Google AI launches Crowdsourcing Adverse Test Sets for Machine Learning (CATS4ML) Data Challenge

Researchers at Google AI have recently launched Crowdsourcing Adverse Test Sets for Machine Learning (CATS4ML) Data Challenge. This challenge focuses on improving...

Google AI Introduces ToTTo: A Controlled Table-to-Text Generation Dataset Using Novel Annotation Process

The rising field of natural-language generation Research in natural language generation (NLG), a subset of artificial intelligence, is rising....

TensorFlow Quantum Boosts Quantum Computer Hardware Performance

Google recently released TensorFlow Quantum, a toolset for combining state-of-the-art machine learning techniques with quantum algorithm design. This is an essential step...

Create A Festive Song With A Little Help From Machine Learning Using ‘Blob Opera’...

Christmas songs are paramount during this festive season, and with Google's new app, one can make this Christmas memorable by composing cheerful...

Google Open-Sources FUSS: The Free Universal Sound Separation Dataset

Google open-sources FUSS data set (the Free Universal Sound Separation data set) to train and benchmark AI sound separation models. FUSS can...

This open-source framework, ‘AutoFlip’, can do automated video cropping using AI

Many times when we see a video on mobile devices is badly cropped, it is not much you can do about it....

Google AI Team Open Sources BiT – Big Transfer: General Visual Representation Learning (Computer...

Google AI team recently open-source BiT (Big Transfer) for general visual representation learning. Current computer vision training generally involves a pre-trained model...

BlazePose: On-device lightweight convolutional neural network architecture for human pose estimation

Every physical activity we do today can be tracked using Fitbit, phone apps, etc. Every step taken can be counted, but are...

Google AI Researchers Introduce Tracln- An Easy Approach To Estimate Training Data Influence

In a paper published at NeurIPS 2020, Google AI researchers have proposed a simple, scalable approach to estimate training data influence- TracIn. The quality of a Machine...

Google Researchers Introduce a New Framework (TReCS) For Text-to-Image Generation

Deep neural networks based on Generative Adversarial Networks (GANs) have facilitated end-to-end trainable photo-realistic text-to-image generation. Many methods also use intermediate scene...
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