Data Phoenix Digest - ISSUE 35

AI trends report, AWS re:Invent 2021, how to handle ML model drift in production, XGBoost vs LightGBM, DCGAN for Fashion-MNIST, Adobe Research at ICCV 2021, NVIDIA TAO, HyperStyle, EditGAN, Florence, videos, books, jobs, and more ...

Dmitry Spodarets

NEWS

What's new this week?

AI trends report. AWS re:Invent 2021 — Anything interesting? News on DeepMind's AI. New Relic's performance monitoring. The most powerful NLP model and the latest from AI in physics.

  • About 20% of tech leaders say that AI and machine learning, cloud computing, and 5G will be the most important technologies next year. Learn about the survey in more detail!
  • AWS re:Invent 2021 ended last week. Was it anything interesting? Yes and no! But AWS for sure did its best to release a range of products to strengthen its suite of AI/ML services.
  • DeepMind has created a system called Player of Games that can perform well at both perfect information games as well as imperfect information games. Here's how!
  • New Relic has announced a solution to monitor the performance and accuracy of ML models in real-time by extending the capabilities of its flagship observability platform — New Relic One.
  • Naver has announced the release of HyperCLOVA, one of the largest AI language models. It has learned 6,500 times more Korean data than GPT-3 and contains 204 billion parameters.
  • MIT researchers have created a DL model that predicts the 3D shapes of a molecule solely based on a graph in 2D of its molecular structure. Molecules are represented as small graphs.

Funding News

  • NewtonX, the leading B2B market research and intelligence company, raises $32M in a Series B funding round led by Marbruck Investments.
  • Synthesia, a company leveraging AI to generate videos of avatars, closes a $50M Series B round led by Kleiner Perkins. The total raised has reached $66.5M.
  • Suki, the leader in voice AI technology for healthcare, raises $55M in a Series C funding round  led by March Capital.

ARTICLES

How to Handle ML Model Drift in Production
In this Q&A, you'll learn what to do if you have a model in production, and the data is drifting. Eight awesome and detailed tips to help you solve the problem in the bud.

XGBoost vs LightGBM: How Are They Different
XGBoost and LightGBM are two of the most popular algorithms that are based on Gradient Boosted Machines. Let's find out how different they are, with pros and cons for each.

Text-based Causal Inference
In this tutorial, you'll learn about a new method of analyzing voter fraud disinformation by estimating causal effect with text as treatment and confounder.

This post is for subscribers only

Subscribe Now

Already have an account? Log in