So, you think you’ve seen it all? You haven’t seen anything yet. By the year 2030, advancements will excel anything we’ve seen before concerning human intelligence. In fact, predictions offer glimpses of something truly amazing – the development of a human hybrid, a mind that thinks in artificial intelligence.
Ray Kurzweil, director of engineering at Google, spoke openly about this idea at the Exponential Finance Conference in New York. He predicts that humans will have hybrid brains able to connect to the cloud, just as with computers. In this cloud, there will be thousands of computers which will update human intelligence. The larger the cloud, the more complicated the thinking. This will all be connected using DNA strands called Nanobots. Sounds like a Sci-Fi movie, doesn’t it?
Scientists from the University of Cambridge have built a mother robot that independently builds its own children and then tests their performance to inform the design of the next generation. By analyzing the data it collects from observing the child, the mother robot ensures that preferential traits are passed down to the next iteration, while letting weaknesses fall by the wayside.
“We developed a robot that creates robots. And basically we have a mother robot that combines active and passive modules using glue to make other children robots. And these robots, as the mother creates them and puts them to work, she evaluates how they’re behaving and she uses the data from this behavior to create the next generation of robots,” explained Andre Rosendo, who worked on the project at the University’s Department of Engineering.
With no human intervention beyond a simple computer command to build a robot capable of locomotion, the mother constructs a design using between one and five plastic cubes that are stuck together using glue. Each cube has a small motor inside, so when they are attached to each other in slightly varying formations it produces a different rate of locomotion when the motors are activated. Each robot child is tested on how far it moves from a starting position in a given amount of time, with the best individuals’ traits carried over into the next generation.
The human being — especially in so-called “advanced civilizations” — is the animal that molds itself into its own pet.
Peter Sloterdijk is Germany’s most controversial thinker and media theorist. He has dared to challenge long-established divisions in traditional philosophy of body and soul, subject and object, culture and nature. His 1999 lecture on “Regulations for the Human Park,” in which he argued that genetic engineering was a continuation of human striving for self-creation, stirred up a tempest in a country known for Nazi eugenics. At the same time, he himself has concluded that “the taming of man has failed” as civilization’s potential for barbarism has grown ever greater. His seminal books include “Critique of Cynical Reason” and his trilogy, “Spheres.”
At a recent Berggruen Center on Philosophy and Culture symposium on humans and technology at Cambridge University’s St. John’s School of Divinity, The WorldPost discussed with Sloterdijk the end of borders between humans and technology, the cloud, singularity and identity in the age of globalization.
For years now, you have been arguing that a new type of being was coming into existence, as the human species fuses with its technological prosthetics — “anthropo-technology.” In this new being, man and machine are becoming one integrated, operative system linked by information.
Intel today announced plans to invest $50 million over the next ten years as part of a quantum computing push to help solve problems such as “large-scale financial analysis and more effective drug development.”
But despite the ambitions and huge cost of the project, company vice president Mike Mayberry admits that “a fully functioning quantum computer is at least a dozen years away.”
The money will be channeled through QuTech, the quantum research institute of Delft University of Technology, and TNO, with Intel additionally pledging to commit its own “engineering resources” to the collaborative effort.
Advances in 3-D printing have led to new ways to make bone and some other relatively simple body parts that can be implanted in patients. But finding an ideal bio-ink has stalled progress toward printing more complex tissues with versatile functions. Now scientists have developed a silk-based ink that could open up new possibilities toward that goal.
NASA Glenn Research Center, GRC, currently has several programs to advance near-term photovoltaic array development. One project is to design, build, and test two 20 kW-sized deployable solar arrays, bringing them to technology readiness level (TRL) 5, and through analysis show that they should be extensible to 300 kW-class systems (150 kw per wing). These solar arrays are approximately 1500 square meters in total area which is about an order-of-magnitude larger than the 160 square meters solar array blankets on the International Space Station (ISS).
The ISS has the four (pair) sets of solar arrays that can generate 84 to 120 kilowatts of electricity. Each of the eight solar arrays is 112 feet long by 39 feet wide and weighs 2400 pounds. There were space missions involving astronauts working in space to install and deploy the ISS solar panels.
Alliant Technical Systems, ATK, was selected in 2012 by NASA’s Space Technology Program under a Game Changing Technology competition for development of a promising lightweight and compact solar array structure. The MegaFlex™ engineering development unit, EDU, was tested at NASA GRC Plumbrook facility this year. See below for the ATK deployment of the demonstration unit.
