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Learn the basics of computer vision by building a self-driving toy car

Data Science Dojo

In this blog post, we will explore the technology behind self-driving toy cars and how computer vision can be used to enable them to navigate their environment. We will discuss the various computer vision techniques that can be implemented, including thresholding, edge detection, blob detection, optical flow, and machine learning.

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Insights from a Computer Science Conference: DATE 2024

Towards AI

It covers a wide range of topics, from optimizing Neural Networks for a particular hardware platform to new fabrication methods for building new hardware for AI applications. The conference lasted three (very intensive) days, with cutting-edge paper presentations and keynotes from academic and industry leaders.

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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

In this dynamically changing landscape, businesses must pivot towards data-driven models to maintain a competitive edge. Operating on a publish-subscribe messaging model, where producers are tasked with publishing data to topics while consumers subscribe to these topics to process the data. Let’s dive in!

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From obscurity to dominance: Leveraging AI in SEO for financial success in 2023

Data Science Dojo

With some of the big boys like OpenAI launching their ChatGPT framework, staying ahead of the competition requires more than just innovative strategies and cutting-edge technologies. We have already seen how Microsoft has used AI implementation to rescue their browser from the edge of obscurity, with Google scrambling to try and catch up.

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InstructGPT vs GPT3.5 and GPT 4

Data Science Dojo

Generating educational content that can help explain complex topics in a simple manner. Now, instead of LEGO bricks, InstructGPT uses something called a transformer architecture, which is just a fancy term for a series of steps that help the computer understand and generate human-like text.

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Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 3

AWS Machine Learning Blog

This is Part 3 of our series where we design and implement an MLOps pipeline for visual quality inspection at the edge. In this post, we focus on how to automate the edge deployment part of the end-to-end MLOps pipeline. ONNX also provides optimized runtimes for the most common edge hardware platforms.

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The Internet Enabled Mass Surveillance. AI Will Enable Mass Spying.

Hacker News

Computers collect data about what we’re doing on them, and as both storage and processing have become cheaper, that data is increasingly saved and used. Ask it to search through millions of conversations and organize them by topic, and it’ll do that. This spying is not limited to conversations on our phones or computers.

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