Google AI Introduces ‘Model Search’: An Open Source Platform For Finding Optimal Machine learning...

Google AI has announced the release of Model Search, a platform that will help researchers develop machine learning (ML) models automatically and efficiently....

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...

Google Trains A Trillion-Parameter AI Language Model That Is Almost 6 Times Bigger Than...

Google researchers have developed techniques that can now train a language model with more than a trillion parameters. The 1.6 trillion parameter model...

Google’s Latest AI Tool, Chimera Painter, Uses Machine Learning To Create Fantastical Creatures

Researchers at Google have developed a new AI tool called Chimera Painter that turns doodles into unusual creatures. This tool uses machine learning to...

Google AI Launches ‘Hum to Search’: A New Machine Learning System That Helps To...

Google recently launched Hum to Search, a new machine-learned system within Google Search that helps to find a song by humming. This approach...

Google AI introduces TF-Coder, a program synthesis tool that helps you write TensorFlow code

Manipulating tensors is not an easy task as it requires a lot of prerequisites, such as keeping track of multiple dimensions, Dtype...

Google Open-Sources LIT: A Visual, Interactive Model-Understanding Tool For NLP Models

Google AI Researchers recently released its open-source tool LIT (Language Interpretability Tool) for visualizing, auditing, and understanding the NLP models.

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...

Neural Structured Learning (NSL): A TensorFlow Framework To Train Neural Networks With Structured Signals

Neural Structured Learning (NSL) is a TensorFlow framework for training neural networks with structured signals. NSL can handle structured input in two...

TensorFlow Releases MinDiff: A Technique For Addressing Unfair Bias In Machine Learning Models

A year ago, TensorFlow open-sourced a platform that enables sliced evaluation of machine learning (ML) model performance, called Fairness Indicators. Response evaluation is...
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