Monthly Archives: April, 2021

Large text-to-video models trained on internet-scale data have shown extraordinary capabilities to generate high-fidelity films from arbitrarily written descriptions. However, fine-tuning a pretrained huge model might be prohibitively expensive, making it difficult to adapt these models...
Researchers have proposed a novel approach to enforcing distributional constraints in machine learning models using multi-marginal optimal transport. This approach is designed to be computationally efficient and allows for efficient computation of gradients during backpropagation. Existing methods...

This California-Based AI Startup, ‘Crowd AI’, Enables Anyone to Create Customized Visual AI Models Without Any Coding Experience

CrowdAI is a customized vision AI startup based out of California, United States. The organization claims to empower companies to create and deploy custom...

Apple Researchers Invent A New Blood Pressure System Using Neural Networks that accepts a Seismocardiogram (SMG) As Input

Recently, the US Patent & Trademark Office has published a patent application from Apple labeled “Interpretable Neural Networks for Cuffless Blood Pressure Estimation.” Studies show...

Introduction to K-means Clustering

What is clustering? What is k-means? This article will answer these questions. Apart from all this, we will also learn more about K-means...

Scientists From The Max Planck Florida Institute For Neuroscience (MPFI) Have Developed ‘Gold Digger’, A Software Tool That Uses A Modified PIX2PIX Deep Learning...

Electron microscopy (EM) is a method used for high-resolution images of biological and non-biological samples. It requires precise and time-consuming steps from sample preparation...

Aflorithmic And UneeQ Collaborate To Bring Back Einstein’s Voice In The form of an AI Bot

Aflorithmic, an audio content production company and digital human creators UneeQ have come together to synthesize the voice of legendary scientist Albert Einstein. The organizations...

MLCommons, AI Industry’s Performance Benchmark, Releases MLPerf™ Inference v1.0 Results To Understand The Power Usage of Machine Learning (ML) Models

Machine learning is an area that is being incorporated into almost every industry, and there has been a call for standard machine learning benchmarks...

This Washington-Based AI Startup Offers An Acceleration Platform That Helps Engineering Teams Deploy Machine Learning Models On Any Hardware

OctoML is a Washington-based startup that offers an acceleration platform for deploying machine learning models and algorithms on the hardware. This platform primarily helps the...

Unity Launches Synthetic Image Datasets To Train AI And Computer Vision Models Faster

Unity Software Inc., a Video-game software developer, has developed synthetic image datasets that it claims can be used to create computer vision, artificial intelligence models...

Researchers From Allen Institute for AI Releases AI2-THOR 3.0, An Embodied AI Framework for Visual Object Manipulation In Robotics Testing Scenario

The Allen Institute for AI (AI2) announces the release of AI2-THOR 3.0, which is an embodied AI framework. Embodied Artificial Intelligence is a sub-specialty of artificial intelligence at...

Optimizers In Keras Part – 2

In this article, we will look forward to the rest of the optimizers available in Keras, i.e., Adadelta, Rmsprop, and ADAM.Rmsprop:Like Adagrad, it also...

Time-Travel Rephotography: An AI-Based Technique Using StyleGAN2 Framework To Color And Restyle Old Photographs

Film and photography methods faced numerous challenges in capturing the essence of an image in the past. Initially, apart from the black and white...

Facebook Now Allows Users To Export Their Profile Data To Other Platforms: Follow These 5 Steps To Learn How

Transfer of posts, photos, and videos from platforms like Facebook has always been difficult. Regulators and politicians have accused the world's most extensive social...

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