The health care industry is increasingly relying on artificial intelligence – in responding to patient queries, for example – and a new Cornell study shows how decision-makers can use real-world data to build sustainability into new AI systems.
The health care industry is increasingly relying on artificial intelligence – in responding to patient queries, for example – and a new Cornell study shows how decision-makers can use real-world data to build sustainability into new AI systems.
Now able to learn locomotion and navigation together, robots develop balanced gaits and safe routes.
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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.
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.
The health care industry is increasingly relying on artificial intelligence – in responding to patient queries, for example – and a new Cornell study shows how decision-makers can use real-world data to build sustainability into new AI systems.
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Now able to learn locomotion and navigation together, robots develop balanced gaits and safe routes.
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This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
Chuan Wang, Shantanu Chakrabartty, Yong Wang developing AI-integrated device
The FabObscura system helps users design and print barrier-grid animations without electronics, and can help produce dynamic household, workplace, and artistic objects.
How a no-code TinyML platform and a leading low-power wireless chipset maker joined forces to push AI into the edge in just a few kilobytes.
Scientists at ITMO University developed an LLM-based tool that analyzes text content and style to detect whether it was written by a human or an AI.
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CLIP, a text-image model published by OpenAI, has been the most impactful approach to fusing text and images.
Artificial intelligence is growing fast, and so are the number of computers that power it. Behind the scenes, this rapid growth is putting a huge strain on the data centers that run AI models.
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MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.
An international team of researchers has developed a silicon-based metasurface that transmits light in a narrow range of wavelengths irrespective of a source's polarization.
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Discover how Fixposition's Vision-RTK Pro overcomes GNSS-challenged environments by fusing computer vision, GNSS, and IMU technology to deliver reliable centimeter-level accuracy for surveyors and mapping professionals.
Come with us on a journey of integration – from prototype to production – in the narrative framework of fictional company Precision Parts Inc.
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How advanced nuclear fuel models can help power digital infrastructure safely and efficiently.
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AI is reshaping 3D printing by optimizing workflows, cutting waste, and enhancing design. At Formnext 2025, industry leaders will showcase how these innovations are driving efficiency and pushing the boundaries of additive manufacturing.
