Ke Jie said that AlphaGo's performance left him “shocked” and “deeply impressed” in post-match statements, noting that the moves the computer played “would never happen in a human-to-human match.”
On December 7, 2016, Amazon successfully delivered a Prime Air parcel to Cambridge, England. Amazon had built a Prime Air fulfillment center in the Cambridge area.
The program, called COIN, for Contract Intelligence, does the mind-numbing job of interpreting commercial-loan agreements that, until the project went online in June, consumed 360,000 hours of work each year by lawyers and loan officers. The software reviews documents in seconds, is less error-prone and never asks for vacation.
An artificial intelligence machine found 95% of melanomas in study compared to 86.6% for dermatologists.
Researchers at Facebook found two bots developed in the social network's AI division had been communicating with each other in an unexpected way.
Google’s researchers think their system achieves this breakthrough by finding a common ground whereby sentences with the same meaning are represented in similar ways regardless of language – which they say is an example of an “interlingua”. In a sense, that means it has created a new common language, albeit one that’s specific to the task of translation and not readable or usable for humans.
The Turing test, developed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses.”
"We show that faces contain much more information about sexual orientation than can be perceived and interpreted by the human brain. We used deep neural networks to extract features from 35,326 facial images. These features were entered into a logistic regression aimed at classifying sexual orientation. Given a single facial image, a classifier could correctly distinguish between gay and heterosexual men in 81% of cases, and in 74% of cases for women. Human judges achieved much lower accuracy: 61% for men and 54% for women. The accuracy of the algorithm increased to 91% and 83%, respectively, given five facial images per person."
Computers can play better Go, fly faster and safer, analyse legal documents faster and better but fail surprisingly in an easy task of classification.
Evolution has passed millions of years of training on certain tasks such as object recognition. As a consequence we are very good at them and machines cannot outperform us. Whereas for tasks where we need arduous training ourselves, machine can easily outperform us through faster training.
1946: "Television won't be able to hold on to any market it captures after the first six months. People will soon get tired of staring at a plywood box every night." — Darryl Zanuck, 20th Century Fox.
1955: "Nuclear powered vacuum cleaners will probably be a reality within 10 years." — Alex Lewyt, President of the Lewyt Vacuum Cleaner Company.
1959: "Before man reaches the moon, your mail will be delivered within hours from New York to Australia by guided missiles. We stand on the threshold of rocket mail." — Arthur Summerfield, U.S. Postmaster General.
1966: "Remote shopping, while entirely feasible, will flop.” — Time Magazine.
1981: “Cellular phones will absolutely not replace local wire systems.” — Marty Cooper, inventor.
1995: "I predict the Internet will soon go spectacularly supernova and in 1996 catastrophically collapse." — Robert Metcalfe, founder of 3Com.
2005: "There's just not that many videos I want to watch." — Steve Chen, CTO and co-founder of YouTube expressing concerns about his company’s long term viability.
While we could image teleportation in Star Trek we could not imagine that happening without human interaction.
Automation is nothing new, and neither are the warnings on employment impact. Secretary of Labor James Davis in the 1920ies or Nobel Price laureate Wassily Leontief in the 1980ies are just two historical examples of people warning of mass unemployment due to automation. While many inventions were successfully designed to replace inconsistent human labor work with machine perfection, data does not show an increased unemployment rate.
O-Ring theory is applicable to production chains that:
1. production depends on a series of tasks
2. failing of any task reduces the value of the entire product, often to zero
3. cannot substitute quantity for quality
As technology improves and takes over more tasks with machine perfection, it increases the importance of our expertise, our judgment, and our creativity for the improvement of the remaining tasks, which gets more difficult with every iteration.
Human Greed - has the useful manifestation of the restless invention of new products and services. Tamagotchi and cat yoga are just two examples of such products. Without arguing the necessity of these products, they created jobs.
Due to O-Ring and human greed we will most probably still have more jobs but not necessarily the same jobs. The transition might be very painful for certain jobs. Some jobs might be unnecessary other might change a lot.
Everywhere we look, skillsets will need to be radically altered to keep pace with the changes taking place in the world of work. If businesses are to keep up with the disruption brought on by the Fourth Industrial Revolution, they will need to help their staff learn new skills.