Introduction To OpenVINO: Learn With Their Face Detection Model

OpenVINO stands for Open Visual Inference and Neural Network Optimisation and is a popular computer vision toolkit provided by Intel. The main reason for its increasing popularity is its usage of the state-of-the-art optimisation techniques for reducing the inference time…

How Scientists Are Using Neural Networks To Detect Space Debris

The problem of space debris has reached a critical point as innovators continue to send satellites into space, which are never brought back. There are infinite fragments and disintegration of living and dead satellites zipping around, which often damage other…

Why Children Are The Best Teachers For Artificial Intelligence

Children are the best examples when it comes to someone learning new things on their own. As whatever they learn is unsupervised and mostly learned by themselves without expecting rewards, children are the best teachers for artificial intelligence. Louisa May…

Top 7 Artificial Intelligence Breakthroughs We Saw In 2019

Over the years, artificial intelligence has amazed everyone with numerous breakthroughs, and this year it was no different. The whole year, we witnessed awe-inspiring innovations in reinforcement learning, neural networks, among others. Tech companies from across the world benchmarked various…

Understanding Artificial Neural Network With Linear Regression

Artificial Neural Network (ANN) is probably the first stop for anyone who enters into the field of Deep Learning. Inspired by the structure of Natural Neural Network present in our body, ANN mimics a similar structure and learning mechanism. ANN…

Neural Tangent Kernel (NTK): A New Tool For Understanding Machine Learning Training

  The general consensus in the machine learning community is that making a model smaller would lead to a larger training error, while a bigger model would result in a larger generalisation gap. That is why developers usually hunt for…

Google’s New AI Milestone: Neural Machine Translation Engine Can Now Translate 103 Languages

Neural Machine Translation (NMT), one of the most important topics in deep learning, has gained much attention from the industries and academia over the last few years. In order to create simple models out of the complex ones, tech giant…

Newton Vs Neural Networks: Exploring The Unsolved Three-Body Problem With ML

The three-body problem deals with finding the initial positions and velocities of three-point masses and solving for their subsequent motion according to Newton’s laws of motion and gravitation. The three-body problem is a special case of the n-body problem.  Unlike…

Can Machines Learn To Smell: Researchers May Have Cracked The Code

While CNNs provide vision to a machine, RNNs give machines the ability to draw insights out of speech and sound, haptics gives robots a sense of touch, researchers have now brought a new dimension in machines — the ability to…

Beginner’s Guide To TensorFlow Eager Execution

The modules in TensorFlow are developed to assist its core principle — make tensors flow through a graph — just as the name suggests. From the numbers that are used to represent the models to the operations themselves, everything is…

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