Data Phoenix Digest - ISSUE 34

The launch of PyTorch Live, training a DCGAN in PyTorch, text classification with BERT in PyTorch, transformers from scratch, Machine-in-the-Loop rewriting for creative image captioning, TorchGeo, LILA, OpenPrompt, WaveFake, books, jobs, and more ...

Dmitry Spodarets
Dmitry Spodarets

NEWS

What's new this week?

The launch of PyTorch Live. A new kid of the AWS AI/ML stack — Amazon SageMaker Canvas. AI advances in biology, art, chemistry, and more.

  • Meta announces PyTorch Live, a set of tools designed to make AI-powered experiences for mobile devices easier using JavaScript, to build apps for Android and iOS.
  • AWS releases Amazon SageMaker Canvas, a new visual, no code capability that allows to build ML models and generate predictions without writing code or requiring ML expertise.
  • Biology is up for an AI/ML revolution. We are getting closer to being able to ‘program biology’ for diagnostic and treatment purposes. Challenges are numerous, however.
  • A new machine-learning model developed by MIT researchers has the potential to enable robots to understand interactions in the world in the way humans do.
  • Botto, an AI-powered program that creates art, has been on the market for five weeks and has raked in more than €1 million from its first four NFT artworks at auction.
  • A Columbia Engineering team has developed a new computation technique that can accurately predict the reduction temperature of metal oxides to their base metals.

Funding News

  • FJDynamics, a robotics startup, closes a Series B round of $70M as it advances its goal to empower workers in the harshest environment with robotic technologies.
  • CloudTrucks, an enabler of cloud technology in trucking, raises $115M to keep building the tools for trucking entrepreneurs to succeed and thrive in the industry.
  • Simpro, a field service management software company, raises $350M from K1 Investment Management with participation from existing investor Level Equity.

ARTICLES

Parameter Exploration at Lyft
In this article, you'll learn about parameter exploration practices at Lyft, including the ups and downs of the methods they agreed on, to drive data-driven decision making at scale.

Root Causing Data Failures
Handling data is not an easy task. In this post, you'll find out how Anomalo, a data quality platform, can help you find the root cause of data quality issues automatically.

Training an Object Detector from Scratch in PyTorch
In this tutorial, you'll learn how to train a custom object detector from scratch using PyTorch. Note that this lesson is part 2 of a 3-part series on advanced PyTorch techniques.

Orchestrate a Data Science Project in Python With Prefect
This step-by-step guide will teach you how you can use Prefect to optimize your DS workflow in a few lines of Python code, to increase efficiency in the long run.

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