Whether it’s a warehouse looking to balance product distribution and optimize traffic, a factory assembly line inspection, or hospital management making sure that employees and caregivers use personal…
Whether it’s a warehouse looking to balance product distribution and optimize traffic, a factory assembly line inspection, or hospital management making sure that employees and caregivers ...
AI developers, data scientists and companies building intelligent video analytics apps face significant challenges in creating and deploying highly accurate AI. The pre-trained models and ...
In this tutorial, we will walk you through the steps involved in configuring Jetson Nano as an artificial intelligence testbed for inference. You will learn how to install, configure, and ...
With access to the rich dataset coming from the cabs, drivers, and users, Uber has been investing in machine learning and artificial intelligence to enhance its business.
This post explores a specific part of building an ML infrastructure: the deployment of an analytic model in a Kafka application for real-time predictions.
Microsoft has open sourced enhanced versions of transformer inference optimizations into the ONNX Runtime and extended them to work on both GPU and CPU.
This post covers what you need to get up to speed using NVIDIA GPUs to run high performance object detection pipelines quickly and efficiently.
Start working on these 30 challenging open source data science projects to try in 2020. From NLP to CV, these data science projects cover a lot.
DeepPrivacy: A Generative Adversarial Network for Face Anonymization - hukkelas/DeepPrivacy
Benchmarking Triton (TensorRT) Inference Server for Hosting Transformer Language Models.
New Graphcore IPU benchmarks for training and inference machine learning models