Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 11658

What if a map of the brain could help us decode people’s inner thoughts?

Scientists at the University of California, Berkeley, have taken a step in that direction by building a “semantic atlas” that shows in vivid colors and multiple dimensions how the organizes language. The atlas identifies brain areas that respond to words that have similar meanings.

The findings, to be published April 28, 2016 in the journal Nature, are based on a brain imaging study that recorded neural activity while study volunteers listened to stories from the “Moth Radio Hour.” They show that at least one-third of the brain’s cerebral cortex, including areas dedicated to high-level cognition, is involved in language processing.

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Talk about changing everything that we thought about the brain and learning.

A new study from the University of Toulouse found that intelligence and learning aren’t limited to organisms with brains. By studying the mold Physarum polycephalum they found it can, over time, learn to navigate even irritating environments.

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Supercomputer facing problems?

In the world of High Performance Computing (HPC), supercomputers represent the peak of capability, with performance measured in petaFLOPs (1015 operations per second). They play a key role in climate research, drug research, oil and gas exploration, cryptanalysis, and nuclear weapons development. But after decades of steady improvement, changes are coming as old technologies start to run into fundamental problems.

When you’re talking about supercomputers, a good place to start is the TOP500 list. Published twice a year, it ranks the world’s fastest machines based on their performance on the Linpack benchmark, which solves a dense system of linear equations using double precision (64 bit) arithmetic.

Looking down the list, you soon run into some numbers that boggle the mind. The Tianhe-2 (Milky Way-2), a system deployed at the National Supercomputer Center in Guangzho, China, is the number one system as of November 2015, a position it’s held since 2013. Running Linpack, it clocks in at 33.86 × 1015 floating point operations per second (33.86 PFLOPS).

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Of course bio technology holds the key for better memory.

Newswise — A group of Boise State researchers, led by associate professor of materials science and engineering and associate dean of the College of Innovation and Design Will Hughes, is working toward a better way to store digital information using nucleic acid memory (NAM).

It’s no secret that as a society we generate vast amounts of data each year. So much so that the 30 billion watts of electricity used annually by server farms today is roughly equivalent to the output of 30 nuclear power plants.

And the demand keeps growing. The global flash memory market is predicted to reach $30.2 billion this year, potentially growing to $80.3 billion by 2025. Experts estimate that by 2040, the demand for global memory will exceed the projected supply of silicon (the raw material used to store flash memory). Furthermore, electronic memory is rapidly approaching its fundamental size limits because of the difficulty in storing electrons in small dimensions.

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Quantum mechanics, with its counter-intuitive rules for describing the behavior of tiny particles like photons and atoms, holds great promise for profound advances in the security and speed of how we communicate and compute.

Now an international team of researchers has built a chip that generates multiple frequencies from a robust quantum system that produces time-bin entangled photons. In contrast to other quantum state realizations, entangled photons don’t need bulky equipment to keep them in their quantum state, and they can transmit quantum information across long distances. The new device creates entangled photons that span the traditional telecommunications spectrum, making it appealing for multi-channel quantum communication and more powerful quantum computers.

“The advantages of our chip are that it’s compact and cheap. It’s also unique that it operates on multiple channels,” said Michael Kues, Institut National de la Recherche Scientifique (INRS), University of Quebec, Canada.

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We definitely need precision medicine. If you don’t believe it is worth that; then I have a few widows & widowers who you should speak to; I have parents that you should speak with; I have a list of sisters & brothers that you should speak with; and I have many many friends (including me) that you should speak with about how we miss those we love because things like precision medicine wasn’t available and could have saved their lives.

Precision medicine is the theme for the 10th annual symposium of the Johns Hopkins Institute for Nano Biotechnology, Friday, April 29, 2016 at 9 a.m. in the Owens Auditorium at the School of Medicine. This year’s event is cohosted by Johns Hopkins Individualized Health Initiative (also known as Hopkins in Health) and features several in Health affiliated speakers.

By developing treatments that overcome the limitations of the one-size-fits-all mindset, precision medicine will more effectively prevent and thwart disease. Driven by data provided from sources such as electronic medical records, public health investigations, clinical studies, and from patients themselves through new point-of-care assays, wearable sensors and smartphone apps, precision medicine will become the gold standard of care in the not-so-distant future. Before long, we will be able to treat and also prevent diseases such as diabetes, Alzheimer’s disease, heart disease, and cancer with regimes that are tailor-made for the individual.

Hopkins in Health is a signature initiative of Johns Hopkins University’s $4.5 billion Rising to the Challenge campaign is a collaboration among three institutions: the University, the Johns Hopkins Health System, and the Applied Physics Laboratory. These in Health researchers combine clinical, genetic, lifestyle, and other data sources to create innovative tools intended to improve decision-making in the prevention and treatment of a range of conditions, including cancer, cardiovascular disease, autoimmune disorders, and infectious disease. The goal is to “provide the right care to the right person at the right time.”

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