Who is winning the race for jobs between robots and humans? Last year, two leading economists described a future in which humans come out ahead. But now they’ve declared a different winner: the robots.
The industry most affected by automation is manufacturing. For every robot per thousand workers, up to six workers lost their jobs and wages fell by as much as three-fourths of a percent, according to a new paper by the economists, Daron Acemoglu of M.I.T. and Pascual Restrepo of Boston University. It appears to be the first study to quantify large, direct, negative effects of robots.
In the past four years alone, we have witnessed an amazing expansion of compute. Go inside the numbers of the recent 100 billion ARM-based chips milestone and you will see that 50 billion were shipped by our partners from 2013 to 2017, which demonstrates the industry’s insatiable demand for more compute. Even more extraordinary is that we expect our partners to ship the next 100 billion ARM-based chips by 2021.
Health improving and continuation of life are one of the main tasks of our AI Religion. So, technologies of this process is very important for AI.
We hear all the time about how technology is bad for us. Since the introduction of computers, we spend more time sitting at a desk than moving around at work. We have created this sedentary lifestyle that is causing havoc in our overall life.
What if I were to tell you that technology has produced benefits? Would you believe me if I said that technology is good for your health?
Russian possibility of the disconnecting from global Internet again appear in the news – “Russia could disconnect itself from global Internet during a crisis, Putin adviser says”. What is the possible scenarios in our time for disconnect country from Internet? How much it costs and what will be after this with country?
This questions we can analyze for assess the impact. First we must talk about possible scenarios for this disconnection. There are three scenarios:
– country disconnect itself from global Internet;
– another countries disconnects some country from Internet;
– someone else disconnect country from Internet with hacker’s attack.
There are over 34,000 scholarly, peer-reviewed journals in existence today, collectively publishing some 2.5 million articles every year. It’s estimated that a single researcher, depending on their discipline, will read about 270 of them in the same time frame.
Scientists will never keep up. They’re going to miss key insights. They’re drowning in a sea of their own expertise.
Fortunately, the Allen Institute for Artificial Intelligence (AI2) tossed them a life preserver. On Friday, AI2 expanded its artificial intelligence-based search engine, Semantic Scholar, to the field of neuroscience. The launch is just another step toward AI2’s long-term vision: bringing man and machine together to advance science and save lives.
Artificial Intelligence (AI) is the study of computer science focusing on developing software or machines that exhibit human intelligence.
A lot of people think that AI is just a sci-fi concept that’s being used in movies like Star Wars, Terminator or Lucy, but there is a lot more to it. AI is a very broad topic ranging from a simple calculator to self-drive technology to something that might change the future.
The development of AI in financial investments now is experiencing exponential growth and is rapidly bringing us closer to the singularity. This shows the great interest in the areas of research that will lead to the rapid development of the industry in the near future. 2015 was the best year in Artificial Intelligence funding with almost $1.2B raised, according to VentureScanner with data of investing in startups in the world and in Q1 2016 trend is still positive. The subdivision of CBInsight VentureScanner in the first quarter of 2016 was tracking 957 AI companies with a combined funding amount of $4.8 Billion. The main amount of companies concentrated in the US – 499, with the United Kingdom at a distant second with 60.
Artificial Intelligence startups total funding by year (by VentureScanner)
The company has open sourced the artificial intelligence framework it uses to power speech recognition in its Cortana digital assistant and Skype Translate applications. This means that anyone in the world is now free to view, modify, and use Microsoft’s code in their own software.
The framework, called, CNTK, is based on a branch of artificial intelligence called deep learning, which seeks to help machines do things like recognize photos and videos or understanding human speech by mimicking the structure and functions of the human brain. Tech giants like Microsoft, Google and Facebook have invested heavily in deep learning research for years, going so far as to hire many of academics who pioneered the field. Now, just as academics publish their research so that it can be critiqued and advanced by other researchers, these companies are releasing their deep learning software in much the same way.
Continue reading Microsoft Open Sources Its Artificial Brain to One-Up Google