of wolves and prides of lions learnt to hunt together as teamwork proved to be more efficient and effective. Ant colonies can join themselves to form bridges or rafts when faced with appropriate obstacles. Amazing! Don’t you think?
flappy bird
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
genetic algorithms
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
graph neural networks
Collaborative Approaches in AI
Published:
I believe that in order for a system to be successful in large scale contexts, the system must learn to collaborate. The idea makes sense considering how the human species dominated the earth because we learnt to cooperate. We see this in nature as well; Packs of wolves and prides of lions learnt to hunt together as teamwork proved to be more efficient and effective. Ant colonies can join themselves to form bridges or rafts when faced with appropriate obstacles. Amazing! Don’t you think?
hexapod
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
kernel
APSP on GPU
Published:
The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration
Author: Taher Anjary
locomotion
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
machine learning
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
phase functioned neural networks
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
reinforcement learning
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
robot
Learning Locomotion
Published:
Imagine you were given a hexapod- a six legged robot that kind of looks like a cyborg spider. And someone asks you to program it to walk. Your first though might be to use a bunch of trigonometric formulae to control each of its joints. Such an approach is hard-coded, difficult to design (believe me, I’ve tried), and your hexapod would not be able to adapt very well to changing terrain or speed- or at least, it would not look very organic. Fortunately, we live in an age where artificial intelligence can do the thinking for us. Described below are 3 methods that could be used to train a robot to move and balance itself as though it were real!
transformer
Collaborative Approaches in AI
Published:
I believe that in order for a system to be successful in large scale contexts, the system must learn to collaborate. The idea makes sense considering how the human species dominated the earth because we learnt to cooperate. We see this in nature as well; Packs of wolves and prides of lions learnt to hunt together as teamwork proved to be more efficient and effective. Ant colonies can join themselves to form bridges or rafts when faced with appropriate obstacles. Amazing! Don’t you think?