Author: Shobha Kakkar

Shobha Kakkar
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Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.

Moscow Metro Adds Facial Recognition Payment Tool, ‘Face Pay’

With the launch of this new service, all Moscow Metro stations and road networks will use Face Pay for ticket payments. This is a...

Researchers Introduce ‘DeepMoCap’: A Low-Cost, Robust And Fast Optical Motion Capture Framework Using Convolutional Neural Networks

The field of human pose tracking, also known as motion capture (MoCap), has been studied for decades and is still a very active area...

Facebook AI Introduces Ego4D Dataset, A Step Towards Egocentric Perception

Facebook has teamed up with 13 universities in 9 countries to create the first-person perspective dataset Ego4D. It contains more than 700 project participants, wearing...

AI Researchers Developed A Deep Learning Model To Predict Traffic Crashes Before They Happen

The world is a prominent, confusing place. We have all the technology to make navigation more accessible. However, we still rely on traffic lights...

Cambridge Quantum (CQ) Open-Sources ‘lambeq’: A Python Library For Experimental Quantum Natural Language Processing (QNLP)

Cambridge Quantum ("CQ") announced the release of the world's first toolkit and an open-source library for Quantum Natural Language Processing (QNLP), called 'lambeq'. Speaking in...

NVIDIA AI Releases StyleGAN3: Alias-Free Generative Adversarial Networks

The recent advances in the quality and resolution of Generative adversarial networks (GAN) have seen a rapid improvement. These techniques are used for various...

Sartorius Open-Source ‘LIVECell’, A Deep Learning Dataset For Label-Free Live Cell Segmentation

The Life Science company Sartorius open-sourced 'LIVECell', a deep learning dataset for label-free quantitative segmentation of live cell images. This was announced via a research...

Microsoft Researchers Introduce ‘Mesh Graphormer’, A Graph-Convolution-Reinforced Transformer

While 3D human pose and mesh reconstruction from a single image is a trending area of research because of its applications for human-computer interactions,...

NVIDIA AI Proposes A Novel AI Framework For Mixed Reality Tasks, Such As Photorealistic Virtual Object Insertion

It is often challenging to estimate albedo, normals, depth, and 3D spatially-varying lighting from a single image all at the same time. The problem...

CMU Researchers Introduce ‘CatGym’, A Deep Reinforcement Learning (DRL) Environment For Predicting Kinetic Pathways To Surface Reconstruction in a Ternary Alloy

It isn't an easy task to design efficient new catalysts. In the case of multiple element mixtures, for example - researchers must take into...

Intel Unveils Loihi 2: Its Second-Generation Neuromorphic Artificial Intelligence Research Chip

In 2018, Intel launched its first-generation Loihi chip, which was created using a proven 14nm process node and integrated 128k Neurons at the same...

Scikit-learn, A Python Machine Learning Library, Gets New Feature Updates in Version 1.0

After a long 14 years of development, the latest version-1.0 has been announced for scikit-learn, a Python machine learning library, with major updates and...

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