These five robots will draw custom portraits of you.
Five Robots Named Paul
Posted in robotics/AI
Posted in robotics/AI
From digital currency to machine learning, the financial industry is being rocked by exponential technologies. Blockchain, artificial intelligence, big data, robotics, quantum computing, crowdfunding, and computing systems are allowing startups to solve consumer needs in new ways.
The downfall of the world’s largest institutions may not be imminent, but these new technologies are breaking up the previously rock solid foundation of finance, and allowing the fintech world to spring through the cracks. What’s happening now will rewrite the future of finance for years to come. By recognizing this reality and planning for it now, financial professionals can learn to thrive in an increasingly uncertain global economy.
Posted in education, robotics/AI
Recently, I saw an article making big deal that a robot can now write. Ok, it only took us 253 years to enhance it a little. Meet the Automaton from Sweden that could write and was designed to look like a young boy. Made in 1774 and still writes today.
We had Automaton that did this since 1774. 1st one was from Sweden and made in 1775.
See more @ One of three surviving automata from the 18th century built by Jaquet Droz, this is ”The Writer” and is the most famou… The Writer Automaton A 240 year old doll that can write, a clockwork creation by Pierre Jaquet-Droz. Pierre Jaquet-Droz (1721−1790) was a Swiss-born watchmaker of the late eighteenth century. He lived in Paris, London, and… On you will find a DVD named ”The Jaquet-Droz androids”. This documentary tells the story of Pierre Jaquet-Droz a sw… From the bestselling children’s novel ”The Invention of Hugo Cabret” to the Oscar nominated film ”Hugo,” automatons — mechanical marvels from a time gone by… Jaquet Droz The Writer Automaton From 1774 In Action: Inspired Hugo Movie. Automato escrevendo no museu do automato e da caixinha de musica em Sainte-Croix, Suiça… identica ao automato visto no filme Hugo Automaton writing in the… A demonstration of the Maillardet’s Automaton at The Franklin Inst.
Posted in media & arts, robotics/AI
Wonder what Google thinks about this version of a robot playing Chess from 1769. The point is, we really have struggled in AI particularly robotics for over 250 years.
As you can hear I’m not a native speaker. Please execuse grammatical and pronunciation mistakes.
Music:
The human brain is nature’s most powerful processor, so it’s not surprising that developing computers that mimic it has been a long-term goal. Neural networks, the artificial intelligence systems that learn in a very human-like way, are the closest models we have, and now Stanford scientists have developed an organic artificial synapse, inching us closer to making computers more efficient learners.
In an organic brain, neuronal cells send electrical signals to each other to process and store information. Neurons are separated by small gaps called synapses, which allow the cells to pass the signals to each other, and every time that crossing is made, that connection gets stronger, requiring less energy each time after. That strengthening of a connection is how the brain learns, and the fact that processing the information also stores it is what makes the brain such a lean, mean, learning machine.
Neural networks model this on a software level. These AI systems are great for handling huge amounts of data, and like the human brain that inspired them, the more information they’re fed, the better they become at their job. Recognizing and sorting images and sounds are their main area of expertise at the moment, and these systems are driving autonomous cars, beating humanity’s best Go players, creating trippy works of art and even teaching each other. The problem is, these intelligent software systems are still running on traditional computer hardware, meaning they aren’t as energy efficient as they could be.