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Category: singularity – Page 72

Transhuman Terminology.

ADHOCRACY
AEONOMICS
A-LIFE
AGORIC SYSTEM

AI-COMPLETE ALEPH ALGERNON AMORTALIST ARACHNIOGRAPHY ARCH-ANARCHY ARCOLOGY ARROW IMPOSSIBILITY THEOREM ARTILECT ASEX ASIMORT ASIMOV ASSEMBLER ATHANASIA ATHANOPHY ATHEOSIS AUGMENT AUTOEVOLUTIONIST AUTOMATED ENGINEERING AUTOMORPHISM AUTOPOTENT AUTOSCIENT BABY UNIVERSE BASEMENT UNIVERSE BEAN DIP CATASTROPHE BEANSTALK BEKENSTEIN BOUND BERSERKER BETELGEUSE-BRAIN BIG CRUNCH BINERATOR BIOCHAUVINISM BIOLOGICAL FUNDAMENTALISM BIONICS BIONOMICS BIOPHILIAC BIOSTASIS B-LIFE BLIGHT BLIND UPLOADING BLUE GOO BOGOSITY FILTER BORGANISM BREAKEVEN POINT BROADCATCHING BRUTE FORCE UPLOADING BUSH ROBOT CALCUTTA SYNDROME CALM TECHNOLOGY CALORIE RESTRICTION CASIMIR EFFECT CEREBROSTHESIS CHINESE ROOM CHRONONAUTS CHURCH-TURING THESIS COBOTS COMPUFORM COMPUTRONIUM CONCENTRATED INTELLIGENCE CONSILIENCE CONNECTIONISM CONTELLIGENCE CONTINUITY IDENTITY THEORY COSMYTHOLOGY CRYOBIOLOGY CRYOCRASTINATE CRYOGENICS CRYONICS CRYONIC SUSPENSION CRYPTO ANARCHY CRYPTOCOSMOLOGY CYBERCIDE CYBERFICTION CYBERGNOSTICISM CYBERIAN CYBERNATE/CYBERNIZE CYBERSPACE/CYBERMATRIX CYBRARIAN CYPHERPUNK DEANIMALIZE DEATH FORWARD DEATHISM DEEP ANARCHY DEFLESH DIGITAL PSEUDONYM DIAMONDOID DISASSEMBLER DISASTERBATION DISTRIBUTED INTELLIGENCE DIVERGENT TRACK HYPOTHESIS DIVERSITY IQ DIVIDUALS DOOMSDAY ARGUMENT DOWNLOAD DRYWARE DUBIFIER DYSON SPHERE ECOCALYPSE ECTOGENESIS

EMBRYOMEME
EMULATION
ENHANCED REALITY
ENVIROCAPITALISM
EPHEMERALISTS
E-PRIME
ESCALATORLOGY
THE ETERNAL LIFE POSTULATE
EUPSYCHIA
EUTHENICS
EVOLUTIONARILY STABLE STRATEGY (ESS)
EVOLUTURE
EXCONOMICS
EXES
EXFORMATION
EXISTENTIAL TECHNOLOGY
EXOPHOBIA
EXOSELF
EXTROPIAN
EXTROPIATE
EXTROPIC
EXTROPOLIS
EXTROPY
FACULTATIVE ANAGOROBE
FAR EDGE PARTY
THE FERMI PARADOX
FEMTOTECHNOLOGY
FLATLANDER
FLUIDENTITY
FOGLET
FORK
FREDKIN’S PARADOX
FUNCTIONAL SOUP
FUTIQUE
FUTURE SHOCK
GALAXY BRAIN
GAUSSIAN
GENEGENEERING
GENETIC ALGORITHM
GENIE
GREEN GOO
GÖDEL’S THEOREM
GOLDEN GOO
GREAT FILTER, THE
GREY GOO
GUY FAWKES SCENARIO
HALLUCINOMEMIC
HIVE COMPUTING
HOMORPH
HPLD
HYPERTEXT
HYPONEIRIA
HYPOTECH

