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The student article explains an artificial intelligence-based system to detect human body patterns and movements for multiple targets in real-time to recognize their behaviors and classify them as either normal or abnormal.
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The student article explains an artificial intelligence-based system to detect human body patterns and movements for multiple targets in real-time to recognize their behaviors and classify them as either normal or abnormal.
Featured
New research from Carnegie Mellon University’s Bin He introduces a novel, AI-based dynamic brain imaging technology alternative which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost.
Featuredpodcast
In this episode, we talk about how researchers are developing tools to better understand how different microbial communities impact our health in an effort to reverse engineer them and the critical methodology used to 3D print functional heart ventricles.
Engineers Wiki. Most Asked Questions.
Comprehensive Guide
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ORGANIZATIONS. SHAPING THE INDUSTRY.
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TAGGED WITH machine learning
From leading experts at the CDFAM Computational Design Symposium
eCozy 2.0 system addresses the limitations of traditional thermostats for water heating radiators, delivering efficiency, convenience and sustainability benefits to households
Protect the cloud by securing the edge with hardware-based security, TPMs, HSMs, and resilient edge computing architectures.
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.
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
The student article explains an artificial intelligence-based system to detect human body patterns and movements for multiple targets in real-time to recognize their behaviors and classify them as either normal or abnormal.
New research from Carnegie Mellon University’s Bin He introduces a novel, AI-based dynamic brain imaging technology alternative which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost.
3 minutes read
In this episode, we talk about how researchers are developing tools to better understand how different microbial communities impact our health in an effort to reverse engineer them and the critical methodology used to 3D print functional heart ventricles.
Startups are pioneering a new era of drug discovery that’s cheaper, faster, and more accurate.
This video shows how the ML-trained MEMS-IMU performs in the INS mechanization compared to the same MEMS IMU but without using the ML
This student article proposes rapid protocols for clinical diagnosis of COVID-19 through the automatic analysis of hematological parameters using Evolutionary Computing and Machine Learning. These hematological parameters are obtained from blood tests common in clinical practice.
The current advancement in multi-material additive manufacturing technologies has provided unique opportunities to create 3D printed structures with not only complex geometries at several length scales, but arbitrary deposition of multiple materials (i.e., soft or hard) in 3D space.
The inner child in many of us feels an overwhelming sense of joy when stumbling across a pile of the fluorescent, rubbery mixture of water, salt, and flour that put goo on the map: play dough. (Even if this happens rarely in adulthood.)
A new type of neural network aced a virtual wine-tasting test and promises a less energy-hungry version of artificial intelligence.
In this episode, we talk about how engineers are tackling the problem of sorting through piles using robotics and a platform that leverages fake data to train robots more efficiently.
Advances in software allow a customized car to perform controlled, autonomous drifting to enhance active safety and to give drivers the skills of professional racers.
MATT overtakes challenges met during the process of testing in-vehicle-infotainment systems using its characteristic adaptability and capabilities to support an effective operation throughout the testing process.
4 minutes read
The inertial navigation system is a basic component of obtaining a continuous navigation solution in various applications. The system suffers from a growing error over time. This article proposes a machine-learning-based adaptive neuro-fuzzy inference system to improve navigation performance.
Columbia Engineers build a robot that learns to understand itself, rather than the world around it
The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.
3 minutes read
