AI Paper Summary

Google Meet Introduces In-Browser Machine Learning Solution For Blurring And Replacing Background In A Live Video

Google recently announced ways to blur and replace the background in Google Meet for better focus on the person rather than the surrounding. The...

DeepMind Research Introduces Algorithms for Causal Reasoning in Probability Trees

For cutting-edge AI researchers looking for clean semantics models to represent the context-specific causal dependencies essential for causal induction, this DeepMind's algorithm encourages you to look at...

Google AI Open-Sources mT5: A Multilingual Model Trained With mC4 Corpus (101 Language Dataset)

Google has open-sourced a model called mT5, a multilingual variant of Google’s T5 model. This model is trained on a dataset comprising over 101...

LiteDepthwiseNet: A Lightweight Neural Network for Hyperspectral Image Classification

What are Hyperspectral images? Hyperspectral images (HSIs) are a kind of optical remote sensing image with a high spectral resolution. Hyperspectral images (HSIs) have attracted...

Google AI Introduces Performer: A Generalized Attention Framework based on the Transformer architecture

Transformer model, a deep learning framework, has achieved state-of-the-art results across diverse domains, including natural language, conversation, images, and even music. The core block of any Transformer architecture...

Altruist: A New Method To Explain Interpretable Machine Learning Through Local Interpretations of Predictive Models

Artificial intelligence (AI) and machine learning (ML) are the digital world's trendsetters in recent times. Although ML models can make accurate predictions, the logic...

CLEANN : A Framework That Protects Artificial Neural Networks From Trojan Attacks

The demand for Artificial Intelligence tools and machine learning algorithms have gained importance in various sectors in the past few years. Despite all the...

Facebook AI Open-Sources Graph Transformer Networks (GTN) For Automatic Differentiation With Graphs

Graph Transformer Networks (GTN) is an open-source framework with weighted finite-state transducers (WFSTs), a powerful and expressive type of graph. GTN, just like PyTorch,...

Deep4Air: A Deep Learning Based Framework For Airport Airside Surveillance

Major airports worldwide have undertaken substantial expansion programs to accommodate the steady growth in air traffic, including new runways and taxiways. The complex airside...

Introducing EvolGAN: An Evolutionary Method To Generate Higher Quality Images From Small or Difficult Datasets

Generative Adversarial Networks (GANs) are a model architecture that automatically discovers and learn the regularities or patterns in input data. GANs use these learned...

Google AI Introduces Menger, A Massive Large-Scale Distributed Reinforcement Learning (RL) Infrastructure

Reinforcement learning (RL) is a significant area of machine learning, with the potential to solve a lot of real world problems in various fields, like game...

LALE: A Python Library Simplifying Automated Machine Learning

Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task easier. However,...

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