Google Launches rǝ: A Browser-Based Toolset To Reconstruct The 3D Structure Of Cities Using...

Google launched a browser-based toolset: rǝ (pronounced as re”turn"). rǝ is an open-source and scalable system running on Google Cloud and Kubernetes...

Google Introduces New Version Of Google Analytics Powered By Machine Learning

Google comes up with a refresh of Google Analytics (i.e., Google Analytics 4) with new machine learning prediction features, including extra privacy...

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 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 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...

Google Open-Sources TensorFlow Recommenders (TFRS): Helping Users Find What They Love

‘Recommendation’ is something you come across every day on almost every online platform, from the morning news stories to the late-night online TV...

Google Introduces RigL Algorithm For Training Sparse Neural Networks

Most of the AI models these days are based on Artificial Neural Networks. These neural networks consist of a system of Artificial...

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...

Tired Of Tedious Pre-Processing Tasks? Try TensorFlow Lite Task Library!

Every developer loves TensorFlow and even more when you can implement it directly on Android. But we have to do a lot...

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...
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