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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...

Google AI and Caltech Researchers Use Ink Printers and Machine Learning Methods To Discover New Metal Oxides

In today’s world, numerous metal oxides are present which can be put to use in a wide variety of applications as catalysts, adsorbents, and...

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...

MIT Researchers Present ‘RFusion’: A Robot That Finds Lost Items Using AI

The idea of finding lost items in this chaotic world has been a constant problem over the years. How frustrating is it for a...

Syntiant Introduces NDP200 Neural Decision Processor For Vision Edge AI Applications

Syntiant Corp is a provider of deep learning solutions, making the concept edge AI a reality for always-on applications in battery-powered devices, and recently introduced...

Stanford and UC San Diego Researchers Propose A New Approach To Quickly Remove Traces of Sensitive User Information From Machine Learning Models

Machine learning works by sifting through databases and assigning various prediction weights to data features, such as an online shopper's age, location, previous purchase...

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...

Researchers Develop Soft Scalp Electronics (SSE), A Wireless Brain–Machine Interface (BMI) System Using Convolutional Neural Networks (CNNs)

Brain-machine interface (BMI) is a new and challenging engineering and neuroscience technology that aims to provide a channel from the brain to the outside...

Microsoft AI Research Introduces A Huge Synthetic-Face Dataset Along With A Face Analysis Method Using Synthetic Data Alone

We often forget that the most challenging part about machine learning isn't choosing a correct model; it's finding good data. There are concerns with...

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