Revolutionizing Engineering Quality Control: The Transformative Power of Edge AI
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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...
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High Tech Campus Eindhoven
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
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ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
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Edge Impulse
Machine Learning
Edge Impulse offers the latest in machine learning tooling, enabling all en...
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Latest Posts
Umar Iqbal and collaborators developed a framework to measure data collection, sharing and use by smart speaker platforms
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How neuromorphic computing and BrainChip's Akida solution can benefit AI training
In this episode, we delve into the ever-evolving world of hybrid AI and generative AI models.
21 minutes read
Navigating AI's Future in a Riveting Podcast Discussion
Unlocking AI Potential Through Strategic Dataset Curation: A Comprehensive Guide for Enhancing Machine Learning Models
Audio event detection functions can listen for distinct sounds or patterns embedded within an audio stream. It uses advanced signal processing and machine learning algorithms to accurately identify and classify sound events in real-time, with no internet connectivity required.
Sensor fusion enables the seamless integration of data from multiple sensors, paving the way for advanced Edge AI implementations that optimize real-time processing, enhance decision-making, and boost system responsiveness in dynamic environments.
The butterfly effect—the idea that a butterfly flapping its wings in South America could change the course of a tornado in Texas—has been a popular way to illustrate the difficulty of making predictions about the behavior of chaotic systems like the weather. Because such systems are extremely sensitive to their initial conditions, even the tiniest of changes can send their behavior careening off into unexpected directions.
4 minutes read
Training robust AI models can be challenging when using crowdsourced or publicly available datasets. The most useful neural networks are ones that replace expert knowledge to solve real problems. One example would be a visual inspection model for the factory floor.
3 minutes read
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
This is the first article in a new series from BrainChip highlighting their vision and technology.
3 minutes read
In this episode, Rob Telson speaks with Industry Expert, Michael Azoff, about neuromorphic computing in the AI space including edge AI, neural network architectures, sensory-based applications and more.
3 minutes read
BrainChip's leadership shares details on the company's development of the Akida chip, future prospects, and more in this informative podcast.
4 minutes read
Amid the race to make AI bigger and better, Lincoln Laboratory is developing ways to reduce power, train efficiently, and make energy use transparent.