Engineers at the University of Toronto just made assembling functional heart tissue as easy as fastening your shoes. The team has created a biocompatible scaffold that allows sheets of beating heart cells to snap together just like Velcro™.
“One of the main advantages is the ease of use,” says biomedical engineer Professor Milica Radisic, who led the project. “We can build larger tissue structures immediately before they are needed, and disassemble them just as easily. I don’t know of any other technique that gives this ability.”
Growing heart muscle cells in the lab is nothing new. The problem is that too often, these cells don’t resemble those found in the body. Real heart cells grow in an environment replete with protein scaffolds and support cells that help shape them into long, lean beating machines. In contrast, lab-grown cells often lack these supports, and tend to be amorphous and weak. Radisic and her team focus on engineering artificial environments that more closely imitate what cells see in the body, resulting in tougher, more robust cells.
Scientists including one of Indian origin have developed a new highly efficient and low cost light emitting diode that could help spur more widespread adoption of the LED technology.
“It can potentially revolutionise lighting technology. In general, the cost of LED lighting has been a big concern thus far. Energy savings have not balanced out high costs. The new discovery could change that,” explained Zhibin Yu, assistant professor of industrial and manufacturing engineering at Florida State University.
Yu developed this technology with a team that included post-doctoral researcher Junqiang Li and graduate students Sri Ganesh Bade and Xin Shan.
But the ultimate goals of the project are nothing short of amazing: “The best possible outcome is to map the entirety of existing cache of neural network algorithms and applications to this energy-efficient substrate,” said Modha. “And, to invent entirely new algorithms that were hereto before impossible to imagine.”
IBM scientists are advancing toward “neuromorphic” computing — digital systems that process information like the brain — and launching a complete ecosystem for brain-like computing, with important near-term applications and visionary long-term prospects.
“For decades, computer scientists have been pursuing two elusive goals in parallel: engineering energy-efficient computers modeled on the human brain and designing smart computing systems that learn on their own — like humans do — and are not programmed like today’s computers,” said Dharmendra S. Modha, IBM Fellow and Chief Scientist for brain-inspired computing.
July, 2015; as you know.. was the all systems go for the CERNs Large Hadron Collider (LHC). On a Saturday evening, proton collisions resumed at the LHC and the experiments began collecting data once again. With the observation of the Higgs already in our back pocket — It was time to turn up the dial and push the LHC into double digit (TeV) energy levels. From a personal standpoint, I didn’t blink an eye hearing that large amounts of Data was being collected at every turn. BUT, I was quite surprised to learn at the ‘Amount’ being collected and processed each day — About One Petabyte.
Approximately 600 million times per second, particles collide within the (LHC). The digitized summary is recorded as a “collision event”. Physicists must then sift through the 30 petabytes or so of data produced annually to determine if the collisions have thrown up any interesting physics. Needless to say — The Hunt is On!
The Data Center processes about one Petabyte of data every day — the equivalent of around 210,000 DVDs. The center hosts 11,000 servers with 100,000 processor cores. Some 6000 changes in the database are performed every second.
With experiments at CERN generating such colossal amounts of data. The Data Center stores it, and then sends it around the world for analysis. CERN simply does not have the computing or financial resources to crunch all of the data on site, so in 2002 it turned to grid computing to share the burden with computer centres around the world. The Worldwide LHC Computing Grid (WLCG) – a distributed computing infrastructure arranged in tiers – gives a community of over 8000 physicists near real-time access to LHC data. The Grid runs more than two million jobs per day. At peak rates, 10 gigabytes of data may be transferred from its servers every second.
By early 2013 CERN had increased the power capacity of the centre from 2.9 MW to 3.5 MW, allowing the installation of more computers. In parallel, improvements in energy-efficiency implemented in 2011 have led to an estimated energy saving of 4.5 GWh per year.
Image: CERN
PROCESSING THE DATA (processing info via CERN)> Subsequently hundreds of thousands of computers from around the world come into action: harnessed in a distributed computing service, they form the Worldwide LHC Computing Grid (WLCG), which provides the resources to store, distribute, and process the LHC data. WLCG combines the power of more than 170 collaborating centres in 36 countries around the world, which are linked to CERN. Every day WLCG processes more than 1.5 million ‘jobs’, corresponding to a single computer running for more than 600 years.
