Vision is the cornerstone of every border surveillance platform. Pushing the boundaries of what we can see—from high ground and binoculars to electro-optics and infrared sensors—is the determining factor of a system’s efficacy.
Vision is the cornerstone of every border surveillance platform. Pushing the boundaries of what we can see—from high ground and binoculars to electro-optics and infrared sensors—is the determining factor of a system’s efficacy.
Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.
Unveiling the Duel of Digital Design - A Comprehensive Exploration of History, Syntax, and Applications of the two popular hardware description languages
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.
Discover how Deep Trekker rigorously tests and evaluates IMU technologies, comparing MEMS and FOG systems to ensure precise underwater navigation for ROVs.
Vision is the cornerstone of every border surveillance platform. Pushing the boundaries of what we can see—from high ground and binoculars to electro-optics and infrared sensors—is the determining factor of a system’s efficacy.
Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.
In this episode, we talk about how TUM researchers are trying to model the effects of climate change on forest fires using a neural network, why robots assisting with getting dressed is more challenging than it seems, how drones are being used to evacuate elderly in nursing homes during emergencies.
Yasuhide “Yasu” Yokoi is the cofounder of design and technology firm Final Aim Inc., which works with laboratories, startups, and multinational companies to transform ideas into tangible solutions.
In this episode, we talk about UMich’s new aircraft wings that mimic birds, MIT research that aims to deploy digital twins at scale, and how NASA is repurposing an old weather satellite to monitor microplastic pollution.
Engineers at EPFL have developed a predictive control model that allows swarms of drones to fly in cluttered environments quickly and safely. It works by enabling individual drones to predict their own behavior and that of their neighbors in the swarm.
In this episode, we talk about Charm Industrial’s novel approach for carbon offsetting, a concept fitness drone from Hongik University that could be the first to commercialize, and a joint effort between MIT and US Navy to understand how sound waves are altered by water conditions in the North Pole.
In this episode, we talk about Ford and HP’s partnership to enable a more sustainable manufacturing process, NASA’s Ingenuity drone, and a joint effort to prevent fall-related deaths by creating snake inspired no slip shoes.
In the new DeeperSense project, an international consortium led by the German Research Center for Artificial Intelligence (DFKI) is working on technologies that combine the strengths of visual and acoustic sensors with the help of artificial intelligence.