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Researchers From Tel Aviv University, UC Berkeley and NVIDIA Introduce ‘DETReg’,...

The application of self-supervised pretraining to computer vision has been beneficial, especially for object detection. However, previous approaches were not designed with...

NVIDIA And King’s College London Uses Cambridge-1 To build AI Models...

NVIDIA and King's College London have revealed new information about one of the first projects to be run on Cambridge-1, the UK's...

Griffith University Researchers Design AI Video Surveillance System To Detect Social...

Researchers at Griffith University have developed an AI video surveillance system to monitor social distancing breaches in an airport without compromising privacy....

Apple’s Machine Learning Team Introduces ‘Hypersim’: A Photorealistic Synthetic Dataset for...

The computer vision community has been eager to find a way for computers and humans alike to be able to understand the...

A New Study By UCSF and Facebook Introduces Neural Interface...

Researchers at the University of California San Francisco have achieved promising results in their Brain-Computer Interface (BCI) project, demonstrating that someone with...

Boston University Researchers Propose A Machine Learning Algorithm For Autonomous Vehicles...

With self-driving cars that are powered by machine learning algorithms, vast amounts of driving data is required for them to function safely....

Facebook AI Open-Sources ‘Droidlet’, A Platform For Building Robots With Natural...

Robots today have been programmed to vacuum the floor or perform a preset dance, but there is still much work to be...

USC Researchers Propose a Novel Learning Framework, ‘Group-Supervised Learning (GSL)’, To...

Artificial intelligence has proven itself to be adept at many tasks, from inventing human faces that don't exist to winning games of...

Google AI Releases The Open Buildings Dataset, A New Open-Source Dataset...

Google uses artificial intelligence technology to find millions of buildings on the satellite map that were previously difficult to locate. These can...

IBM Research Proposes ‘TITAN’: A T Cell Receptor Specificity Prediction Model...

Imagine trying to solve a puzzle with one billion pieces. Imagine the feeling of accomplishment when you finish it, and then imagine...

Unicorns

Researchers From Tel Aviv University, UC Berkeley and NVIDIA Introduce ‘DETReg’,...

The application of self-supervised pretraining to computer vision has been beneficial, especially for object detection. However, previous approaches were not designed with...

NVIDIA And King’s College London Uses Cambridge-1 To build AI Models...

NVIDIA and King's College London have revealed new information about one of the first projects to be run on Cambridge-1, the UK's...

Apple’s Machine Learning Team Introduces ‘Hypersim’: A Photorealistic Synthetic Dataset for...

The computer vision community has been eager to find a way for computers and humans alike to be able to understand the...

A New Study By UCSF and Facebook Introduces Neural Interface...

Researchers at the University of California San Francisco have achieved promising results in their Brain-Computer Interface (BCI) project, demonstrating that someone with...

Facebook AI Open-Sources ‘Droidlet’, A Platform For Building Robots With Natural...

Robots today have been programmed to vacuum the floor or perform a preset dance, but there is still much work to be...

Google AI Releases The Open Buildings Dataset, A New Open-Source Dataset...

Google uses artificial intelligence technology to find millions of buildings on the satellite map that were previously difficult to locate. These can...

IBM Research Proposes ‘TITAN’: A T Cell Receptor Specificity Prediction Model...

Imagine trying to solve a puzzle with one billion pieces. Imagine the feeling of accomplishment when you finish it, and then imagine...

OpenAI Releases Triton, An Open-Source Python-Like GPU Programming Language For Neural...

OpenAI released their newest language, Triton. This open-source programming language that enables researchers to write highly efficient GPU code for AI workloads...

DeepMind Researchers Introduce Epistemic Neural Networks (ENNs) For Uncertainty Modeling In...

Deep learning algorithms are widely used in numerous AI applications because of their flexibility and computational scalability, making them suitable for complex...

Apple Explains Its New On-Device Machine Learning Methods To Recognize People...

Photos are an integral way for people to browse, search, and relive life's moments with their friends and family. Photos on your...

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