Model Proposed By Columbia University Can Learn Predictability From Unlabelled Video

We, humans, are always making predictions about our environment. These predictions are made based on various factors, and as we all know,...

How DeepMind Is Using JAX To Accelerate AI Research

JAX is a Python library developed by Google researchers for high-performance numerical computing. Its API is based on NumPy. NumPy is a...

Researchers From The University of Alberta Propose U2- Net: A Novel Deep Network Architecture...

In the computer vision field, the process of detection and segmentation of the most noticeable objects from natural scenes is known as...

Leveraging ML Compute Framework For Accelerated TensorFlow Performance On Mac

TensorFlow 2 offers best-in-class training performance on various platforms, devices, and hardware. This empowers researchers and professionals to work on their favored...

An MIT And IBM Research Group Has Proposed A Cross-Modal Auditory Localization Framework To...

Object localization means locating an instance of a particular moving object in a scene. This is done by using visual data as...

CLEANN : A Framework That Protects Artificial Neural Networks From Trojan Attacks

The demand for Artificial Intelligence tools and machine learning algorithms have gained importance in various sectors in the past few years. Despite...

Tired Of Tedious Pre-Processing Tasks? Try TensorFlow Lite Task Library!

Every developer loves TensorFlow and even more when you can implement it directly on Android. But we have to do a lot...

BindsNET: An Open-Source Library Used For Simulating Spiking Neural Networks (SNNs) On CPUs Or...

If you are a computer scientist specialized in bioinformatics and computational biology and looking for a Python framework for simulating spiking neural...

Implementing Batching for Seq2Seq Models in Pytorch

In this tutorial, we will discuss how to implement the batching in sequence2sequene models using Pytorch. We will implement batching by...

Classifying the Name Nationality of a Person using LSTM and Pytorch

Recurrent Neural Networks(RNN) are a type of Neural Network where the output from the previous step is fed as input to the current step. In the case of Convolution Neural Networks (CNN), the output from the softmax layer in the context of image classification is entirely independent of the previous input image.
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