Lifeboat Foundation

Scientists funded by the NIH BRAIN Initiative hope to diagram all of the circuits in the brain. One group will attempt to identify all of the connections among the retina’s ganglion cells (red), which transmit visual information from bipolar cells (green) and photoreceptors (purple) to the brain. (credit: Josh Morgan, Ph. D. and Rachel Wong, Ph. D./University of Washington)

The National Institutes of Health and the Kavli Foundation separately announced today (Oct. 1, 2015) commitments totaling $185 million in new funds supporting the BRAIN Initiative — research aimed at deepening our understanding of the brain and brain-related disorders, such as traumatic brain injuries (TBI), Alzheimer’s disease, and Parkinson’s disease.

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A propensity to worry indicates a strong ability to consider the past and future in precise detail, perhaps explaining why worriers also tend to be more intelligent.

While worriers have often been considered a liability to groups of professionals and friends alike, due to their apparent lack of confidence, they may be better at learning from past mistakes than others, and preparing for future threats.

Researchers have recently found that worriers are better at telling when others are lying and are quicker at detecting threats, such as smoke in the room caused by a fire elsewhere. Now, a survey of one hundred students at MacEwan University has shown that worrying goes hand in hand with having a higher intelligence.

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Following Moore’s law is getting harder and harder, especially as existing components reach their physical size limitations. Parts like silicon transistor contacts — the “valves” within a transistor that allow electrons to flow — simply can’t be shrunken any further. However, IBM announced a major engineering achievement on Thursday that could revolutionize how computers operate: they’ve figured out how to swap out the silicon transistor contacts for smaller, more efficient, carbon nanotubes.

The problem engineers are facing is that the smaller silicon transistor contacts get, the higher their electrical resistance becomes. There comes a point where the components simply get too small to conduct electrons efficiently. Silicon has reached that point. But that’s where the carbon nanotubes come in. These structures measure less than 10 nanometers in diameter — that’s less than half the size of today’s smallest silicon transistor contact. IBM actually had to devise a new means of attaching these tiny components. Known as an “end-bonded contact scheme” the 10 nm electrical leads are chemically bonded to the metal substructure. Replacing these contacts with carbon nanotubes won’t just allow for computers to crunch more data, faster. This breakthrough ensures that they’ll continue to shrink, following Moore’s Law, for several iterations beyond what silicon components are capable of.

“These chip innovations are necessary to meet the emerging demands of cloud computing, Internet of Things and Big Data systems,” Dario Gil, vice president of Science & Technology at IBM Research, said in a statement. “As technology nears the physical limits of silicon, new materials and circuit architectures must be ready to deliver the advanced technologies that will drive the Cognitive Computing era. This breakthrough shows that computer chips made of carbon nanotubes will be able to power systems of the future sooner than the industry expected.” The study will be formally published October 2nd, in the journal Science. This breakthrough follows a number of other recent minimization milestones including transistors that are only 3-atoms thick or constructed from a single atom.

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Once we’re cyborgs, he says, we’ll be funnier, sexier and more loving.

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New research from Brown University details a relatively accessible method for making a working (though not thinking) sphere of central nervous system tissue.

If you need a working miniature brain — say for drug testing, to test neural tissue transplants, or to experiment with how stem cells work — a new paper describes how to build one with what the Brown University authors say is relative ease and low expense. The little balls of brain aren’t performing any cogitation, but they produce electrical signals and form their own neural connections — synapses — making them readily producible testbeds for neuroscience research, the authors said.

“We think of this as a way to have a better in vitro [lab] model that can maybe reduce animal use,” said graduate student Molly Boutin, co-lead author of the new paper in the journal Tissue Engineering: Part C. “A lot of the work that’s done right now is in two-dimensional culture, but this is an alternative that is much more relevant to the in vivo [living] scenario.”

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While scientists have had success in the past printing structures like “bionic ears,” a clear path to making functional internal organs and tissue hasn’t really emerged. However, researchers at the University of Florida in Gainesville have developed a way of printing complex objects in gel, a method that could help pave the way to 3D-printed organs in the future.

The hard thing about printing intricate organic structures like blood vessels and complicated organs is that they collapse under their own weight before they solidify. The gel here, which is made of an acrylic acid polymer, acts as a scaffold to hold the structure in place during the printing process. That approach has already allowed the team to print with organic materials — and even make a replica of a human brain.

Continue reading “3D printing in gel shows how scientists could print human organs” »

Researchers are testing a prosthesis that translates short-term memories into longer-term ones, with the potential to bypass damaged portions of the brain.

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Because language is only part of human communication, IBM is using machine learning to teach robots social skills like gestures, eye movements, and voice intonations.

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University of Washington graduate student Jose Ceballos wears an electroencephalography (EEG) cap that records brain activity and sends a response to a second participant over the Internet (credit: University of Washington)

The first brain-to-brain telepathy-like communication between two participants via the Internet has been performed by University of Washington researchers.

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