Month: September 2022

BETTER THAN HUMAN. "Recently, some impressive feats have been achieved with deep neural networks, including object classification that exceeds human performance, and of course the much-discussed victory of the computer program AlphaGo over human Go champion Lee Sedol. Some amazing projects such as the neural artistic style transfer and and deep networks that learn to synthesize new images have also surfaced." https://pointersgonewild.com/ View in LinkedIn

LITMUS TEST. "I’ve been working on writing novels computationally for well over 10 years now and I’m still trying it, although I believe that within the next two to three years I will have broken its back and will produce 100,000-word novels in half an hour or so, novels that I think most people would consider to be creative." https://www.theguardian.com/technology/2015/oct/10/can-robots-be-creative View in LinkedIn

TASTE IS HARD. "Creativity is arguably the most difficult human faculty to automate: robots are unlikely to be fully creative any time soon. It is certainly possible to design an algorithm that can churn out an endless sequence of paintings, but it is difficult to teach such an algorithm the difference between the emotionally powerful and the dreck.” https://www.theguardian.com/technology/2015/oct/10/can-robots-be-creative View in LinkedIn

GOOGLE. "A self-learning computer with a neural network simulation system. In an experiment, this supercomputer was given free access to the Internet and the ability to examine the contents of the network. There were no restrictions or guidelines, the powerful super intelligence was simply allowed to explore the entire human history and experience. And what do you think this supercomputer has chosen out of all this wealth of information? It began browsing though images of kittens." http://www.learning-mind.com/five-creepiest-advances-in-artificial-intelligence/ View in LinkedIn

NAUTILUS ”is another self-learning supercomputer. This unit was fed millions of newspaper articles starting from 1945, by basing its search on two criteria: the nature of the publication and location. Using this wealth of information about past events, the computer was asked to come up with suggestions on what would happen in the “future.” And these turned out to be surprisingly accurate guesses. How accurate? Well, for example, it had located Bin Laden." http://www.learning-mind.com/five-creepiest-advances-in-artificial-intelligence/ View in LinkedIn

UNFAIR ADVANTAGE. "Japanese researchers introduced a robot that can play rocks-paper-scissors against humans and wins 100 percent of the time. And this robot wins by watching. Its perfect track record is the result of a built-in high-speed camera and extremely fast reflexes that allow it to read microscopic physical cues—wrist angle, finger movement, head tilt—and (essentially) cheat its way to victory." https://lnkd.in/dZT3Xg7 View in LinkedIn

WORKER BOTS. "The scientists at UC Berkeley hope to move closer to a world where robots are autonomous, nimbly performing many functions typically done by humans. In the future, robots may be able to provide care for the elderly, conduct rescue efforts, clean up in disaster areas and even deliver mail." (2015!) http://www.cnbc.com/2015/12/04/a-baby-step-on-way-to-robots-learning-every-human-thing.html View in LinkedIn

DIFFERENT LEARNING STYLES. "Some hardwired, pre-programmed robots such as BU Munich's fast robot car (1994) and TU Munich's humanoid walking biped perform impressive tasks. But they do not learn like humans do. Unfortunately, traditional reinforcement learning algorithms are limited to simple reactive behavior and do not work well for realistic robots." https://lnkd.in/d8GTmxc View in LinkedIn