Synthetic Telepathy

The Blue Print of The Human Brain Henry Markram The Human Brain Projekt

CNN presents: Human v2.0 There is a moment in the near future that scientist believe will transform the notion on WHAT it is to be HUMAN

Obama BioEthics The Presidential Commission part 1.wmv

Anders Sandberg at Singularity Summit 2009 — Technical Roadmap for Whole Brain Emulation

Anders Sandberg at Singularity Summit 2009 — Technical Roadmap for Whole Brain Emulation from Singularity Institute on Vimeo.

IBM – The Race to Reverse Engineer the Human Brain

In an unprecedented undertaking, IBM Research and five leading universities are partnering to create computing systems that are expected to simulate and emulate the brains abilities for sensation, perception, action, interaction and cognition while rivaling its low power consumption and compact size.

Science has come a long way in understanding the bodys central nervous system, but the way our brains work – the fact that we recognize patterns and base our thoughts and ideas on past experiences, for example – remains largely a mystery. Understanding the process behind these effortless feats of the human brain and creating a computational theory based on it is one of the biggest and most fundamental challenges for computer scientists today, and IBM researchers are one step closer to making this quest a reality.

IBM supercomputing the brain’s secrets

Henry Markram says the mysteries of the mind can be solved — soon. Mental illness, memory, perception: they’re made of neurons and electric signals, and he plans to find them with a supercomputer that models all the brain’s 100,000,000,000,000 synapses.

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the “Sixth Sense” wearable tech, and “Lost” producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts

How technology’s accelerating power will transform us

Inventor, entrepreneur and visionary Ray Kurzweil explains in abundant, grounded detail why, by the 2020s, we will have reverse-engineered the human brain and nanobots will be operating your consciousness.

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers are invited to give the talk of their lives in 18 minutes — including speakers such as Jill Bolte Taylor, Sir Ken Robinson, Hans Rosling, Al Gore and Arthur Benjamin. TED stands for Technology, Entertainment, and Design, and TEDTalks cover these topics as well as science, business, politics and the arts

Next generation of global networks

In the 1980′s, new learning algorithms for neural networks promised to solve difficult classification tasks, like speech or object recognition,by learning many layers of non-linear features. The results were disappointing for two reasons: There was never enough labeled data to learn millions of complicated features and the learning was much too slow in deep neural networks with many layers of features.

These problems cannow be overcome by learning one layer of features at a time and by changing the goal of learning. Instead of trying to predict the labels, the learning algorithm tries to create a generative model that produces data which looks just like the unlabeled training data.

These new neuralnetworks outperform other machine learning methods when labeled data is scarce but unlabeled data is plentiful. An application to very fast document retrieval will be described.

The Cognitive and Computational Neuroscience of Categorization

The computational models to be described have been evaluated through a variety of empirical methodoligies including human functional brain imaging, studies of patients with localized brain damage due to injury or early-stage neurodegenerative diseases, behavioral genetic studies of naturally-occuring individual variability, as well as comparative lesion and genetic studies with rodents. Our applications of these models to engineering and computer science including automated anomaly detection systems for mechanical fault diagnosis on US Navy helicopters and submarines as well more recent contributions to the DoD’s DARPA program for Biologically Inspired Cognitive Architectures (BICA).

Googling the Brain on a Chip (Kwabena Boahen, Stanford University)

Kwabena Boahen is using the human brain as the blueprint for designing radically more powerful and energy-efficient computers. In this short demo, Boahen describes how his Brains in Silicon lab at Stanford University has created computer chips with “synapses” and “neurons” — and how these chips might revolutionize computing.