Monthly Archives: November, 2020

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

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

Proposed Machine Learning Model To Predict The Power-Conversion Efficiency (PCE) Of Materials That Can Be Used In Next-Generation Organic Solar Cells

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

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 research, develop,...

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

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

An MIT And IBM Research Group Has Proposed A Cross-Modal Auditory Localization Framework To Locate Moving Objects Using Stereo Sound Instead of Visual Input

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

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