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 AI Introduces a New System for Open-Domain Long-Form Question Answering (LFQA)

Open-domain long-on answering (LFQA) form questions a fundamental challenge in natural language processing (NLP) that involves retrieving documents relevant to a given...

This Research Paper From Google Research Proposes A ‘Message Passing Graph Neural Network’ That...

Recently, Computer vision (CV) research-driven by Deep Learning has achieved significant progress in classifying video clips taken from the Internet and analyzing...

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....

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...

Researchers From Google Brain Introduces Symbolic Programming And A Python Library Called PyGlove For...

A team of researchers from Google Brain introduces a new way of programming automated machine learning (AutoML) based on symbolic programming. The...

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...

Google and Facebook Introduce ‘LazyTensor’ That Enables Expressive Domain-Specific Compilers

Researchers at Facebook and Google introduce a new technique called ‘LazyTensor’ that combines eager execution and domain-specific compilers (DSCs) to employ both...

TensorFlow Open Sources An End-To-End Solution For TFLite On-Device Recommendation

TensorFlow open-sources an end-to-end solution for on-device recommendation tasks to provide personalized and high-quality recommendations with minimal delay while preserving users’ privacy. Developers build...

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...
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