Category: Uncategorized

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

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

BOLTED-ON PATCHWORK. Studies of exactly how metabolic pathway evolution may have occurred are very instructive to this patchwork bolted-on view of the biology of living creatures. The following study by Daniel J. Kliebenstein in Arabidopsis plants of the outcomes of gene duplication is highly illustrative case study of these principles. View in LinkedIn

ADDITIVE LEARNING. "The significance of having robots learn is that they can easily share their learning. One robot will not have to learn from scratch like a newborn animal. A new robot can be given the experiences of other robots and can build upon those." https://lnkd.in/dv6mpRG View in LinkedIn

METABOLIC PATHWAYS are highly complex and interconnected. But like all other elements of living things, they were not built from scratch, but evolved by bolting on molecules that had evolved for other purposes, thus creating a patchwork of inefficient and maladapted works in progress, just as the human foot was built by a drunken committee from the foot of tree-living ancestors. View in LinkedIn

COST-EFFECTIVE. "If a robot could learn a task by itself by watching experts, the ability to deploy robots quickly into a task at a low cost becomes more realistic." https://lnkd.in/e3DKPE3 View in LinkedIn

HUMAN-LIKE. "Using a deep learning technique similar to those that have been successfully advancing speech and image recognition, University of California, Berkeley researchers are developing robots that learn motor tasks by trial and error. They say their approach more closely approximates human learning." https://lnkd.in/e6W7yP4 View in LinkedIn

TRIAL-AND-ERROR LEARNING. 'Developed by Pieter Abbeel and his team at UC Berkeley's Robot Learning Lab, the neural network that allows Darwin to learn is not programmed to perform any specific functions, like walking or climbing stairs. The team is using what's called "reinforcement learning" to try and make the robots adapt to situations as a human child would. Like a child's brain, reinforcement technology invokes the trial-and-error process." http://www.cnbc.com/2015/12/04/a-baby-step-on-way-to-robots-learning-every-human-thing.html View in LinkedIn

SILICO SALTATIONS. "Darwin's baby steps speak to what many researchers believe will be the greatest leap in robotics — a kind of general machine learning that allows robots to adapt to new situations rather than respond to narrow programming." http://www.cnbc.com/2015/12/04/a-baby-step-on-way-to-robots-learning-every-human-thing.html View in LinkedIn