World's First Ever Drone to Crawl and to Fly is Here:
World's first Un-manned Vehicle able to race and flight.
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The Black Knight Drone is currently in the last stage of its Testing. The Californian Firm Advanced Tacticals has made for the United States Military.
It will be the first-ever transformer drone, which is capable of taking off using any terrain and to run even on the grounds. This especially designed "truck" will be loaded with a total of 8 rotary blades, which will help it in flying and are further equipped with the Helicopter tech.
The military could be using it either as a Rescue vehicle, or an Ambulance.
New Tech Gifts Of 2014 :
We're going to get a look at what are the amazing stuffs that we will be encountering this New Year
Things which Heal themselves "Terminator":
Sceince and Technology has became so advanced nowadays, that everything has became effortless. The Impossible is now Possible:
Synthetic Materials cannot heal themselves, but scientist at the CIDETEC Center of ElectroChemical Technologies in Spain have developed a kind of polymer, able to mend by itself.
Synthetic Materials cannot heal themselves, but scientist at the CIDETEC Center of ElectroChemical Technologies in Spain have developed a kind of polymer, able to mend by itself.
In an experiment, scientists sliced a cylinder made of this polymer. They broke it in two parts, and then "put in contact" the two parts without applying any external force. Withim two hours it began to heal itself and then after 24 hrs. the cylinder was back in shape.
Imagine, your vase falls and breaks into two, and you keep it joint for 2 hrs., next morning, hurray!! it is back in shape.
Imagine, your vase falls and breaks into two, and you keep it joint for 2 hrs., next morning, hurray!! it is back in shape.
New Techique Founded To Stop Malayria Dec.25 th
Dr. Ed Tate , Prof. of the Chemical Dept. at The Imperial College London , who led the team with others has finded a new way to Stop MAlyria . According to a latest report, the scientists have recently discovered about a new malaria treatment. This treatment can be done by stopping malaria parasites from multiplying.
These new findings have been published in Nature Chemistry .
The study reveals that the scientists are now able to block the activity of an enzyme called NMT in the most common malaria parasite. This new technique has prevented mice from showing symptoms and has also extended their lifespan.
It has been confessed by a team of scientists that they are working harder to design molecules that target NMT more effectively as well as potently.
The researchers are hoping to start the clinical trials of the same within four years from now.
Dr. Ed siad "The drug situation for malaria is becoming very serious. Resistance is emerging fast and it's going to be a huge problem in the future".
First In-Human Trial of Endoxifen Shows Promise as Breast Cancer Treatment :
Dec. 12, 2013 — A Phase I trial of endoxifen, an active metabolite of the cancer drug tamoxifen, indicates that the experimental drug is safe, with early evidence for anti-tumor activity, a Mayo Clinic study has found. The findings indicate that Z-endoxifen, co-developed by Mayo Clinic Cancer Center and the National Cancer Institute (NCI), may provide a new and better treatment for some women with estrogen positive breast cancer and, in particular, for those women who do not respond to tamoxifen and aromatase inhibitors. Results of the first in-human trial were presented today during the 2013 San Antonio Breast Cancer Symposium.
The Thinking Silicon :
Processor That Works Like Brain Will Accelerate AI :
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The Computer Chip , Made by IBM in 2011 ,features components that serve as 258 Neurons & 2,62,144 Synapses .
A new breed of computer chips that operate more like the brain may be about to narrow the gulf between artificial and natural computation—between circuits that crunch through logical operations at blistering speed and a mechanism honed by evolution to process and act on sensory input from the real world. Advances in neuroscience and chip technology have made it practical to build devices that, on a small scale at least, process data the way a mammalian brain does. These “neuromorphic” chips may be the missing piece of many promising but unfinished projects in artificial intelligence, such as cars that drive themselves reliably in all conditions, and smartphones that act as competent conversational assistants.
“Modern computers are inherited from calculators, good for crunching numbers,” says Dharmendra Modha, a senior researcher at IBM Research in Almaden, California. “Brains evolved in the real world.”Modha leads one of two groups that have built computer chips with a basic architecture copied from the mammalian brain under a $100 million project called Synapse , funded by the Pentagon’s Defense Advanced Research Projects Agency.
The prototypes have already shown early sparks of intelligence, processing images very efficiently and gaining new skills in a way that resembles biological learning. IBM has created tools to let software engineers program these brain-inspired chips; the other prototype, at HRL Laboratories in Malibu, California, will soon be installed inside a tiny robotic aircraft, from which it will learn to recognize its surroundings.
The evolution of brain-inspired chips began in the early 1980s with Carver Mead, a professor at the California Institute of Technology and one of the fathers of modern computing. Mead had made his name by helping to develop a way of designing computer chips called very large scale integration, or VLSI, which enabled manufacturers to create much more complex microprocessors. This triggered explosive growth in computation power: computers looked set to become mainstream, even ubiquitous. But the industry seemed happy to build them around one blueprint, dating from 1945. The von Neumann architecture, named after the Hungarian-born mathematician John von Neumann, is designed to execute linear sequences of instructions. All today’s computers, from smartphones to supercomputers, have just two main components: a central processing unit, or CPU, to manipulate data, and a block of random access memory, or RAM, to store the data and the instructions on how to manipulate it. The CPU begins by fetching its first instruction from memory, followed by the data needed to execute it; after the instruction is performed, the result is sent back to memory and the cycle repeats. Even multicore chips that handle data in parallel are limited to just a few simultaneous linear processes.
That approach developed naturally from theoretical math and logic, where problems are solved with linear chains of reasoning. Yet it was unsuitable for processing and learning from large amounts of data, especially sensory input such as images or sound. It also came with built-in limitations: to make computers more powerful, the industry had tasked itself with building increasingly complex chips capable of carrying out sequential operations faster and faster, but this put engineers on course for major efficiency and cooling problems, because speedier chips produce more waste heat. Mead, now 79 and a professor emeritus, sensed even then that there could be a better way. “The more I thought about it, the more it felt awkward,” he says, sitting in the office he retains at Caltech. He began dreaming of chips that processed many instructions—perhaps millions—in parallel. Such a chip could accomplish new tasks, efficiently handling large quantities of unstructured information such as video or sound. It could be more compact and use power more efficiently, even if it were more specialized for particular kinds of tasks. Evidence that this was possible could be found flying, scampering, and walking all around. “The only examples we had of a massively parallel thing were in the brains of animals,” says Mead.
Which computers will support this
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