Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI

Many folks have voiced the concerns over autonomous autos for many legitimate reasons including hacking and weak satellite signals for navigation especially when you review mountain ranges of the east coast.

The world has witnessed enormous advances in autonomous passenger vehicle technologies over the last dozen years.

The performance of microprocessors, memory chips and sensors needed for autonomous driving has greatly increased, while the cost of these components has decreased substantially.

Software for controlling and navigating these systems has similarly improved.

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LAS VEGAS, Nev. — Mayhem ruled the day when seven AIs clashed here last week — a bot named Mayhem that, along with its competitors, proved that machines can now quickly find many types of security vulnerabilities hiding in vast amounts of code.

Sponsored by the Defense Advanced Research Projects Agency, or DARPA, the first-of-its-kind contest sought to explore how artificial intelligence and automation might help find security and design flaws that bad actors use to penetrate computer networks and steal data.

Mayhem, built by the For All Secure team out of Carnegie Mellon University, so outclassed its competition that it won even though it was inoperable for about half of the contest’s 96 270-second rounds. Mayhem pivoted between two autonomous methods of finding bugs and developing ways to exploit them.

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I already voiced my concerns of this technology in the hands of criminals and terrorists. If we can have it so can others. Only when QC and a Quantum net is in place will we be truly protected with bots.

Cybersecurity could soon be another place where bots become invaluable for experts. DARPA recently organized The Cyber Grand Challenge, where computer algorithms showed how easy it is to clean up vulnerabilities in code written by humans. ( DARPA )

The Cyber Grand Challenge took place under DARPA patronage, and it is good to see how preoccupied the U.S. Department of Defense is with cybersecurity.

The event pitted computers against each other in an attempt to uncover which one can best fulfill the tasks of human cybersecurity researchers, that is, discovering a bug in a software program and fixing it.

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I will like to see how this stacks against China’s Quantum net, QC platform, AI, and hackers in the future. Not sold at this point until we truly have a QC infrastructure in place.

At DARPA’s Cyber Grand Challenge, bots showed off their ability to help a world wallowing in vulnerable code.

LAS VEGAS, Nev. — Mayhem ruled the day when seven AIs clashed here last week — a bot named Mayhem that, along with its competitors, proved that machines can now quickly find many types of security vulnerabilities hiding in vast amounts of code.

Sponsored by the Defense Advanced Research Projects Agency, or DARPA, the first-of-its-kind contest sought to explore how artificial intelligence and automation might help find security and design flaws that bad actors use to penetrate computer networks and steal data.

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An accurate method for spacecraft navigation takes a leap forward today as the National Physical Laboratory (NPL) and the University of Leicester publish a paper that reveals a spacecraft’s position in space in the direction of a particular pulsar can be calculated autonomously, using a small X-ray telescope on board the craft, to an accuracy of 2km. The method uses X-rays emitted from pulsars, which can be used to work out the position of a craft in space in 3D to an accuracy of 30 km at the distance of Neptune.

Pulsars are dead stars that emit radiation in the form of X-rays and other electromagnetic waves. For a certain type of pulsar, called ‘millisecond pulsars’, the pulses of radiation occur with the regularity and precision of an atomic clock and could be used much like GPS in space.

The paper, published in Experimental Astronomy, details simulations undertaken using data, such as the pulsar positions and a craft’s distance from the Sun, for a European Space Agency feasibility study of the concept. The simulations took these data and tested the concept of triangulation by pulsars with current technology (an X-ray telescope designed and developed by the University of Leicester) and position, velocity and timing analysis undertaken by NPL. This generated a list of usable pulsars and measurements of how accurately a small telescope can lock onto these pulsars and calculate a location.

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Quantum computing remains mysterious and elusive to many, but USC Viterbi School of Engineering researchers might have taken us one step closer to bring such super-powered devices to practical reality. The USC Viterbi School of Engineering and Information Sciences Institute is home to the USC-Lockheed Martin Quantum Computing Center (QCC), a super-cooled, magnetically shielded facility specially built to house the first commercially available quantum optimization processors — devices so advanced that there are currently only two in use outside the Canadian company D-Wave Systems Inc., where they were built: The first one went to USC and Lockheed Martin, and the second to NASA and Google.

Quantum computers encode data in quantum bits, or “qubits,” which have the capability of representing the two digits of one and zero at the same time — as opposed to traditional bits, which can encode distinctly either a one or a zero. This property, called superposition, along with the ability of quantum states to “interfere” (cancel or reinforce each other like waves in a pond) and “tunnel” through energy barriers, is what may one day allow quantum processors to ultimately perform optimization calculations much faster than is possible using traditional processors. Optimization problems can take many forms, and quantum processors have been theorized to be useful for a variety of machine learning and big data problems like stock portfolio optimization, image recognition and classification, and detecting anomalies. Yet, exactly because of the exotic way in which quantum computers process information, they are highly sensitive to errors of different kinds.

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Magine a future in which hyper-efficient solar panels provide renewable sources of energy, improved water filters quickly remove toxins from drinking water, and the air is scrubbed clean of pollution and greenhouse gases. That could become a reality with the right molecules and materials.

Scientists from Harvard and Google have taken a major step toward making the search for those molecules easier, demonstrating for the first time that a quantum computer could be used to model the electron interactions in a complex molecule. The work is described in a new paper published in the journal Physical Review X by Professor Alán Aspuru-Guzik from the Department of Chemistry and Chemical Biology and several co-authors.

“There are a number of applications that a quantum computer would be useful for: cryptography, machine learning, and certain number-theory problems,” Aspuru-Guzik said. “But one that has always been mentioned, even from the first conceptions of a quantum computer, was to use it to simulate matter. In this case, we use it to simulate chemistry.”

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