CERN DATA CENTER: The server farm in the 1450 m2 main room of the DC (pictured) forms Tier 0, the first point of contact between experimental data from the LHC and the Grid. As well as servers and data storage systems for Tier 0 and further physics analysis, the DC houses systems critical to the daily functioning of the laboratory. (Image: CERN)
The data flow from all four experiments for Run 2 is anticipated to be about 25 GB/s (gigabyte per second)
ALICE: 4 GB/s (Pb-Pb running)
ATLAS: 800 MB/s – 1 GB/s
CMS: 600 MB/s
LHCb: 750 MB/s
In July, the LHCb experiment reported observation of an entire new class of particles: Exotic Pentaquark Particles (Image: CERN)
Possible layout of the quarks in a pentaquark particle. The five quarks might be tightly bound (left). The five quarks might be tightly bound. They might also be assembled into a meson (one quark and one anti quark) and a baryon (three quarks), weakly bound together.
The LHCb experiment at CERN’s LHC has reported the discovery of a class of particles known as pentaquarks. In short, “The pentaquark is not just any new particle,” said LHCb spokesperson Guy Wilkinson. “It represents a way to aggregate quarks, namely the fundamental constituents of ordinary protons and neutrons, in a pattern that has never been observed before in over 50 years of experimental searches. Studying its properties may allow us to understand better how ordinary matter, the protons and neutrons from which we’re all made, is constituted.”
Our understanding of the structure of matter was revolutionized in 1964 when American physicist Murray Gell-Mann proposed that a category of particles known as baryons, which includes protons and neutrons, are comprised of three fractionally charged objects called quarks, and that another category, mesons, are formed of quark-antiquark pairs. This quark model also allows the existence of other quark composite states, such as pentaquarks composed of four quarks and an antiquark.
Until now, however, no conclusive evidence for pentaquarks had been seen. Earlier experiments that have searched for pentaquarks have proved inconclusive. The next step in the analysis will be to study how the quarks are bound together within the pentaquarks.
“The quarks could be tightly bound,” said LHCb physicist Liming Zhang of Tsinghua University, “or they could be loosely bound in a sort of meson-baryon molecule, in which the meson and baryon feel a residual strong force similar to the one binding protons and neutrons to form nuclei.” More studies will be needed to distinguish between these possibilities, and to see what else pentaquarks can teach us!
August 18th, 2015 CERN Experiment Confirms Matter-Antimatter CPT Symmetry For Light Nuclei, Antinuclei (Image: CERN)
Days after scientists at CERN’s Baryon-Antibaryon Symmetry Experiment (BASE) measured the mass-to-charge ratio of a proton and its antimatter particle, the antiproton, the ALICE experiment at the European organization reported similar measurements for light nuclei and antinuclei.
The measurements, made with unprecedented precision, add to growing scientific data confirming that matter and antimatter are true mirror images.
Antimatter shares the same mass as its matter counterpart, but has opposite electric charge. The electron, for instance, has a positively charged antimatter equivalent called positron. Scientists believe that the Big Bang created equal quantities of matter and antimatter 13.8 billion years ago. However, for reasons yet unknown, matter prevailed, creating everything we see around us today — from the smallest microbe on Earth to the largest galaxy in the universe.
Last week, in a paper published in the journal Nature, researchers reported a significant step toward solving this long-standing mystery of the universe. According to the study, 13,000 measurements over a 35-day period show — with unparalleled precision – that protons and antiprotons have identical mass-to-charge ratios.
The experiment tested a central tenet of the Standard Model of particle physics, known as the Charge, Parity, and Time Reversal (CPT) symmetry. If CPT symmetry is true, a system remains unchanged if three fundamental properties — charge, parity, which refers to a 180-degree flip in spatial configuration, and time — are reversed.
The latest study takes the research over this symmetry further. The ALICE measurements show that CPT symmetry holds true for light nuclei such as deuterons — a hydrogen nucleus with an additional neutron — and antideuterons, as well as for helium-3 nuclei — two protons plus a neutron — and antihelium-3 nuclei. The experiment, which also analyzed the curvature of these particles’ tracks in ALICE detector’s magnetic field and their time of flight, improve on the existing measurements by a factor of up to 100.
IN CLOSING..
A violation of CPT would not only hint at the existence of physics beyond the Standard Model — which isn’t complete yet — it would also help us understand why the universe, as we know it, is completely devoid of antimatter.