IDEAL IDENTITY
IMMORTALIST
IMMORTECHNICS
IMP
INACTIVATE
INFOGLUT
INFOMORPH
INFORMATION-THEORETICAL DEATH
INLINE UNIVERSITIES
INTERFACER
INTERNALNET
JUPITER-BRAIN
KHAKI GOO
KARDASCHEV TYPES
KNOWBOTS
KOLMOGOROV COMPELXITY
LEONARDO DA VINCI SYNDROME
LINDE SCENARIO
LIQUIDENTITY
LOFSTROM LOOP
LONGEVIST
MASPAR
MATAGLAP
MEGATECHNOLOGY (or MEGASCALE ENGINEERING)
MEMETICS
MEMIE
MEMIUS
MEMOTYPE
MEMOID (or MEMEOID)
MEHUM
MERCHANCY
MESOSCALE
MINDKIND
MOLMAC
MORPHOLOGICAL FREEDOM
MUTUAL REALITY
NANARCHIST
NANARCHY
NANITE
NANOCHONDRIA
NANOFACTURE
NANOMEDICINE
NANOSOME
NANOTECH
(MOLECULAR) NANOTECHNOLOGY
NEG
NEOMORPH
NEOLOGOMANIA
NEOPHILE
NEOPHILIA
NEOPHOBE
NEUROCOMPUTATION
NEURONAUT
NEURON STAR
NEUROPROSTHESIS
NEUROSUSPENSION
NOOTROPIC
NOW SHOCK
NUTRACEUTICAL
OFFLOADING
OMEGA POINT
OMEGON
OMNESCIENCE
O’NEILL COLONY
O’NEILL CYLINDERS
ONTOLOGICAL CONSERVATIVES
OPTIMAL PERSONA
PANCRITICAL RATIONALISM
ORBITAL TOWER
PARTIALATE
PATTERN IDENTITY THEORY
PERICOMPUTER
PERIMELASMA
PERSOGATE
PERVERSION ATTACK
PHARMING
PHYLE
PHYSICAL ESCHATOLOGY
PICO TECHNOLOGY
PIDGIN BRAIN
PINK GOO
PLEXURE
POME
POSTHUMAN
POSTJUDICE
POWERSHIFT
PRISONERS’ DILEMMA
PRIVACY MANAGEMENT
PROLONGEVITY
QUANTUM COMPUTING
QUANTUM CRYPTOGRAPHY
QUASISPECIES
RAPTURE OF THE FUTURE
RED GOO
RED QUEEN PRINCIPLE
RED QUEENED
REMEMBRANCE AGENT
REVERSIBLE
RIF
SANS CEILING HYPOTHESIS
SANTA MACHINE
SAPPER MEME
SCHEME
SENTIENCE QUOTIENT
SHIH
SINGULARITY
SINGULARITARIAN
SKY HOOK
SMART-FACED
SOCIOTYPE
SOLID STATE CIVILIZATION
SPIKE, THE
SPOCK MEME
SPONTANEOUS VOLUNTARISM
SPACE FOUNTAIN
STAR LIFTING
STELLAR HUSBANDRY
STEWARD
STRONG AI POSTULATE
STRONG CONVERGENCE HYPOTHESIS
SUSPENDED ANIMATION
SYNTHESPIAN
TAZ/Temporary Autonomous Zone.
TECHNOCYTE
TECHNOSPHERE
TECHNOCALYPS
TELEOLOGICAL THREAD
THEORETICAL APPLIED SCIENCE
TITHONUS SYNDROME
TIPLER CYLINDER
TIPLERITE
TRANSBIOMORPHOSIS (TRANSBIOLOGICAL METAMORPHOSIS)
TRANSCEND
TRANSCENSION
TRANSCIENT
TRANSCLUSION
TRANSHUMANISM
TRANSHUMANITIES
TRAPDOOR FUNCTION
TURING MACHINE
TURING TEST
ÜBERGOO
UBIQUITOUS COMPUTING
UPLIFT
UPLOADER
UNIVERSAL CONSTRUCTOR
UNIVERSAL IMMORTALISM
UNIVERSAL TURING MACHINE
UTILITY FOG
VACCIME
VASTEN
VENTURISM
VIEWQUAKE
VIRIAN
VIRION
VIRTUAL COMMUNITY
VIRTUAL RIGHTS
VITOLOGY
VIVISYSTEM
VON NEUMANN MACHINE
VON NEUMANN PROBE
WEBORIZE
WETWARE
WORMHOLE
XENOBIOLOGY
XENOEVOLUTURE
XEROPHILIA
XOXER
ZERO KNOWLEDGE PROOF

Continue reading “Transhumanist Terminology” | >

Ray Kurzweil is a celebrity technologist, well known both for his work as an inventor and for his relatively accurate predictions of technological change. Among his predictions is that of an imminent biotech revolution, which may enable people to restore and maintain healthy life for much longer periods of time than those humans have enjoyed historically. In the meantime, Ray says he takes 250 dietary supplements each day, in addition to receiving half a dozen intravenous therapies each week.

