Skip to main content

Home/ Artificial Intelligence Research/ Group items tagged Watch

Rss Feed Group items tagged

mikhail-miguel

Vizcom - Draw & watch your creations come alive quickly! (vizcom.ai). - 0 views

  •  
    Vizcom: Draw & watch your creations come alive quickly! (vizcom.ai).
mikhail-miguel

Eightify - Summaries for YT: 8 key ideas to decide if video is worth watching (eightify... - 0 views

  •  
    Eightify: Summaries for YT: 8 key ideas to decide if video is worth watching (eightify.app).
mikhail-miguel

Eightify - Summaries for YT: 8 key ideas to decide if video is worth watching (eightify... - 0 views

  •  
    Eightify: Summaries for YT: 8 key ideas to decide if video is worth watching (eightify.app).
mikhail-miguel

Camel AGI - Watch Artificial Intelligence role-playing agents collaborate to solve task... - 0 views

  •  
    Camel AGI: Watch Artificial Intelligence role-playing agents collaborate to solve tasks with Camel AGI (camelagi.thesamur.ai).
thinkahol *

Building Gods | Watch Free Documentary Online - 0 views

  •  
    This film by Ken Gumbs tackles the issue of pending greater-than-human artificial intelligence and the possible ramifications. Different individuals with different backgrounds are interviewed on the subject, including a theologian, a philosopher, a brain builder and a cyborg. A wide spectrum of topics are discussed, including trans-humanism, mind-machine mergers, uploading, and artificial super-intelligence.
thinkahol *

I, algorithm: A new dawn for artificial intelligence - tech - 31 January 2011 - New Sci... - 0 views

  •  
    Artificial intelligence has finally become trustworthy enough to watch over everything from nuclear bombs to premature babies
thinkahol *

Future Intelligence | Watch Free Documentary Online - 0 views

  •  
    Catch a first-time glimpse at smart technology that will put android helpers in the home, network commuters and entire cities to the Web, and bring us entertainment systems that can virtually make dreams come true. Advances in artificial intelligence are creating machines with near human-like mental agility. Intelligence will be embedded everywhere - even in our clothing, thanks to smaller, more powerful computers. Soon, we will be able to build computers with artificial intelligence and processing power that rivals the human brain. Intelligence will be everywhere, in our clothing, our vehicles and homes. Intelligent robots will serve us - until they don't feel like doing so anymore. And what happens then…?
thinkahol *

YouTube - Jeff Hawkins on Artificial Intelligence - Part 1/5 - 0 views

  •  
    June 23, 2008 - The founder of Palm, Jeff Hawkins, solves the mystery of Artificial Intelligence and presents his theory at the RSA Conference 2008. He gives a brief tutorial on the neocortex and then explains how the brain stores memory and then describes how to use that knowledge to create artificial intelligence. This lecture is insightful and his theory will revolutionize computer science.
thinkahol *

YouTube - Dr. Antonio Damasio on Self Comes to Mind - 0 views

  •  
    "What Inspired You to Write Self Comes to Mind?"
Matvey Ezhov

Is this a unified theory of the brain? (Bayesian theory in New Scientist) - 1 views

  • Neuroscientist Karl Friston and his colleagues have proposed a mathematical law that some are claiming is the nearest thing yet to a grand unified theory of the brain. From this single law, Friston’s group claims to be able to explain almost everything about our grey matter.
  • Friston’s ideas build on an existing theory known as the “Bayesian brain”, which conceptualises the brain as a probability machine that constantly makes predictions about the world and then updates them based on what it senses.
  • A crucial element of the approach is that the probabilities are based on experience, but they change when relevant new information, such as visual information about the object’s location, becomes available. “The brain is an inferential agent, optimising its models of what’s going on at this moment and in the future,” says Friston. In other words, the brain runs on Bayesian probability.
  • ...6 more annotations...
  • “In short, everything that can change in the brain will change to suppress prediction errors, from the firing of neurons to the wiring between them, and from the movements of our eyes to the choices we make in daily life,” he says.
  • Friston created a computer simulation of the cortex with layers of “neurons” passing signals back and forth. Signals going from higher to lower levels represent the brain’s internal predictions, while signals going the other way represent sensory input. As new information comes in, the higher neurons adjust their predictions according to Bayesian theory.
  • Volunteers watched two sets of moving dots, which sometimes moved in synchrony and at others more randomly, to change the predictability of the stimulus. The patterns of brain activity matched Friston’s model of the visual cortex reasonably well.
  • Friston’s results have earned praise for bringing together so many disparate strands of neuroscience. “It is quite certainly the most advanced conceptual framework regarding an application of these ideas to brain function in general,” says Wennekers. Marsel Mesulam, a cognitive neurologist from Northwestern University in Chicago, adds: “Friston’s work is pivotal. It resonates entirely with the sort of model that I would like to see emerge.”
  • “The final equation you write on a T-shirt will be quite simple,” Friston predicts.
  • There’s work still to be done, but for now Friston’s is the most promising approach we’ve got. “It will take time to spin off all of the consequences of the theory – but I take that property as a sure sign that this is a very important theory,” says Dehaene. “Most other models, including mine, are just models of one small aspect of the brain, very limited in their scope. This one falls much closer to a grand theory.”
thinkahol *

Jeff Hawkins on Artificial Intelligence - Part 1/5 - YouTube - 0 views

  •  
    The founder of Palm, Jeff Hawkins, solves the mystery of Artificial Intelligence and presents his theory at the RSA Conference 2008. He gives a brief tutorial on the neocortex and then explains how the brain stores memory and then describes how to use that knowledge to create artificial intelligence. This lecture is insightful and his theory will revolutionize computer science.
1 - 20 of 27 Next ›
Showing 20 items per page