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Despite these challenges, the potential for IBL is clear. As more and more companies seek safe, explainable, and auditable AI, black-box neural networks will no longer cut it.
In neural networking or heuristic algorithms (computer terms generally used to describe "learning" computers or "AI simulations"), a black box is used to describe the constantly changing section of the program environment which cannot easily be tested by the programmers.
Machine learning (ML) algorithms used in AI can be categorized as white-box or black-box. White-box models provide results that are understandable to experts in the domain. Black-box models, on the other hand, are extremely hard to explain and may not be understood even by domain experts.
They often must show that AI source code was likely to be “necessary” for a criminal case, a higher standard than for most subpoenas in search of evidence. “The reason that is so troubling ...
Valar Labs debuts AI-powered cancer care prediction tool and secures $22M. ... The last thing doctors or patients need is a black box. So if it says a patient will respond well, that is supported ...
Flight data from China Eastern jet points to intentional nosedive -WSJaol.com
On the fringes of MWC, the world’s biggest mobile phone show, TechCrunch is getting a demo of a new kind of AI device. The small black box sitting in Mobile OS maker Jolla is back and building ...
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