Lifeboat Foundation

ABSTRACT

According to Einstein, General Relativity contains the essence of Mach’s ideas. Mach’s principle can be summarized by stating that the inertia of a body is determined by the rest of the mass-energy content of the universe. Inertia here arises from mass-energy there. The latter, was a statement made by John Wheeler in his 1995 book, Gravitation and Inertia, coauthored by Ciufolini. Einstein believed that to be fully Machian, gravity would need a radiative component, an action-at-a-dis- tance character, so that gravitational influences on a body from far away could be felt immediately. In 1960’s, Hoyle and Narlikar (HN) developed such a theory which was a gravitational version of the Absorber theory derived by Wheeler-Feynman for classical electrodynamics and later expanded upon by Davies and Narlikar for quantum electrodynamics. The HN-field equation has the same type of mass fluctuation terms as in the Woodward Mach effect thruster theory. The force equation, used to predict the thrust in our device, can be derived from the mass fluctuation. We outline a new method for deriving the force equation. We present new experimental tests of the thruster to show that the thrust seen in our device is not due to either heating or Dean Drive effects. Successful replications have been performed by groups in Austria and Canada, but their work is still pending in the peer review literature.

Keywords:

Mach Effect Drive, Transient Mass Fluctuations, Mach’s Principle, Action at a Distance, Advanced Waves, Event Horizon.

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ABSTRACT

The Mach Effect Thruster (MET) is a propellant―less space drive which uses Mach’s principle to produce thrust in an accelerating material which is undergoing mass―energy fluctuations, [1] –[3]. Mach’s principle is a statement that the inertia of a body is the result of the gravitational interaction of the body with the rest of the mass-energy in the universe. The MET device uses electric power of 100 — 200 Watts to operate. The thrust produced by these devices, at the present time, are small on the order of a few micro-Newtons. We give a physical description of the MET device and apparatus for measuring thrusts. Next we explain the basic theory behind the device which involves gravitation and advanced waves to incorporate instantaneous action at a distance. The advanced wave concept is a means to conserve momentum of the system with the universe. There is no momentun violation in this theory. We briefly review absorber theory by summarizing Dirac, Wheeler-Feynman and Hoyle-Narlikar (HN). We show how Woodward’s mass fluctuation formula can be derived from first principles using the HN-theory which is a fully Machian version of Einstein’s relativity. HN-theory reduces to Einstein’s field equations in the limit of smooth fluid distribution of matter and a simple coordinate transformation.

Keywords:

Continue reading “Theory of a Mach Effect Thruster I” »

Short Bytes: Artificial Intelligence holds a special place in the future of the humanity. Many tech giants, including Facebook, have long been working on improving the AI to make lives better. Facebook has decided to reveal its milestones in Artificial Intelligence Research in the form of a progress report.

It doesn’t matter if you are scared of AI like Elon Musk or Stephen Hawking or if you have an opinion same as that of Google’s chief of Artificial Intelligence that computers are remarkably dumb. Companies are still going through the byzantine process of training the machines and creating human brain algorithms. Meanwhile, Facebook has just announced its progress report.

Facebook’s AI research team (FAIR) will present at NIPS, an Artificial Intelligence conference, its report card and reveal the team’s achievements regarding its state-of-the-art systems. Facebook has been trying to improve the image recognition and has created a system that speeds up the process by 30% using 10 times less training data from previous benchmarks.

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In a classic eureka moment, a team of physicists led by The City College of New York and including Herriot-Watt University and Corning Incorporated is showing how beams from ordinary laser pointers mimic quantum entanglement with the potential of doubling the data speed of laser communication.

Quantum entanglement is a phrase more likely to be heard on popular sci-fi television shows such as “Fringe” and “Doctor Who.” Described by Albert Einstein as “spooky action at a distance,” when two quantum things are entangled, if one is ‘touched’ the other will ‘feel it,’ even if separated by a great distance.

“At the heart of quantum entanglement is ‘nonseparability’ — two entangled things are described by an unfactorizable equation,” said City College PhD student Giovanni Milione. “Interestingly, a conventional laser beam (a laser pointer)’s shape and polarization can also be nonseparable.”

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This means that BPG not only is way smaller than JPEG but also delivers a better quality. And that’s not all! It also supports animations!

And when I say animation, I actually say GIF-like movies with MP4 quality that are actually smaller than the mp4 it was built from.

Let’s see an example (I have not included a GIF example because the same quality size and frame rate means that the GIF will have exactly 33.8MB)

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Can the laws of physics change over time and space?

As far as physicists can tell, the cosmos has been playing by the same rulebook since the time of the Big Bang. But could the laws have been different in the past, and could they change in the future? Might different laws prevail in some distant corner of the cosmos?

“It’s not a completely crazy possibility,” says Sean Carroll, a theoretical physicist at Caltech, who points out that, when we ask if the laws of physics are mutable, we’re actually asking two separate questions: First, do the equations of quantum mechanics and gravity change over time and space? And second, do the numerical constants that populate those equations vary?

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Self-driving cars are already cruising the streets. But before they can become widespread, carmakers must solve an impossible ethical dilemma of algorithmic morality.

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Nature invented software billions of years before we did. “The origin of life is really the origin of software,” says Gregory Chaitin. Life requires what software does (it’s foundationally algorithmic).

1. “DNA is multibillion-year-old software,” says Chaitin (inventor of mathematical metabiology). We’re surrounded by software, but couldn’t see it until we had suitable thinking tools.

2. Alan Turing described modern software in 1936, inspiring John Von Neumann to connect software to biology. Before DNA was understood, Von Neumann saw that self-reproducing automata needed software. We now know DNA stores information; it’s a biochemical version of Turning’s software tape, but more generally: All that lives must process information. Biology’s basic building blocks are processes that make decisions.

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Tesla’s new autopilot system is relying on the cutting edge of machine learning, connectivity and mapping data.

While Tesla’s new hands-free driving is drawing a lot of interest this week, it’s the technology behind-the-scenes of the company’s newly-enabled autopilot service that should be getting more attention.

At an event on Wednesday Tesla’s CEO Elon Musk explained that the company’s new autopilot service is constantly learning and improving thanks to machine learning algorithms, the car’s wireless connection, and detailed mapping and sensor data that Tesla collects.

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