Gain a comprehensive understanding of Edge AI by exploring the fundamental concepts, hardware components, software tools, and real-world applications.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
The Next Byte
Entertainment
The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...
165 Posts
High Tech Campus Eindhoven
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
49 Posts
ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
43 Posts
Edge Impulse
Machine Learning
Edge Impulse offers the latest in machine learning tooling, enabling all en...
24 Posts
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Latest Posts
Products referred to as "beauty tech" that utilize AI, IoT, and other technologies are breathing new life into the cosmetics industry. First, let's look at the background that led to the birth of beauty tech.
4 minutes read
Bert Moons, Director of System Architecture at AXELERA AI discusses bottlenecks in transformer inference for generative AI.
10 minutes read
Transforming manufacturing processes through advanced inspection
In this article, we will look at the challenges that engineers encounter when deploying a predictive maintenance system and how edge AI platforms like Edge Impulse can help factories optimize and deploy predictive maintenance models on industrial edge devices.
What’s Next for Artificial Intelligence and Edge Computing?
The Challenges Ahead of Edge AI and How to Solve Them.
How Edge AI Senses the World for Situational Awareness.
What to Consider When Selecting Your Edge AI Hardware and Software.
A Deep Dive Into Edge AI in Energy-Constrained Environments
What to Consider When Selecting Your Edge AI Hardware and Software.
An Overview of the Different Edge AI Platforms.
Benefits, Utilities, and Hybrid Deployment of Edge AI.
How Edge AI is Transforming Industries and Application Areas.
The greater the amount of high-quality data you have, the better your machine learning model will be. This post looks at the challenges (and solutions) involved in creating and organizing a dataset when you’re starting from scratch.
5 minutes read
