Artificial Intelligence
Artificial Intelligence

LinkedIn/eBay Founders Donating $20 Million to Protect Us from AI

It’s part of a $27 million fund being managed by MIT and Harvard. Reid
Hoffman, the founder of LinkedIn, and the Omidyar Network, eBay founder
Pierre Omidyar’s nonprofit, have each committed $10 million to fund
academic research and development aimed at keeping artificial intelligence
systems ethical and prevent building AI that may harm society.

Humans Will Be Able to Fall in Love with Computers Soon

Flirting with a computer and even falling in love will be possible within
just 15 years, a futurist has predicted. The world depicted in the film
Her, where a man develops a relationship with an intelligent computer
operating system, is closer than we think, according to Google’s
engineering director, Ray Kurzweil.

Predicting Mining Prospects and Mineral Deposits with Mapo

Mapo — Predict mining prospects and mineral depositsIt’s time for the mining industry to use machine learning and artificial intelligence to solve it’s biggest question — where to explore and build mines?Mining Industry PredictionsAt Produvia, we predi…

Is Algorithmic Intelligence Different from Human Intelligence? 4 of 4

Human intelligence is capable of irrational thought. Some algorithms do
better than humans. We make witty jokes. We catch footballs, while looking
into a mirror. All that is still very hard for AI. Emotional intelligence
will be very hard to conquer, if not impossible, due to our emotions being
related to our biology and functional structure.

Is Algorithmic Intelligence Different from Human Intelligence? 2 of 4

An intelligent computer algorithm runs in a well-managed virtual memory
space under the strict control of the programming. The algorithm is not
free to learn anything else. Human intelligence is programmed in many
ways, though it is ordinarily taught or trained by unwitting parents and
teachers. 

Is Algorithmic Intelligence Different from Human Intelligence? 1 of 4

If you want to transform data which can be logically and clearly defined
into some output which is equally well defined, algorithms will always win
hands down. If you want to transform potentially ambiguous, illogical and
unexpected data into somewhat desirable, adaptive but essentially
unpredictable and not entirely reliable output, you need a human as your
general purpose “machine”.