The system is so complicated that even the engineers who designed it may struggle to isolate the reason for any single action. And you can’t ask it: there is no obvious way to design such a system so that it could always explain why it did what it did.
https://www.technologyreview.com/s/604087/the-dark-secret-at-the-heart-of-ai/
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
We performed evaluation using 76,214 test patients comprising 78 diseases from diverse clinical domains and temporal windows. Our results significantly outperformed those achieved using representations based on raw EHR data and alternative feature learning strategies. Prediction performance for severe diabetes, schizophrenia, and various cancers were among the top performing. These findings indicate that deep learning applied to EHRs can derive patient representations that offer improved clinical predictions, and could provide a machine learning framework for augmenting clinical decision systems.
https://www.nature.com/articles/srep26094
Elon Musk Compares Building Artificial Intelligence To “Summoning The Demon”
https://techcrunch.com/2014/10/26/elon-musk-compares-building-artificial-intelligence-to-summoning-the-demon/
Elon Musk’s new startup Neuralink has the stated ultimate goal of enhancing humans with BCIs to give our brains a leg up in the ongoing arms race between human and artificial intelligence. He hopes that with the ability to connect to our technologies, the human brain could enhance its own capabilities – possibly allowing us to avoid a potential dystopian future where AI has far surpassed natural human capabilities. Such a vision certainly may seem far-off or fanciful, but we shouldn’t dismiss an idea on strangeness alone. After all, self-driving cars were relegated to the realm of science fiction even a decade and a half ago – and now share our roads.
Stanford researchers develop brain-controlled typing for people with paralysis
https://www.youtube.com/watch?
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