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An authority on autonomous robotic systems talks about the impact of AI on his field here on Earth and growing aspirations for autonomy in space.
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An authority on autonomous robotic systems talks about the impact of AI on his field here on Earth and growing aspirations for autonomy in space.
Featured
Manufacturers are already gaining reduced downtime and cost savings with predictive maintenance. In addition to root cause analysis and predictive maintenance, predictive resolution has a much more sweeping scope in finding and fixing problems beyond machines.
Featuredopinion piece
An interview with Adam White from Infineon on Powering the Next Generation of AI Data Centers.
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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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TAGGED WITH machine learning
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.
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
TAGGED WITH computer vision
EPFL researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.
A deep-dive listicle guiding controls, automation, and quality engineers toward the best vision systems for manufacturing applications in 2026.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Latest Posts
An authority on autonomous robotic systems talks about the impact of AI on his field here on Earth and growing aspirations for autonomy in space.
18 minutes read
Manufacturers are already gaining reduced downtime and cost savings with predictive maintenance. In addition to root cause analysis and predictive maintenance, predictive resolution has a much more sweeping scope in finding and fixing problems beyond machines.
An interview with Adam White from Infineon on Powering the Next Generation of AI Data Centers.
Discover how AI is optimizing manufacturing by increasing quality control, reducing downtime and boosting efficiency.
In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you’ve likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users’ queries.
Edge computing: a decentralized computing paradigm that processes data closer to the source, reducing latency and enabling more efficient use of resources.
In this episode, we explore how AI technology is revolutionizing the detection and monitoring of infrastructure defects and learn how these innovative solutions are enhancing safety, improving maintenance, and preventing failures in critical infrastructure systems
11 minutes read
Alumni-founded Ambience Healthcare automates routine tasks for clinicians before, during, and after patient visits.
Robots, combined with artificial intelligence (AI), are transforming industries such as manufacturing, healthcare, and research.
10 minutes read
In nature, flying animals sense coming changes in their surroundings, including the onset of sudden turbulence, and quickly adjust to stay safe. Engineers who design aircraft would like to give their vehicles the same ability to predict incoming disturbances and respond appropriately.
5 minutes read
Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on computing devices at the periphery of a network, rather than on large cloud servers.
Similar to visual data, collecting and curating sound data that accurately reflects real-world scenarios is a major hurdle in training effective machine learning models.
2 minutes read
Recently we launched new Edge Impulse functionality that shows just one of the powerful ways that LLMs can be utilized on the edge: using GPT-4o to train a 2,000,000x smaller model, that runs directly on device.
4 minutes read
Several factors contribute to the occurrence of retained surgical bodies. One common factor is the hectic nature of surgical environments, where numerous instruments and items are used during procedures.
5 minutes read
The latest large language models (LLMs), like the newly released ChatGPT-4o, are truly astonishing. They are multimodal, meaning they have multiple senses and can interpret text, images, and audio information and respond in a seemingly human-like manner.
3 minutes read
