Data Phoenix Digest - ISSUE 30

Project OpenBytes and the NextArch Foundation, Azure OpenAI service, AI for drinking water, a gentle introduction to Vector Space Models, Non-Deep Networks, Wav2CLIP, ADOP, NLP course, AutoML course, jobs, and more ...

Dmitry Spodarets
Dmitry Spodarets


What's new this week?

Project OpenBytes and the NextArch Foundation. Azure OpenAI Service. No more facial recognition for Facebook. Self-driving farm robots and AI for drinking water.

  • The Linux Foundation announces Project OpenBytes and the NextArch Foundation. OpenBytes is an “open data community” and a new data standard and format for AI apps, while NextArch will build software development architectures that support a range of environments.
  • Microsoft launches the Azure OpenAI Service, making OpenAI’s ML models available on Azure. GPT-3, OpenAI’s groundbreaking language model that can produce human-like text with just a few prompts, is now up for grabs for Microsoft developers.
  • Amid concerns about individual privacy and surveillance, Facebook will shut down its facial recognition system and delete the facial recognition templates. In 2019, Facebook was fined $5 billion by the US Federal Trade Commission over the use of facial recognition.
  • Self-driving farm robot built by Corbon Robotics uses lasers to kill 100,000 weeds p/hour, giving famers hope to save land from toxic herbicides. Herbicide is expensive, so there’s an  incentive to find new ways of weed control in addition to the health and safety reasons.
  • Barati Farimani, an assistant professor of mechanical engineering at Carnegie Mellon University, and his team use AI to design an improved method of desalination. AI decides which atoms should be removed from nanopore graphene membranes.

Funding News

  • Anomalo, the complete data quality platform company, raises $33M in Series A funding led by Norwest Venture Partners.
  • OctoML, a startup that helps enterprises optimize and deploy their ML models raises $85M in Series C funding led by Tiger Global Management.
  • Notable, a startup that develops intelligent automation solutions for healthcare,  raises $100M in Series B funding led by ICONIQ.


PyTorch: Transfer Learning and Image Classification
In this tutorial, Adrian Rosebrock will explain how you can perform transfer learning for image classification using the PyTorch deep learning library. Check out part 1 of the tutorial.

Neural Radiance Field (NeRF) Papers at ICCV 2021
In anticipation of ICCV (Intl. Conf. on Computer Vision), the author rounded up all papers that use Neural Radiance Fields (NeRFs) that will be represented in the main ICCV2021 conference.

A Gentle Introduction to Vector Space Models
In this tutorial, you'll learn about vector space, the properties of cosine similarity and how it can help you compare two vectors, and how cosine similarity and L2 distance are different.

Predicting Spreadsheet Formulas from Semi-Structured Contexts
In this article, Google presents their new model that learns to automatically generate formulas based on the rich context around a target cell. Find the related paper inside.

Improve Your Data Science Workflow with a Multi-Branch Training MLOps Pipeline Using AWS
In this post, you'll learn how to create a multi-branch training MLOps CI/CD pipeline using AWS CodePipeline and AWS CodeCommit, in addition to Jenkins and GitHub.

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