Uppladdad den 16 aug 2008
Rodolfo Llinas tells the story of how he has developed bundles of nanowires thinner than spider webs that can be inserted into the blood vessels of human brains.
While these wires have so far only been tested in animals, they prove that direct communication with the deep recesses of the brain may not be so far off. To understand just how big of a breakthrough this is—US agents from the National Security Agency quickly showed up at the MIT laboratory when the wires were being developed.
What does this mean for the future? It might be possible to stimulate the senses directly – creating visual perceptions, auditory perceptions, movements, and feelings. Deep brain stimulation could create the ultimate virtual reality. Not to mention, direct communication between man and machine or human brain to human brain could become a real possibility.
Llinas poses compelling questions about the potentials and ethics of his technology.
Futurist Ray Kurzweil details the technology timeline leading up to 2029 including the downsides to Singularity.
Researcher Kwabena Boahen is looking for ways to mimic the brain’s supercomputing powers in silicon — because the messy, redundant processes inside our heads actually make for a small, light, superfast computer.
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.
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).
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.
Whole Brain Emulation is going to create synthetic humans, if the functionalist point of view is right, by implementing their thought processes in forthcoming hardware, and software systems, which could arrive as early as the middle of this century. What are the rights of these uploads? How will their existence impact our economy, and the society as a whole? Anders Sandberg of the Future Of Humanity Institute of the University of Oxford talks about these issues, which are also going to be the subject of his talk at the Singularity Summit 09 in New York.
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
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
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.