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Biomedical

Biomedical

Transhumanism is a biomedical goal to fundamentally transform the human condition by developing and making widely available technologies to greatly enhance human intellectual, physical, and psychological capacities.

This is achieved though Cybernetics, Genetic Engineering, Life Extension, Medicine and Stem Cell Treatments.

Computing

Computing

The effect computers have had on the world is unquestionably great, however with their capabilities increasing exponentially we are living in a time where, with the development of quantum computing, their effects on us has barely scratched the surface of what is to come.

Artificial intelligence, Augmented Reality, Holography, Quantum Computing and Virtual Reality are all around the corner.

Energy

Energy

As the planet’s resources are rapidly depleting, perhaps the area of most intense global interest at the moment is finding alternate methods of producing energy and efficiently feeding our populations.

Some of these methods include Artificial Photosynthesis, Biofuels, Fusion Power, Genetically Modified Food, Solar Power, Vertical Farming and Wireless Energy Transfer.

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Leisure

Consumer goods, with the help of emerging technologies, are changing our day to day lives at an increasingly rapid pace. From the internet to mobile phones and 3D printing, the past 30 years has changed the way we live.

The next 30 years includes Holographic Displays, Immersive Gaming, Smart Clothing, Virtual Reality and Wearable Computing.

Military

Military

Although military may not seem the most constructive of tech focuses, it often has the budget to pioneer new technologies which are refined and used commercially later; for example electronic computers, satellite technology or the internet.

Current military interest includes Artificial Intelligence, Drones, Hypersonic Aircraft, Particle Beam Weapons & Stealth Technology.

Nanotechnology

Nanotechnology

One of the most exciting progressions of the 21st century so far is our ability to create on a nano scale – allowing us to produce new materials that have never been seen before, and build machines so small that they can even carry out tasks within our blood stream.

Nanotechnology has created new fields of interest within Biotechnology, Computing, Energy and Medicine.

Physics

Physics

Although some people may find physics to be the dull cousin of technology, it is only through the understanding of physics that many of our technologies and understandings of the universe are possible – it is the language to describe and therefore can create our reality, and is incredibly exciting for people who take the time to understand it, as it is the key which can open new doors for our future.

Robotics

Robotics

A very tangible physical embodiment of technology for humans is robotics; we can relate and interact physically with robots and in the future develop relationships with them.

Also as artificial intelligence evolves alongside human intelligence, there will be a time where this technology will increasingly find the need to embody itself in the physical world through robotics.

Space

Space

The final frontier.

The exploration of space holds endless possible discoveries – however one which we may be on the brink of observing which will change the world and the way we think about ourselves as human beings, is the discovery of life on other planets (or moons, such as Jupiter’s Europa or Saturn’s Enceladus, as it may turn out.)

Transport

Transport

Driverless Cars, Jetpacks, Magnetic Levitation, Space Elevators, Fusion Rockets and Teleportation – all areas of intense interest and each offering huge potential for the development of civilisation.

Transport is a practical constraint which touches people daily, which is why future developments could change our lives and the world’s economies on the whole.

Predictions

Predictions

Technology futurists make extrapolations on scientific progress – for example it is predicted that quantum computing will become commercially viable around 2020, based on current advances in technology and projected milestones. This is turn will facilitate breakthroughs in medicine by enabling an accurate virtual model of chemical reactions – thus building an ever-growing web of forecasts.

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Upstream is an aggregation of news websites curated by Oliver Rozynski, a Sydney based freelance digital designer by trade, technologist by hobby and entrepreneur by aspiration.

It includes the absolute latest on emerging technologies, projections on future trends and scientific breakthroughs as they happen from over 60 universities worldwide.

The aim of Upstream is to create awareness of the explosion of scientific and technological developments which is currently unfolding behind the curtain of mainstream media. With a better understanding of the possibilities for our future, we can open our imaginations to create a new outlook.

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AI machine achieves IQ test score of young child

Some people might find it enough reason to worry; others, enough reason to be upbeat about what we can achieve in computer science; all await the next chapters in artificial intelligence to see what more a machine can do to mimic human intelligence. We already saw what machines can do in arithmetic, chess and pattern recognition.

MIT Technology Review poses the bigger question: to what extent do these capabilities add up to the equivalent of human intelligence? Shedding some light on AI and humans, a team went ahead to subject an AI system to a standard IQ test given to humans.

Their paper describing their findings has been posted on arXiv. The team is from the University of Illinois at Chicago and an AI research group in Hungary. The AI system which they used is ConceptNet, an open-source project run by the MIT Common Sense Computing Initiative.

Results: It scored a WPPSI-III VIQ that is average for a four-year-old child, but below average for 5 to 7 year-olds.

“We found that the WPPSI-III VIQ psychometric test gives a WPPSI-III VIQ to ConceptNet 4 that is equivalent to that of an average four-year old. The performance of the system fell when compared to older children, and it compared poorly to seven year olds.”

They wrote, “In the work reported here, we used the March 2012 joint release of ConceptNet 4 implemented as the Python module conceptnet and AnalogySpace implemented as the Python module divisi2.3. In this paper ‘ConceptNet’ refers to this combination of AnalogySpace and ConceptNet 4 unless explicitly stated otherwise.”

The title of their paper is “Measuring an Artificial Intelligence System’s Performance on a Verbal IQ Test For Young Children,” and the authors are Stellan Ohlsson, Robert Sloan, György Turán and Aaron Urasky. They represent academic disciplines of statistics, computer science and psychology.

The Wechsler Preschool and Primary Scale of Intelligence (WPPSI-III), which is the test they used, is for children ages 2 years and 6 months to 7 years and 3 months, and is made up of 14 subtests.

The test is called Wechsler after David Wechsler, PhD, cognitive psychology pioneer. Wechsler described intelligence as “the global capacity of a person to act purposefully, to think rationally, and to deal effectively with his environment.”

As for the computer’s ability to answer questions successfully, the authors discussed the limitations.
An example: Saw was taken as the past tense of see rather than as a cutting tool. “ConceptNet does little or no word-sense disambiguation. It combines different forms of one word into one database entry, to increase what is known about that entry. The lack of disambiguation hurts when, for example, the system’s natural language processing tools convert saw into the base form of the verb see, and our question ‘What is a saw used for?’ is answered by ‘An eye is used to see.'”

The authors said that “In general, more powerful natural language processing tools would likely improve system performance.”

Interestingly, these limitations do not spell doom for computers reaching human thought level but rather the limitations help elucidate what needs to come next in AI progress.

MIT Technology Review made the observation that, “Of course, there are various ways that the test could be improved.”

Giving the computer natural language processing capabilities is one way. “That would reduce its reliance on the programming necessary to enter the questions and is something that is already becoming possible with online assistants such as Siri, Cortana, and Google Now,” said the report.

MIT Technology Review added this to the bigger picture regarding this IQ study: “Taking Ohlsson and co’s result at face value, it’s taken 60 years of AI research to build a machine in 2012 that can come anywhere close to matching the common sense reasoning of a four-year old. But the nature of exponential improvements raises the prospect that the next six years might produce similarly dramatic improvements. So a question that we ought to be considering with urgency is: what kind of AI machine might we be grappling with in 2018?”

Thanks Techxplore.com

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