the AI
Artificial intelligence is often portrayed by mainstream media as a “black-box” technology, where we pose a problem, feed a raw set of data into an algorithm system and let it figure out a solution to by itself—and, over time, as the system learns from its own previous experiences, it gets better at problem-solving.
But no one knows what exactly happens between these steps.
However, that doesn’t stop Silicon Valley investors from pouring venture capital into startups that build business upon artificial intelligence and vow to change the world. According to CB Insights data, between 2012 and 2016, venture capital funding in AI startups increased more than eightfold.
As the AI buzz gets louder, worries around the so-called “AI apocalypse” have emerged.
People fear that robots will replace humans in most functions in our society. AI robots are already serving as supermarket cashiers, baristas, stock advisors and even pets. A McKinsey study projects that, by 2030, 800 million human jobs will be replaced by robots.
However, inside the AI academia, scientists are seeing a slightly different picture.
“Machines still have a long way to go to replace humans,” Kyunghyun Cho, a scientist of Facebook AI research and a data science professor at New York University, told Observer in a recent interview.
Cho is a rising star in machine translation, an subfield of computational linguistics that has seen major breakthroughs in recent years thanks to the application of AI. Cho was named on Bloomberg’s list of “people to watch in 2018.” Geoffrey Hinton, a computer science professor at the University of Toronto, who is regarded as “the Godfather of AI,” told Bloomberg that Cho’s work had a huge impact on machine translation.
Machine translation aims to use softwares to translate text or speech from one language to another. Scientists have been working in this field for decades, but major progresses didn’t start taking place until the last five years, when large-scale neural networks began being applied to power the translation process.
The technology is now widely used in everyday internet tools and home devices like Google Translate, Apple’s Siri and Amazon’s Alexa smart speakers.
The post A Scientist’s View on Why the AI Apocalypse Isn’t the End of the World appeared first on Statii News.
source http://news.statii.co.uk/a-scientists-view-on-why-the-ai-apocalypse-isnt-the-end-of-the-world/
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