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For this application we don't need AI.
A good fixed features algorithm will do the job correctly.
It looks like Vidia is following trend introduced by Microsoft of replacing good programming practice with self-learning. It doesn't work, users are suffering.
Please keep on topic, dude. Post reported:wtf:
I dont think there is any other response that could be made for sajunky's post
Please keep on topic, dude. Post reported
For this application we don't need AI.
A good fixed features algorithm will do the job correctly.
It looks like Vidia is following trend introduced by Microsoft of replacing good programming practice with self-learning. It doesn't work, users are suffering.
I may have ZERO idea, but you bring ZERO to support what you are saying. Your posts are solely in purpose of fighting.Ok let me keep on topic.
You clearly have ZERO idea of how AI and Big Data actually work if you think things like fixed features algorithms are a good fit for the use case being presented by Nvidia for their AI. This is not really a surprise to be honest though.
But healthcare’s big data challenge may soon meet its match. Artificial Intelligence – the technology that mimics the human brain – has proven that it has the potential to see the unseen, answer questions that had never even been asked, and consume information previously impossible for clinicians to digest.
Among the devices to first be embedded with the latest AI technology is GE Healthcare’s new CT system in the Revolution Family. The Revolution Frontier CT is two times faster in imaging processing than its predecessor, due to its use of NVIDIA’s AI computing platform. It also is expected to deliver better clinical outcomes in liver lesion detection and kidney lesion characterization because of its speed – potentially reducing the need for unnecessary follow-ups, benefitting patients with compromised renal function, and reducing non-interpretable scans with Gemstone Spectral Imaging Metal Artefact Reduction.