Full Autonomy In Sight As Tesla Acquires DeepScale, A Computer Vision Startup

Word on the street is that Tesla has now equipped its ever-growing tech-arsenal in the form of DeepScale. This UC Berkeley computer vision startup has proved their mettle last year with their work on SqueezeNet and Carver 21. The news…

How The Deep Learning Approach For Object Detection Evolved Over The Years

Machine learning algorithms for image processing have evolved at a tremendous pace. They can now help in the reconstruction of objects in ambiguous images, colouring old videos, detecting the depth in moving videos and much more. One recurring theme in…

Sony Knows The Future Of Music Is AI. This Is What It’s Doing

The use of AI to disrupt the music industry has been gaining traction of late. Earlier this year, Google demonstrated how to shred notes into lower dimensions and then perform fundamental techniques like batch normalisation and autoregressive factorisation to create…

Machine Learning Helps Uncover Hidden Links In Renaissance Paintings

Machine Learning algorithms for image processing have evolved at a tremendous pace. They can now help in the reconstruction of objects in ambiguous images, colouring old videos, detecting the depth in moving videos and much more. One recurring theme in…

How To Go Beyond CNNs With Stand-Alone Self-Attention Models

The advent of large datasets and compute resources made convolution neural networks (CNNs) the backbone for many computer vision applications. The field of deep learning has in turn largely shifted toward the design of architectures of CNNs for improving the…

German Team Develops An AI Solution That Can Help Predict Volcanic Eruptions 

There are around 1500 active volcanoes worldwide, and more than 80 erupt each year. These eruptions occur with no warning leading to irrecoverable loss of property and life.  Forecasting an eruption requires round the clock monitoring along with a fool…

Guide To Build Your First Convolutional Neural Network with PyTorch

When we consider Machine Learning as a professional skill, it ultimately comes down to the choice of using the right algorithms, packages and libraries and, there are many. Speaking extensively of packages, there are many popular choices to choose from…

Hands-On Guide To Multi-Label Image Classification With Tensorflow & Keras

Image classification is one of the trending applications in machine learning. It has a wide range of applications — from facial recognition algorithms to identifying complex patterns in images like crime detections, and many other social, medical and technical applications.…

Google Activates ‘Dropout’ Patent, Neural Network Engineers To Be On Alert?

Google has recently activated its patent for the IP known as ‘Dropout’; a solution widely used to regularize deep neural networks. The method is used to reduce overfitting, and allow for a computationally cheap, yet effective method of regularization. This…

A Beginner’s Guide To Generative Adversarial Networks(GANs)-The Concept Behind DeepFake 

In the early 1960s, AI pioneer Herbert Simon observed that in a span of two decades, machines will match the cognitive abilities of humankind. Predictions like these motivated theorists, sceptics and thinkers from a cross-section of domains to find ways…

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