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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Engineers Wiki. Most Asked Questions.
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TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
What is High Bandwidth Memory 3 (HBM3): Complete Engineering Guide 2025
By Umar Waseem.
15 minutes read.
HBM Memory: Complete Engineering Guide & Design Optimization 2025
By Umar Waseem.
14 minutes read.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
The Next Byte
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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
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High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
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ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
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TAGGED WITH machine learning
The virtual VideoCAD tool could boost designers' productivity and help train engineers learning computer-aided design.
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.
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
Smart eyewear promises to transform how we see and interact with the world. Among its many potential advantages, the technology offers hands-free access to information, vision enhancement, and accessibility tools.
TAGGED WITH computer vision
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.
The no-code platform from Matroid trains ordinary cameras to act like expert inspectors, turning simple footage into a pixel-level defect checklist. Even a handheld GoPro can spot issues human eyes miss—using remarkably small datasets.
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Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
Researchers show how the use of machine learning enormously accelerates the search for new semiconducting molecules for perovskite solar cells
3 minutes read
An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.
AI is transforming healthcare by enhancing diagnostic accuracy, optimizing patient care, and improving treatment outcomes, while also necessitating careful consideration of ethics, privacy, and data security.
GPUs excel in parallel processing for graphics and AI training with scalability, while NPUs focus on low-latency AI inference on edge devices, enhancing privacy by processing data locally. Together, they complement each other in addressing different stages of AI workloads efficiently.
A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.
The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.
Wevolver was at the center of action during the Hexagon LIVE in Eindhoven, reporting live on cutting-edge tech and smarter manufacturing solutions, interviewing experts and exploring innovation in digital workflows, sustainability, and precision engineering. Watch the livestream on demand here!
Researchers at Stanford Engineering have developed an AI-trained model to accurately recreate the hand movements of elite-level pianists and the physical stresses they endure while playing.
4 minutes read
According to , the global AI robotics market will reach $17 billion in 2024 and will keep growing by 24% annually. Today, robots deliver packages, conduct geological surveys, and entertain visitors of parks and exhibitions – however, that’s not the limit of their abilities.
5 minutes read
In the final chapter of the Edge AI Technology Report: Generative AI Edition explores the technical hurdles organizations face as they attempt to leverage edge-based generative AI. It also examines strategic opportunities for innovation in hardware, deployment configurations, and security measures.
Struggling with safety compliance and quality control in manufacturing? Discover how Matroid’s no-code computer vision platform is transforming the industry with real-time defect detection, PPE monitoring, and predictive maintenance.
Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking.
4 minutes read
webinar | JAN 15, 2025
Join us for The Rise of Generative AI at the Edge: From Data Centers to Devices webinar on Wednesday, January 15th
A team of Caltech researchers has developed an analogous algorithm for autonomous robots—a planning and decision-making control system that helps freely moving robots determine the best movements to make as they navigate the real world.
4 minutes read