“Although my program may seem extreme, it is actually conservative – and optimal (based on my current knowledge). [My doctor] and I have extensively researched each of the several hundred therapies that I use for safety and efficacy. I stay away from ideas that are unproven or appear to be risky (the use of human-growth hormone, for example).” – Ray Kurzweil in The Singularity Is Near (pages 211–212)

Some of Ray’s dietary supplements are nootropics, intended to maintain and improve brain health. He lists them in his book, Transcend (pages 15 and 22). I’ve compared the nootropics he recommends to reviews on Examine.com, an independent and unbiased encyclopedia on supplementation and nutrition that is not affiliated in any way with any supplement company. Below is a table that summarizes what I found, followed by some observations.

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To truly reach a fully connected world/ singularity we have to move tech into more and more bio-computing world. I do believe QC will assist us in getting the fundamental infrastructure we need for singularity.

We already must deal with computers too much rather than too little, and there is already lots of advanced computing done also for example in materials science and nanotechnology, for example molecular dynamics (MD) and Monte Carlo simulations.[2] The molecular biologist’s programs for predicting protein folding can also count as nanotechnology. Nevertheless, all of our previous articles concluded that we need more computing, and several mentioned statistics. This would sound predictable if coming from a statistical physicist with a background in computing, advertising his skills. However, we mean a more efficient computing rather than simply more.

We started the type of computing we do only recently and for reasons not yet mentioned: Given complex nano-micro compounds, materials’ characterization is difficult due to the three-dimensional complexity of the structures. We originally integrated image analysis with simulation in order to derive 3D structure from 2D images (SEM) and projections (TEM).[3,4] The most fruitful result was however the insight into how easy it is to create adaptable software that analyzes images and keeps track of all the data, calculating anything desired such as comparisons with numerical simulations, all in one integrated system.[5,6] Many of the previously discussed issues, for example error reporting, are thereby basically already automatically solved!

Adapting software sounds prohibitively difficult: Who in my lab can modify software? Nowadays everybody! Today, programming is done partially graphically, for example with LabView™, where no programming language appears anymore. We work with Mathematica and therefore with programming code, but we mostly just download parts of code and adapt them playfully until they behave as desired. To whomever such does not count as the ability to program, we cannot program!

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Artificial intelligence (AI) technologies offer great promise for creating new and innovative products, growing the economy, and advancing national priorities in areas such as education, mental and physical health, addressing climate change, and more. Like any transformative technology, however, AI carries risks and presents complex policy challenges along a number of different fronts. The Office of Science and Technology Policy (OSTP) is interested in developing a view of AI across all sectors for the purpose of recommending directions for research and determining challenges and opportunities in this field. The views of the American people, including stakeholders such as consumers, academic and industry researchers, private companies, and charitable foundations, are important to inform an understanding of current and future needs for AI in diverse fields. The purpose of this RFI is to solicit feedback on overarching questions in AI, including AI research and the tools, technologies, and training that are needed to answer these questions.

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Nice that they are trying to ensure this. However, as we integrate more tech into Biocomputing space and our efforts in achieving singularity; you will need some level of a medical/ or bio background.

It’s hard enough for IT security managers to keep with the latest in conventional computing. Cloud Security Alliance and the US government are trying to make sure you don’t need a physics degree, too.

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As we continue to improve cell circuitry, we will see this is going to be more and more important to our tech future. I believe once we have the underlying infrastructure improved with QC that we will see more advancement made in Biocomputing as well as opportunities to adopt on multiple levels including Singularity.

Cells that are electrically active and that also produce light for easy voltage monitoring could lead to new studies of heart arrhythmias and possibly bio-computing.

The human heartbeat is produced by electrical pulses that propagate through cardiac tissue, causing rhythmic muscle contraction. Researchers have previously engineered cells to create an artificial tissue capable of producing coordinated electrical activity, and now a team has added the ability to monitor their electrical state by detecting fluorescent emission. They have also fashioned the cells into “living circuits” that might act as model systems for studying heart behavior.

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Exponential Finance celebrates the incredible opportunity at the intersection of technology and finance. Apply here to join Singularity University, CNBC, and hundreds of the world’s most forward-thinking financial leaders at Exponential Finance in June 2017.

One day in the future, we’ll look back in wonder at how our physical objects used to be singular, disconnected pieces of matter.

