"Artificial Intelligence" is Vintra's weekly round-up of AI-related articles, blogs, videos, and papers we liked.
... China’s ambitions outstrip its abilities. Technology in place at one train station or crosswalk may be lacking in another city, or even the next block over. Bureaucratic inefficiencies prevent the creation of a nationwide network. // For the Communist Party, that may not matter. Far from hiding their efforts, Chinese authorities regularly state, and overstate, their capabilities. In China, even the perception of surveillance can keep the public in line.
Check our latest Case Study, The Running Man.
As I listened to the speaker celebrate this technical progress, my experience as a historian and occasional practicing statesman gave me pause. What would be the impact on history of self-learning machines—machines that acquired knowledge by processes particular to themselves, and applied that knowledge to ends for which there may be no category of human understanding? Would these machines learn to communicate with one another? How would choices be made among emerging options? Was it possible that human history might go the way of the Incas, faced with a Spanish culture incomprehensible and even awe-inspiring to them? Were we at the edge of a new phase of human history?
Researchers at Unlearn.AI, a startup that designs software tools for clinical research, think that artificial intelligence has a valuable role to play in personalizing diagnosis and treatment. In a paper (“Using deep learning for comprehensive, personalized forecasting of Alzheimer’s Disease progression”) published on the preprint server Arvix.org, they lay out a system that predicts disease progression, in essence projecting the symptoms that individual patients will experience at any point in the future. (A demo was published on Unlearn.AI’s website.)
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