Decoding robotic surgery skills
Thursday, 20 June 2019
Researchers from the Keck School of Medicine of USC are looking to technology to help deconstruct expert surgeons’ robotic surgery skills so they can create an objective, standardised way to train the next generation of surgeons. Using a data recorder plugged into a robotic surgery system, the team analysed expert and novice surgeons’ movements during
- Published in Health & life sciences, Robotics
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The first and only seed phenotype analysis system for rapid, reliable andcost-efficient breeding
Sunday, 24 March 2019
Using advanced machine vision technology and customized deep learning algorithms, Seed-X revolutionizes the entire seed breeding and production cycles. Seed-X identifies genetic traits of seeds & crops based on their phenotype features and transforms this big data into a new market standard that is remodeling the entire industry. Bringing together global leading experts in
- Published in Aeroespacial
AMPLEXOR Announces the Development of an Enterprise-Grade, Neural Machine Translation Solution as the Next Phase in its Artificial Intelligence Programme.
Saturday, 31 March 2018
Collaboration with the German Research Center for AI (DFKI) underpins the new Neural Machine Translation (NMT) solution, which will initially target the Medical Device sector. Global digital solutions provider, AMPLEXOR, announced the next phase of its Artificial Intelligence (AI) program – to develop an enterprise-grade, neural machine translation solution. The solution, which will target
- Published in Health & life sciences, Software
Social Media Monitoring: Consline AG Makes a Breakthrough in Automated Relevance Recognition with Artificial Intelligence
Sunday, 23 July 2017
Based on its constantly developed technology and specific methodology, German company Consline AG has made a breakthrough in automated recognition of relevant posts. The basis are Deep Learning techniques of Artificial Intelligence (Naive Bayes, SVM, SGD), which, like the human mind, can improve their performance in distinguishing relevant and irrelevant through exemplary learning. If you
- Published in Software