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Results 21 - 25 of 25 for Electronic power drives

Is AI the Future of Autonomous Agriculture?

Article - 27 Feb 2023

Agriculture equipment manufacturer John Deere recently launched the world’s first production-ready autonomous tractor, supported with artificial intelligence (AI) technology by technology startup...
A Guide to the Cameras Used in Robotics

Article - 18 Dec 2019

Computer vision technology has become more and more essential as the capabilities of modern robotics expand. Autonomous vehicles, order-picking warehouse robots, and drones of all shapes and sizes...
Understanding Robotic Control Systems

Article - 10 Oct 2024

Robotic movements are governed by control systems that process sensor data, employing various methods to ensure accurate and efficient task performance.
DIY Robots

Article - 6 Jan 2014

Robots are electro-mechanical devices directed by electronic circuits and computer programs. When it comes to robots, we often picture a robot developed in human form. But robots can be built in a...
Automated Critical Care Systems for Spinal Cord Injury Sufferers

Article - 22 May 2012

The principle for automated critical care technology for patients with spinal cord injuries is to give back sufferers an element of independence and normality.

Automation in Nutritional Testing: How Technology is Improving Accuracy, Efficiency, and Compliance

Automation in Nutritional Testing: How Technology is Improving Accuracy, Efficiency, and Compliance

AI and robotics in nutritional testing are transforming food safety, allergen detection, and nutrient analysis with faster, automated lab workflows.

Machine Learning in Immunology: From Epitope Prediction to Smarter Vaccine Design

Machine Learning in Immunology: From Epitope Prediction to Smarter Vaccine Design

Explore how machine learning is transforming immunology—from epitope prediction to smarter vaccine design—plus key challenges and future directions.

Machine Learning’s Expanding Role in Environmental Health Research

Machine Learning’s Expanding Role in Environmental Health Research

Explore the role of machine learning in advancing environmental health research, from pollutant source attribution to dynamic health impact modeling.

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