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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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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.
Featured
MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.
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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.
Engineers Wiki. Most Asked Questions.
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TAGGED WITH machine learning
"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.
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TAGGED WITH computer vision
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.
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Latest Posts
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.
3 minutes read
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.
3 minutes read
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.
EPFL researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.
2 minutes read
Chris Cooper, collaborators to use AI to design new plastics that can be more easily recycled for a circular economy
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Researchers at NC State University have unveiled Rainbow, a first-of-its-kind multi-robot self-driving laboratory that autonomously discovers high-performance quantum dots – semiconductor nanoparticles critical for next-generation displays, solar cells, LEDs and quantum-engineering technologies.
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event | OCT 23 - OCT 23, 2025
Join Altair's upcoming virtual event, ATCx Digital Twin – From Idea to Reality on October 23rd, to discover how simulation, AI, and high-performance computing are converging to redefine product design and development.
A research team from ETH Zurich has taught the four-legged robot ANYmal to play badminton – including precise arm movements, quick reflexes and nimble footwork.
New machine learning framework bridges the embodiment gap between robots and humans and enables quadrupedal robots to perform versatile movements like pouring soda, organizing shoes, and even cleaning up cat litter.
A new machine learning model can save engineers time and computation resources by using AI to quickly and accurately predict simulation results.
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Wearables have enjoyed a meteoric rise in popularity in recent years to the point that one in four of us now wear a smart connected device. Fifteen years ago, it was one in 100 people. This growth in ownership has been driven to an extent by convenience and integration.
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