TensorFlow Ecosystems for Deep Learning, Detecting Adversarial Attacks, and Real-Time HRV-B

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4 min readOct 14, 2022

TensorFlow Ecosystem for Efficient Deep Learning

In this blog post, you will learn about one of the most popular deep learning frameworks, TensorFlow, and the different components of the TF Ecosystem that can help you build efficient deep learning solutions.

Detecting Adversarial Attacks with Subset Scanning

Deep neural networks are susceptible to adversarial perturbations of their input data that can cause a sample to be incorrectly classified. Use this guide to get started with detecting adversarial attacks!

Scalable, Real-Time Heart Rate Variability Biofeedback for Precision Health: A Novel Algorithmic Approach

This tutorial offers foundational knowledge needed for building a real-time algorithm that provides heart rate variability biofeedback (HRV-B).

DeepMind Discovers New Way to Crank Up Computer Speeds & Multiply Numbers

An AI by DeepMind has discovered a method of improving matrix multiplication, which could allow for a boost in speeds upwards of twenty percent.

Take Our Survey on the State of Machine Learning Use in 2022 to Win an ODSC West Ticket!

Take our quick survey on the current state of machine learning and you’ll be entered for a chance to win a ticket to ODSC West this November!

AI Bill of Rights Unveiled by the White House

In October 2022, the U.S. White House unveiled a new AI Bill of Rights meant to serve as a blueprint for ethical AI development.

Meta’s AI Chief Yann LeCun Publishes Paper on Autonomous AI

Yann LeCun, VP & Chief AI Scientist at Meta, has published a new paper where he imagines a future with autonomous AI.

Boston Dynamics & Other Robotics Firms Promise Not to Weaponize Robots

Boston Dynamics and other robotics companies have come together to both pledge the non-weaponization of robots, and to also apply pressure to the industry to not weaponize the immerging technology.

Announcing the Keynotes for ODSC West 2022

Learn more about the keynotes and featured speakers for ODSC West 2022, all luminaries in AI who’ve won awards, hold patents, author papers, and more.

How to Attend ODSC West 2022 For Free

There are plenty of ways to attend ODSC West this November for free, such as by applying for a scholarship or checking out the free AI Expo & Demo Hall.

Video of the Week: Beyond Notebooks — Build Serverless ML Systems with Hopsworks

In this webinar, we will show you how to take your data science skills to the next level. With only Python as a prerequisite, you will learn how to build a serverless system that uses a model to provide an AI-enabled service. We will show you how to build serverless pipelines using GitHub Actions.

Up Your Game: Register for the TechCrunch x iMerit ML DataOps Summit 2022

Join 2,000+ data scientists, engineers, and ML professionals virtually at the ML DataOps Summit on Nov. 8 to hear from leaders at the forefront of deploying ML DataOps solutions that power ML and AI. Don’t miss speakers from Microsoft, Meta, DoorDash, Salesforce, Zoox, Capital One, Glassdoor, and more! Join for free.

Upcoming Webinars:

Lightning Interview: “AI Governance”

Fri, Oct 14, 2022 1:00 PM EST

The ways in which AI intersects with our daily lives have been steadily increasing, making AI Governance, which works to ensure that these systems are applied fairly, even more essential. During this Lightning Talk, Kay Firth-Butterfield will discuss the challenges she has faced in establishing and implementing AI Governance, as well as the success she’s had.

Overcoming Challenges of Movement Data Quality to Enable High-Fidelity Use Case

Tue, Nov 8, 2022 12:00 PM — 1:00 PM EST

Getting movement data right is hard. When businesses get location wrong, they lose customers’ trust, delivering suboptimal experiences and irrelevant information. For this reason, it is critically important to get movement data right, while preserving consumer privacy. Join us for a webinar where Gabriel Durkin, Director of Data Science at Foursquare, will share practical guidance for overcoming challenges of movement data quality.

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