We’ll be in awe of the fact that a car used to be just a piece of metal full of gears and belts that we would drive from one place to another, that a refrigerator was a box that kept our food cold — and a phone was a piece of plastic we used to communicate to one other person at a time.

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Great that they didn’t have to use a super computer to do their prescribed, lab controlled experiments. However, to limit QC to a super computer and experimental computations only is a big mistake; I cannot stress this enough. QC is a new digital infrastructure that changes our communications, cyber security, and will eventually (in the years to come) provide consumers/ businesses/ and governments with the performance they will need for AI, Biocomputing, and Singularity.

A group of physicists from the Skobeltsyn Institute of Nuclear Physics, the Lomonosov Moscow State University, has learned to use personal computer for calculations of complex equations of quantum mechanics, usually solved with help of supercomputers. This PC does the job much faster. An article about the results of the work has been published in the journal Computer Physics Communications.

Senior researchers Vladimir Pomerantcev and Olga Rubtsova, working under the guidance of Professor Vladimir Kukulin (SINP MSU) were able to use on an ordinary desktop PC with GPU to solve complicated integral equations of quantum mechanics — previously solved only with the powerful, expensive supercomputers. According to Vladimir Kukulin, personal computer does the job much faster: in 15 minutes it is doing the work requiring normally 2–3 days of the supercomputer time.

The equations in question were formulated in the 60s by the Russian mathematician Ludwig Faddeev. The equations describe the scattering of a few quantum particles, i.e., represent a quantum mechanical analog of the Newtonian theory of the three body systems. As the result, the whole field of quantum mechanics called “physics of few-body systems” appeared soon after this.

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Definitely been seeing great research and success in Biocomputing; why I have been looking more and more in this area of the industry. Bio/ medical technology is our ultimate future state for singularity. It is the key that will help improve the enhancements we need to defeat cancer, aging, intelligence enhance, etc. as we have already seen the early hints already of what it can do for people, machines and data, the environment and resources. However, a word of caution, DNA ownership and security. We will need proper governance and oversight in this space.

undefined © iStock/ Getty Images undefined How much storage do you have around the house? A few terabyte hard drives? What about USB sticks and old SATA drives? Humanity uses a staggering amount of storage, and our needs are only expanding as we build data centers, better cameras, and all sorts of other data-heavy gizmos. It’s a problem scientists from companies like IBM, Intel, and Microsoft are trying to solve, and the solution might be in our DNA.

A recent Spectrum article takes a look at the quest to unlock the storage potential of human DNA. DNA molecules are the building blocks of life, piecing our genetic information into living forms. The theory is that we can convert digital files into biological material by translating it from binary code into genetic code. That’s right: the future of storage could be test tubes.

In April, representatives from IBM, Intel, Microsoft, and Twist Bioscience met with computer scientists and geneticists for a closed door session to discuss the issue. The event was cosponsored by the U.S. Intelligence Advanced Research Projects Activity (IARPA), who reportedly may be interested in helping fund a “DNA hard drive.”

Continue reading “The future of storage may be in DNA” | >

Good write up by Peter on Neil Jacobstein’s perspective on AI. Peter never disappoints in his articles.

Singularity University is part business incubator and part think tank founded by Peter Diamandis and Ray Kurzweil in 2008 in the NASA Research Park in Silicon Valley. Among the topics that have risen in prominence in the curriculum of the University is artificial intelligence.

Neil Jacobstein is a former President of Singularity University, and currently he chairs the Artificial Intelligence and Robotics Track at Singularity University on the NASA Research Park campus in Mountain View California. We recently spoke, and the conversation covered his thoughts on how AI can be used to augment current human capability, strategies technology executives should use to think about AI, the role the government should play in helping mitigate the potential job losses from AI, his perspectives on the dangers of artificial intelligence that have been expressed by major thought leaders, advice on how to train workers to be prepared for the coming wave of AI, and a variety of other topics.

(To listen to an unabridged audio version of this interview, please click this link. This is the sixth interview in my artificial intelligence series. Please visit these links to interviews with Mike Rhodin of IBM Watson, Sebastian Thrun of Udacity, Scott Phoenix of Vicarious, Antoine Blondeau of Sentient Technologies, Greg Brockman of OpenAI, and Oren Etzioni of the Allen Institute for Artificial Intelligence.)

Continue reading “Artificial Intelligence Chair At Singularity University On How AI Will Augment Human Capability” | >