FAANG

Optimizing shipping logistics in a time of change

Within logistics, shipping is a vast and delicate ecosystem. Over the last couple of years many people were directly impacted…

3 years ago

A Multi-Axis Approach for Vision Transformer and MLP Models

Posted by Zhengzhong Tu and Yinxiao Li, Software Engineers, Google Research Convolutional neural networks have been the dominant machine learning…

3 years ago

NVIDIA Hopper Sweeps AI Inference Benchmarks in MLPerf Debut

In their debut on the MLPerf industry-standard AI benchmarks, NVIDIA H100 Tensor Core GPUs set world records in inference on…

3 years ago

A steadfast community in an ever-changing data landscape

There are still not enough data experts out there, even as the world of data evolves rapidly. We started the…

3 years ago

Transfer learning for TensorFlow image classification models in Amazon SageMaker

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine…

3 years ago

Improve transcription accuracy of customer-agent calls with custom vocabulary in Amazon Transcribe

Many AWS customers have been successfully using Amazon Transcribe to accurately, efficiently, and automatically convert their customer audio conversations to…

3 years ago

Mel Spectrogram Inversion with Stable Pitch

Vocoders are models capable of transforming a low-dimensional spectral representation of an audio signal, typically the mel spectrogram, to a…

3 years ago

GAUDI: A Neural Architect for Immersive 3D Scene Generation

We introduce GAUDI, a generative model capable of capturing the distribution of complex and realistic 3D scenes that can be…

3 years ago

Digitizing Smell: Using Molecular Maps to Understand Odor

Posted by Richard C. Gerkin, Google Research, and Alexander B. Wiltschko, Google Did you ever try to measure a smell?…

3 years ago

Detect audio events with Amazon Rekognition

When most people think of using machine learning (ML) with audio data, the use case that usually comes to mind…

3 years ago