Nvidia Researchers Introduces A Modular Primitive To Provide High-Performance Primitive Operations For Rasterization-Based Differentiable...

Differentiable rendering is a novel field that helps to calculate the gradients of 3D objects and allows them to get propagated through...

Embold: Static Code Analyzer Uses AI To Help Developers Analyze And Improve Their Code

Embold is a simple but efficient AI-based static code analyzer that can help developers analyze and improve their code. The feature that...

Google AI Releases ‘Objectron Dataset’ Consisting Of 15,000 Annotated Videos And 4M Annotated Images

Computer vision tasks have reached exceptional accuracy with new advancements in machine learning models trained with photos. Adding to these advancements, 3D...

LinkedIn Releases Dagli, An Open Source Machine Learning Library For Java

While machine learning development is increasing every day, a survey from Algorithmia states that most enterprises spend between 8 to 90 days deploying an...

MIT Researchers Explore New Advancements In Asymptomatic COVID-19 Detection Using Artificial Intelligence Through Cough...

It has been affirmed that the asymptomatic people infected with Covid-19 do not exhibit the disease's visible physical symptoms. Thus they are...

Proposed Machine Learning Model To Predict The Power-Conversion Efficiency (PCE) Of Materials That Can...

The researchers at the ARC Centre of Excellence in Exciton Science have created a new type of machine learning model that could...

CompressAI: A PyTorch Library For End-To-End Compression Research

A recent research paper published by InterDigital AI Lab introduces CompressAI. CompressAI is a platform that provides custom operations, layers, models, and tools to...

MHCAttnNet: A Deep Learning Model To More Accurately Predict The MHC-Peptide Bindings Than Existing...

Major Histocompatibility Complex (MHC) alleles and peptides are sequences of amino acids. Peptides are shorter units of proteins, and MHC alleles are...

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...

Carnegie Mellon University’s CyLab Develops World’s Fastest Open-Source Intrusion Detection System

The detection and prevention of software security threats are significant concerns among various individuals and corporations connected through data protocols. They relied...
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