OpenAIOpenAI and journalism
Exploring the intersection of OpenAI and journalism for the future of media
Google AIResponsible AI at Google Research: User Experience Team
Exploring responsible AI development and UX design practices at Google Research's Responsible AI User Experience (Responsible AI UX) team.
MIT AIMultiple AI models help robots execute complex plans more transparently
Multiple AI models enable robots to execute complex plans transparently by utilizing different data modalities.
How I Fly - Yoko Li
An interview with Yoko Li, an investment partner at A16Z and open-source AI developer, discussing her exciting AI projects and experiments, including AI Town and AI Tamago.
MIT AITechnique could efficiently solve partial differential equations for numerous applications
Efficient technique proposed for solving partial differential equations for various applications using physics-enhanced deep surrogate models.
AWS MLCreate a document lake using large-scale text extraction from documents with Amazon Textract
Create a document lake using large-scale text extraction from documents with Amazon Textract
The New York TimesExperimenting with Handwriting Recognition for The New York Times Crossword
Experimenting with handwriting recognition for The New York Times Crossword app using on-device ML and a deep convolutional neural network.
OpenAIOpenAI and journalism
Developing AI tools for journalism, OpenAI clarifies their position amidst The New York Times lawsuit and emphasizes collaboration with news organizations.
Google CloudIntroducing the Dataflow ML Starter project: A practical template to develop and deploy Dataflow ML jobs
A practical template to develop and deploy Dataflow ML jobs
CloudflareAn overview of Cloudflare's logging pipeline
An overview of Cloudflare's logging pipeline, including high availability, SLOs, and scaling to handle close to a million log lines per second.
Databricks5 tips to get the most out of your Databricks Assistant
Tips and tricks to maximize the productivity of your Databricks Assistant
Apple MLDeploying Attention-Based Vision Transformers to Apple Neural Engine
Optimizing and deploying attention-based vision transformers with efficient implementation on the Apple Neural Engine.