Berkeley’s Laura Tyson thinks we shouldn’t worry about technological unemployment, but should fear inequality.
Kai-Fu Lee says the list of countries that will benefit from the AI revolution is exceedingly short — Quartz
The countries that are not in good shape are the countries that have perhaps a large population, but no AI, no technologies, no Google, no Tencent, no Baidu, no Alibaba, no Facebook, no Amazon,” Lee says. “These people will basically be data points to countries whose software is dominant in their country. If a country in Africa uses largely Facebook and Google, they will be providing their data to help Facebook and Google make more money, but their jobs will still be replaced nevertheless.”
Only two countries make the cut. USA and China
So far, such attacks have been demonstrated only in lab experiments, not observed on streets or in homes. But they still need to be taken seriously now, says Bo Li, a postdoctoral researcher at Berkeley
esearch has shown that over 90% of our communication can be non-verbal, but technology has struggled to keep up, and traditional code is generally bad at understanding our intonations and intentions. But emotion recognition – also called Affective Computing – is becoming accessible to more types of developers. This post will walk through the ins-and-outs of determining emotion from data, and a few ways you can get some emotion recognition and running yourself.https://blog.algorithmia.com/introduction-to-emotion-recognition/