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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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.
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 proposed a Facial Expression Generation method for Meta-Humans (FExGAN-Meta) that deals with the challenge of robustly classifying and generating images of facial expressions while maintaining subtleness and intensity.
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.)
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.
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
Piction Health, founded by Susan Conover SM ’15, uses machine learning to help physicians identify and manage skin disease.
Metasphere’s ART Sewer wastewater and sewerage spill monitoring solution combines cellular IoT and AI/machine learning (ML) to protect freshwater and marine ecosystems in a way that Metasphere says hasn’t been commercially or technologically viable until now.
4 minutes read
In this episode, we talk about how robotic dogs might be the next best astronauts as they are well-equipped to explore the Moon’s unforgiving terrain, and about a framework for launching swarms of robots into warehouses to get work done better, safer, and more efficiently.
According to research from analyst GWI, while consumers still consider fitness tracking the leading reason for owning a wearable, nearly half of all owners also expect their wearable to monitor their health.
3 minutes read
Researchers have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient at performing machine-learning tasks.
3 minutes read
To be truly useful, drones—that is, autonomous flying vehicles—will need to learn to navigate real-world weather and wind conditions.
4 minutes read
