Machine-Learning Maestro on the Delusions of Big Data
Big-data boondoggles and brain-inspired chips are just two of the things we’re really getting wrong
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Big-data boondoggles and brain-inspired chips are just two of the things we’re really getting wrong
Five hundred million tweets are broadcast worldwide every day on Twitter. With so many details about personal lives, the social media site is a data trove for scientists looking to find patterns in human behaviors, tease out risk factors for health conditions and track the spread of infectious diseases.
Academic-industry research collaborations have long been a source of controversy in medicine.
EU report urging a copyright law reform to help researchers text-mine research papers.
The sudden appearance of data scientists on the business scene reflects the fact that companies are now wrestling with information that comes in varieties and volumes never encountered before.
There is no doubt that big data is a valuable tool that has already had a critical impact in certain areas. But because of its popularity, we need to be levelheaded about what big data can and can’t do.