Speaking to packed house of journalists, scientists and members of The Planetary Society, Bill Nye the Science Guy, along with some very, very smart people, discussed how human beings might survive for long periods of time on Mars.
Minduploading.org is a collection of pages and articles designed to explore the concepts underlying mind uploading. The articles are intended to be a readable introduction to the basic technical and philosophical topics covering mind uploading and substrate-independent minds. The focus is on careful definitions of the common terms and what the implications are if mind uploading becomes possible.
Mind uploading is an ongoing area of active research, bringing together ideas from neuroscience, computer science, engineering, and philosophy. This site refers to a number of participants and researchers who are helping to make mind uploading possible.
Realistically, mind uploading likely lies many decades in the future, but the short-term offers the possibility of advanced neural prostheses that may benefit us.
Human and animal movements generate slight neural signals from their brain cells. These signals obtained using a neural interface are essential for realizing brain-machine interfaces (BMI). Such neural recording systems using wires to connect the implanted device to an external device can cause infections through the opening in the skull. One method of solving this issue is to develop a wireless neural interface that is fully implantable on the brain.
However, the neural interface implanted on the brain surface should be of small size and minimally invasive. Furthermore, it requires the integration of a power source, antenna for wireless communication, and many functional circuits.
Now, a research team at the Department of Electrical and Electronic Information Engineering at Toyohashi University of Technology has developed a wafer-level packaging technique to integrate a silicon large-scale integration (LSI) chip in a very thin film of a thickness 10 µm (Sensors, “Co-design method and wafer-level packaging technique of thin-film flexible antenna and silicon CMOS rectifier chips for wireless-powered neural interface systems”).
Not good. 2 weeks ago I mentioned concerns about the competitor enticing some of Tesla’s engineering talent.
There’s increased competition in the electric car space.
Very interesting discovery about how our brain thinks; our brain isn’t always 100% error proof according to this report from Carnegie Mellon University. Therefore, when researchers are mapping the brain plus mimicking human brain functions; what is the tolerance level for error allowed then?
A study conducted at Carnegie Mellon University investigated the brain’s neural activity during learned behavior and found that the brain makes mistakes because it applies incorrect inner beliefs, or internal models, about how the world works. The research suggests that when the brain makes a mistake, it actually thinks that it is making the correct decision—its neural signals are consistent with its inner beliefs, but not with what is happening in the real world.
“Our brains are constantly trying to predict how the world works. We do this by building internal models through experience and learning when we interact with the world,” said Steven Chase, an assistant professor in the Department of Biomedical Engineering and the Center for the Neural Basis of Cognition. “However, it has not yet been possible to track how these internal models affect instant-by-instant behavioral decisions.”
I shared this same point of view yesterday; and glad to see Princeton shares the same perspective on Quantum and it’s abundant capabilities. Again; Quantum is going to truly change (if not everything) almost everything that we consume, use, and interact with even in raw material enrichment will benefit from Quantum.
Claire White, an assistant professor of civil and environmental engineering and the Andlinger Center for Energy and the Environment, studies ways to make building materials more sustainable. It turns out that cement production creates a lot of carbon dioxide, so much that it accounts for roughly 5 to 8 percent of man-made carbon dioxide emissions globally. White and her team are developing new types of cement using industrial byproducts such as coal fly ash and blast-furnace slag. They make these materials more durable by adding nanoparticles.
REMINDER: DARPA’s Neural Engineering System Design (NESD) Program Proposers Days is tomorrow and Wed. (February 2–3, 2016) at The Westin Gateway Hotel, 801 N. Glebe Road, Arlington, VA 22203. This is part of the Brain Mind Interface development work. Good thing that the research on Graphene came out recently showing that it is a viable substance for BMIs.
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The burgeoning field of nanotechnology promises an indefinite range of capabilities in medicine, optics, communications, and other facets of applied science and engineering. On that front, the U.S. Defense Advanced Research Projects Agency’s (DARPA) Atoms 2 Products program (A2P) is funding 10 companies, universities, and institutions to develop mass-manufacturing techniques and technologies for functional products made up of nanoscale constituents. The project demonstrates a mere slice of the contributions in the mass movement to make nanotechnology a part of our everyday lives.
The following gallery highlights the work of five DARPA-funded projects in the program. The slides describe an atomic calligraphy technique for 2D atomic printing, a manufacturing method for producing high-frequency “Nanolitz” wires, the construction of pop-up sensors for laparoscopy, and a conjunct effort to use micro-robotics to build the assemblers of nanodevices.
Finally, folks are getting the real picture around re-tooling and retraining folks for new jobs in an oncoming AI future. In my posts; I have highlighted the need for governments and businesses to retrain people as well as ensure that their is some level of funding established to assist displaced workers, and especially as we see the maturity of Quantum in the AI space this will definitely be a must.
“If every tool, when ordered, or even of its own accord, could do the work that befits it… then there would be no need either of apprentices for the master workers or of slaves for the lords.” – Aristotle.
Humans have such a love/hate relationship with technology that it’s almost comical. All of our own creation, once we’ve perfected amazing innovations, we often turn on them–when convenient. As the PC became common and marketed toward the masses in the 80s, a new world of automation, both good and bad, was predicted. As mad scientists tucked away in secret, underground labs began creating evil robots in a slew of sci-fi movies that we consumed greedily, along with becoming affectionate toward machines like C-3P0 and R2-D2 just birthed in what would be a continuing pop subculture with a momentum of its own, our imaginations ran wild. Fearmongers cited that automation would make many jobs obsolete; robots would begin doing what was left as an economic apocalypse ensued for the human race.
With a growing number of Earth-like exoplanets discovered in recent years, it is becoming increasingly frustrating that we can’t visit them. After all, our knowledge of the planets in our own solar system would be pretty limited if it weren’t for the space probes we’d sent to explore them.
The problem is that even the nearest stars are a very long way away, and enormous engineering efforts will be required to reach them on timescales that are relevant to us. But with research in areas such as nuclear fusion and nanotechnology advancing rapidly, we may not be as far away from constructing small, fast interstellar space probes as we think.
There’s a lot at stake. If we ever found evidence suggesting that life might exist on a planet orbiting a nearby star, we would most likely need to go there to get definitive proof and learn more about its underlying biochemistry and evolutionary history. This would require transporting sophisticated scientific instruments across interstellar space.
