Over the last decade or so, the world of AI has been obsessed with the problem of pattern recognition — Ask any budding engineer “Give me an algorithm to find X in an environment Y”, and expect to hear the words, “Give me T examples in environment Y, and I will predict X with so much accuracy”.
Over the last decade or so, the world of AI has been obsessed with the problem of pattern recognition — Ask any budding engineer “Give me an algorithm to find X in an environment Y”, and expect to hear the words, “Give me T examples in environment Y, and I will predict X with so much accuracy”.
Henrik Christensen shares his views on the impact of the robot revolution and stories from his life in European and US robotics research.
Mcity demonstrates the powerful pairing of connectivity and automation.
Unsupervised learning is a machine learning approach that finds patterns, structure, or useful representations in unlabeled data. It groups similar observations, compresses high-dimensional features, detects outliers, discovers item relationships, and supports modern representation learning.
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Protect the cloud by securing the edge with hardware-based security, TPMs, HSMs, and resilient edge computing architectures.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
A detailed engineering reference on performance, signaling, and power differences in current graphics memory standards.
how Last Praetorian Interactive made Project Vesperi with one Xsens suit
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Over the last decade or so, the world of AI has been obsessed with the problem of pattern recognition — Ask any budding engineer “Give me an algorithm to find X in an environment Y”, and expect to hear the words, “Give me T examples in environment Y, and I will predict X with so much accuracy”.
Henrik Christensen shares his views on the impact of the robot revolution and stories from his life in European and US robotics research.
Mcity demonstrates the powerful pairing of connectivity and automation.
5 minutes read
Circuit elements that store information in their electrical resistances enable a brain-like form of computing, storing and processing information in the same place.
4 minutes read
New chip reduces neural networks’ power consumption by up to 95 percent, making them practical for battery-powered devices.
The impact of artificial intelligence within warehouses will act as a crystal ball for AI, robotics in other industries
No contact is required with objects by using inexpensive, handheld 'light-reading' device
Thanks to software developed bicycle engineers can quickly calculate the most aerodynamic shape for a bike. The software applies artificial intelligence to a set of user-defined specifications. Engineers have used the program to design a bike that they hope will break the world speed record.
3 minutes read
The current state of robotic actuators and mechanical control systems are failing to keep pace with advancing AI software, exploring novel actuator technologies may bridge the gap between man and machine.
