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The Mini Vantage robot is described by Transcend Robotics as an obstacle-climbing robot capable of assisting law enforcement during potentially dangerous missions.

Altering various factors — the composition of ammonium sulfate, the thickness of the gel or the strength of the magnetic field for instance — could potentially enable researchers to fine tune the properties of the gel.

Grids of mines and munitions are being installed in Oklahoma to train a drone-based, machine-learning-powered detection system to autonomously locate explosives without risking the lives of human workers manually seeking out these explosives.

A geological model examined factors that affect the energy consumption ratio of in situ upgrading the most, such as heating well design and layout, heating technology and shale composition.

The robots are composed of a ferrofluid featuring magnetic iron oxide nanoparticles suspended in clear oil. According to the researchers, the robots are controlled using magnets.

The IRB 365 has been developed for applications including food and beverage, pharmaceuticals and consumer goods, where production line speed and adaptability are essential.

The device, dubbed SipBit, which was trained via deep learning algorithms, can reportedly identify beverage type, volume and sugar content when submerged in a liquid.

An Israeli startup is harnessing the cooling power of liquid nitrogen to drive its outdoor air-conditioning system.

The effort could reduce the volume of continuous carbon fiber reinforced polymer material sent to landfills in the U.K. by 50%.

Users can quickly and easily change between various solid-carbide milling geometries and types to optimize milling operations while reducing manufacturing costs and tooling inventories.

An online U.S. mapping platform highlights and connects hydrogen suppliers, infrastructure providers, users and community stakeholders.