Article #5 of Transforming Industrial Manufacturing with Industry 4.0 Series: The next evolution of AR in manufacturing comes by pairing it with AI, allowing for seamless information access and tracking of specific surfaces/points of interest in real-time.
Article #5 of Transforming Industrial Manufacturing with Industry 4.0 Series: The next evolution of AR in manufacturing comes by pairing it with AI, allowing for seamless information access and tracking of specific surfaces/points of interest in real-time.
Columbia Engineers design a robot hand that is the first device of its kind to join advanced sense of touch with motor-learning algorithms — it doesn’t rely on vision to manipulate objects
Who are prompt engineers and what are we learning from them?
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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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 is Europe's smartest square km and has the ultim...
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"MechStyle" allows users to personalize 3D models, while ensuring they're physically viable after fabrication, producing unique personal items and assistive technology.
A simulation of an individual patient's brain tumors, kept up to date with readily available data, can identify whether dietary treatments and drugs are likely to work.
Hey Tuya showcases how agentic Physical AI evolves assistants from isolated commands into systems that learn context, coordinate devices, and act reliably across real-world environments.
This episode celebrates five years of The Next Byte with a recap of 2025, highlighting standout episodes through The "Saucies" Awards, reflecting on major trends, sharing predictions for 2026, and thanking the global listener community.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
Article #5 of Transforming Industrial Manufacturing with Industry 4.0 Series: The next evolution of AR in manufacturing comes by pairing it with AI, allowing for seamless information access and tracking of specific surfaces/points of interest in real-time.
Columbia Engineers design a robot hand that is the first device of its kind to join advanced sense of touch with motor-learning algorithms — it doesn’t rely on vision to manipulate objects
Who are prompt engineers and what are we learning from them?
Learn about how to reduce the risk and cost of late design, and manufacturing changes at the free Altair Virtual Global Event on June 28, 2023.
Thanks to a novel combination of cryogenic transmission electron tomography and deep learning, EPFL researchers have provided a first look at the nanostructure of platinum catalyst layers, revealing how they could be optimized for fuel cell efficiency.
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High Tech Campus Eindhoven (HTCE) and its AI Innovation Center today announced a collaboration with Amazon Web Services (AWS). The new collaboration aims, through education and inspiration, to increase the implementation and usage of AI services and machine learning (ML), as these technologies not only transform business, but also transforms research and development.
Part 1 of a 2-part series on prompt engineering.
In this episode, we talk about how robotics and artificial intelligence are being used in the sheet metal forming industry to improve safety, efficiency and precision.
Detecting inconsistencies in device behavior offers insights into how to improve user experience. using a high-speed camera, this use case deep dives into device response time measurement using a black-box approach that replicates real-world touchscreen usage.
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The need for advancements in education and awareness of computational design thinking.
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Matroid's computer vision obfuscates any data deemed sensitive in video media.
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LwM2M may be the missing link to implement continual learning in TinyML projects.
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AI capital – the emerging capital resource for businesses and the economy as a whole. With AI capital, it is transforming the nature of work and creating new opportunities and challenges for businesses and workers. The future of work will be characterized by the increasing use of AI technologies to augment human capabilities and drive innovation. However, to fully realize the potential of AI capital, it is important to democratize access to AI and ensure that they are developed and deployed in a responsible and ethical manner.
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“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
The overall goals are to minimise the environmental damage caused by industrial production, and, more specifically, to do our best to reduce our industrial carbon footprint.
