AI

AI Neural Networks

How Deep Neural Networks Work

This is part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193

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AI IoT

Applied Predictive Maintenance in Aviation: Without Sensor Data!

Think that advanced predictive maintenance solutions require sensors? Think again. We will show how using Azure Databricks Lakehouse is modernizing our data & analytics environment which has given us new capability to create custom predictive models for hundreds of families of aircraft components without sensor data. We currently have over 95% success rate with over […]

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Research

NVIDIA’s Real Time Ray Tracer

Two Minute Papers explores the paper “Rearchitecting Spatiotemporal Resampling for Production” in the video below.

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AI Ethics Future

Nick Bostrom: The Threat Of Artificial Intelligence aka Elon Musk’s Biggest Fear

Patrick Bet-David sits down with Nick Bostrom. Nick Bostrom is a New York Times bestseller, was recommended by Elon Musk and Bill Gates among others, and helped to popularize the term “superintelligence”. Bostrom believes that superintelligence is a potential outcome of advances in artificial intelligence.

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Autonomous Vehicles Javascript

Self-Driving Car with JavaScript Course – Neural Networks and Machine Learning

Learn how to create a neural network using JavaScript with no libraries. In this course you will learn to make a self-driving car simulation by implementing every component step-by-step. You will learn how to implement the car driving mechanics, how to define the environment, how to simulate some sensors, how to detect collisions, and how […]

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AI

Documentary on the Rise of AI Companions

What if AI companion systems become so believable, humans begin to treat them as a shoulder to lean on? What if these companions could be based on loved ones who have passed?

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AI Generative AI Google

Perceiver models for Music Generation by Deepmind

Google and Deepmind have created a new AI model for music generation. The architecture they used is similar to a decoder transformer but uses cross-attention instead of self-attention in the first layer. Learn more at https://magenta.tensorflow.org/perceiver-ar

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