The goal for Tesla Inc's (NASDAQ: TSLA) Full Self-Driving software is for it to eventually allow its vehicles to complete all driving tasks for an...

Making your PyTorch models work in environments with only TensorFlow

In this post, we continue to consider how to speed up inference quickly and painlessly if we already have a trained model in PyTorch. In the previous post We discussed what ONNX and TensorRT are and why they are needed Сonfigured the environment for PyTorch…

Open Neural Network Exchange (ONNX) is an open format built to represent machine learning models. It defines the building blocks of machine learning and deep learning models along with a common file format to enable AI developers to use models with a variety…

OpenAI announced that it will adopt Facebook's PyTorch machine learning development framework in the near future, eschewing Google's TensorFlow.

In our study published in Nature, we demonstrate how artificial intelligence research can drive and accelerate new scientific discoveries. We’ve built a dedicated, interdisciplinary team in hopes...

The ultimate aim of Artificial Intelligence is to provide machines the ability to operate autonomously. One such area which is projected to grow exponentially over the next decade is Autonomous Vehicles. With Artificial Intelligence coupled with the rapid…

I was the A/B Testing guy in my previous role. We were driving thousands of visitors from paid channels to our website, so naturally, we…

How do Kubeflow and SageMaker go up against each other what are the benefits of using one or the other? How does versioning your Machine Learning steps work with Kubeflow and Arrikto? For our 8th MLOps community meetup Josh Bottum VP of Arrikto and Kubeflow…

TaBERT is the first model that has been pretrained to learn representations for both natural language sentences and tabular data.

BasisAI's Senior Software Engineer, Qiao Han, looks at some of the technical challenges in productionising machine learning, specifically looking at how model performance can be monitored continuously after deployment.

Learn practical techniques in detecting…

What happens when AI begins to understand why things happen? Find out in our latest blog post!

Discover how Deep Mind's AlphaZero applies the Monte Carlo Tree Search algorithm to play board games like go, chess, and shogi at superhuman levels!

Infographic download:
https://medium.com/applied-data-science/alphago-zero-explained-in-one-diagram-365f5abf67e0

Bayesian Deep Learning and a Probabilistic Perspective of Model Construction
ICML 2020 Tutorial

Bayesian inference is especially compelling for deep neural networks. The key distinguishing property of a Bayesian approach is marginalization instead of optimization.…

Explore the best tools for tracking and managing machine learning experiments, and learn how to evaluate them.

Federated learning is a branch of machine learning where a shared model is created in a decentralized and privacy-preserving fashion, but existing approaches using blockchain are limited by tailored models. We consider the possibility to extend a set of supported…

TaBERT-powered neural semantic parsers showed performance improvements on the challenging benchmark WikiTableQuestions.

Join Michelle Pokrass, Ishaan Singal, and Kevin Weil as they introduce and demo our new family of GPT-4.1 models in the API