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 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...

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...

Google’s first AI Gift for Africa; An AI Lab.

Ghana being the growing center for technology advancements in Africa, received the first gift from the internet god “Google” as an Artificial...

TensorFlow Releases Its New Update: TensorFlow 2.4.0-rc4

TensorFlow has recently released its new update, TensorFlow 2.4.0-rc4. TensorFlow Profiler now supports profiling MultiWorkerMirroredStrategy that is now a stable API and tracing multiple...

Google AI Introduces URL2Video For Automatic Video Creation From A Web Page

Google introduces URL2Video, a research prototype pipeline that automatically converts a web page into a short video.  Brief Introduction to...

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...

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...

Researchers Examine Three Intrinsic Motivation Types To Stimulate Intrinsic Objectives Of Reinforcement Learning (RL)...

Reinforcement learning (RL) has enabled tools to make decisions and solve complex problems in unknown environments directly from high-dimensional image inputs, such...

Google AI Releases ‘Objectron Dataset’ Consisting Of 15,000 Annotated Videos And 4M Annotated Images

Computer vision tasks have reached exceptional accuracy with new advancements in machine learning models trained with photos. Adding to these advancements, 3D...
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