Deep Learning

Researchers From Osaka University Use Deep Learning To Improve Mobile Mixed Reality Generation

AI Paper Summary
Researchers from the Division of Sustainable Energy and Environmental Engineering at Osaka University have used deep learning to boost mobile generations of mixed reality....

Fake News Detection Using Word Embeddings, Artificial Neural Networks, and Convolutional Neural Networks

AI Shorts
In this article, we will learn how to use Deep Learning models for NLP. Since the model takes numerical vectors as input, we need...

Facebook AI In Collaboration With New York University Research Team Introduce A Novel Self-Supervised Learning Approach For Computer Vision

AI Paper Summary
Advancements in the field of self-supervised learning (SSL) for visual data have shown that training highly complex image representations without manual labels is possible....

Optimizing Hyperparameters Using The Keras Tuner Framework

AI Shorts
Hyperparameter optimization is an integral part of deep learning as a machine learning project is crucially dependent on the choice of good hyperparameters. Neural...

This Boston Based Startup is Applying Machine Learning-Anchored Computation to Enhance Drug Discovery and Development

AI Shorts
Valo Health is a drug development company headquartered in Boston, Massachusetts, the United States, which uses human-centric data and machine learning to strengthen and...

Facebook AI’s Latest Computer Vision Model SEER Teaches Itself To Classify A Billion Images Accurately With No Human Annotations

AI Paper Summary
Facebook recently unveiled an AI-driven SEER model that can analyze billions of images without any labels or captions, then detect and classify these images...

Facebook AI Presents Contrastive Semi-Supervised Learning (CSL): An AI Approach For Automatic Speech Recognition (ASR) Models

AI Paper Summary
Researchers from Facebook have recently introduced a Contrastive Semi-supervised Learning (CSL) approach that synthesizes pseudo-labeling and contrastive losses to improve learned speech representations’ stability. In...

Researchers At Skoltech Institute Explain How Turing-Like Patterns Cause Neural Networks To Make Mistakes

AI Paper Summary
Although intelligent and adept at image recognition and classification, deep neural networks can still be vulnerable to adversarial perturbations, i.e., small but queer details...

Researchers At Uber AI And Open AI Introduce Go-Explore: Cracking The Challenging Atari Games With Artificial Intelligence

AI Shorts
Learning from rewards is an unsaid practice among all. The above is also the guiding insight behind a family of algorithms that used deep...

Visualizing CNN Models Through Gradient Weighted Class Activation Mappings

AI Shorts
Convolutional Neural Networks(CNNs) and other deep learning networks have enabled extraordinary breakthroughs in computer vision tasks from image classification to object detection, semantic segmentation,...

Facebook AI Introduces TimeSformer: A New Video Architecture Based Purely On Transformers

AI Paper Summary
Facebook AI has built a new architecture for video understanding called TimeSformer. The video architecture is purely based on Transformers. Transformers have become the dominant approach for many...

Researchers from Google Research and UC Berkeley Introduce BoTNet: A Simple Backbone Architecture that Implements Self-Attention Computer Vision Tasks

AI Paper Summary
Researchers at UC Berkeley and Google Research have proposed a conceptually simple yet powerful backbone architecture that incorporates self-attention for various computer vision tasks,...
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