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AI is having an impact on hiring processes, employee retention, and workplace conditions.
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AI is having an impact on hiring processes, employee retention, and workplace conditions.
Learn how to reduce the risk and cost of late design, and manufacturing changes at the free Altair Virtual Global Event on May 16, 2024
Featured
Stanford researchers have developed a new phase-change memory that could help computers process large amounts of data faster and more efficiently.
Engineers Wiki. Most Asked Questions.
Comprehensive Guide
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
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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.
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Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
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Latest Posts
AI is having an impact on hiring processes, employee retention, and workplace conditions.
event | MAY 16, 2024
Learn how to reduce the risk and cost of late design, and manufacturing changes at the free Altair Virtual Global Event on May 16, 2024
Stanford researchers have developed a new phase-change memory that could help computers process large amounts of data faster and more efficiently.
4 minutes read
Learn how bluetooth connected AI/ML microcontrollers are setting the bar for next generation wearables.
In the blink of an eye, the unruly, superheated plasma that drives a fusion reaction can lose its stability and escape the strong magnetic fields confining it within the donut-shaped fusion reactor.
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Researchers use AI and high-speed in-situ imaging to optimize process parameters for 3D printing metal alloys.
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Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions.
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This article provides an in-depth exploration of the evolution, fundamental concepts, diverse types, operating principles, and practical applications of ASICs.
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An international collaboration between EPFL and the University of Glasgow has led to an advanced machine-learning algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades – before turbines are put into service.
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As network reliability is increasingly tested by aging power infrastructure and the complex demands of renewable energy, cellular IoT provides timely solutions.
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Edge AI and sensor fusion revolutionize tech by enabling instant, informed decisions through multi-sensor data analysis. Explore their application by building a Smart Running Jacket with Sony Spresense and SensiEDGE CommonSense via Edge Impulse platform.
