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Python libraries for machine learning 2022

Machine learning is the subfield of artificial intelligence, which is the hot topic around the corner as it focuses on the capability of a...

Top Deep Learning libraries

Python is becoming one of the top programming languages providing all kinds of libraries and modules to perform various tasks, including complex numerical computations...

How Cropin is transforming the agroecosystem with machine learning?

The increasing demand for food products is driving farmers and agro companies to find newer ways to increase production and reduce waste. To address...

Synchrotron X-ray Microdiffraction Image Screening enabled by Federated Learning

A new Synchrotron X-ray microdiffraction (μXRD) image screening method based on federated learning (FL) has recently been proposed by a research team led by...

Popular Machine Learning papers on Papers with Code

The world now realizes the value of machine learning algorithms in computing and forecasting, which has fueled a boom in machine learning research. According...

Researchers use Deep Learning to Hallucinate synthesis of new proteins

In a new study, researchers from the University of Washington School of Medicine assert that deep learning can be used for protein molecule synthesis...

Top Machine Learning Books

Machine learning (ML) is a sub-field of artificial intelligence (AI) that enhances software applications' accuracy without explicit programming changes. It uses algorithms to predict...

USPTO leverages data analytics, AI, and machine learning to increase efficiency and performance

The United States Patent and Trademark Office (USPTO) is leveraging data analytics and technologies such as AI and machine learning (ML) to increase its...

FedLTN: A Novel Federated learning-based system by MIT Researchers

MIT researchers and the MIT-born startup DynamoFL have created the FedLTN, a federated learning-based system. FedLTN is based on the lottery ticket hypothesis, which...

Understanding risk of Membership Inference Attacks on Deep Reinforcement Learning Models

Last year, researchers published a paper on the privacy risks posed by deep reinforcement learning systems. The researchers have suggested a framework for evaluating...
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