Sony Patents Machine Learning Model That Increase or Decrease Level of Difficulty in Beating...

It's over!! The game is stupid. I don't want to play it anymore!!! Almost all of us have faced...

The University of Notre Dame and Facebook AI Research Propose “Img2pose”, A Real-Time 6DoF...

A new study by Facebook AI and the University of Notre Dame research team has proposed a novel real-time six DoF (Degrees...

IBM uses AI-based models to estimate risk of developing genetic diseases

Scientists at IBM, the Broad Institute of MIT and Harvard, and health tech company Color published a study that states the nearness...

Getting Started With Pytorch In Google Collab With Free GPU

In this post, we will discuss the basics of pytorch by using the google colab gpu

LALE: A Python Library Simplifying Automated Machine Learning

Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task...

Google AI Introduces URL2Video For Automatic Video Creation From A Web Page

Google introduces URL2Video, a research prototype pipeline that automatically converts a web page into a short video.  Brief Introduction to...

MONAI: An Open-Source Imaging Framework To Accelerate AI in Healthcare, Ready For Production Using...

MONAI (the Medical Open Network for AI) is a PyTorch-based framework that contributes to AI development for healthcare issues. It is looking to...

Introducing BVR ‘Bridging Visual Representations’: A Novel Module And Applied Plug-In Designed To Better...

Microsoft Research Asia and The Institute of Automation, CAS present a unique module based on an attention-based decoder to integrate different computer...

NVIDIA Releases Imaginaire: A Universal PyTorch Library Designed For Various GAN-Based Tasks And Methods

NVIDIA has developed a universal PyTorch library, Imaginaire, with an optimized implementation of various GAN images and video synthesis.  The Imaginaire library currently...

Google AI Researchers Introduce Tracln- An Easy Approach To Estimate Training Data Influence

In a paper published at NeurIPS 2020, Google AI researchers have proposed a simple, scalable approach to estimate training data influence- TracIn. The quality of a Machine...
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