Lifeboat Foundation

When the apocalypse comes, it won’t do so on four rotors. Drones, especially drones-as-we-know-them—the affordable, commercially available quadcopters—are only really engines of their own destruction. Zoltan Istvan, transhumanist candidate for President, wrote today that the American constitution is unprepared for the challenges of swarming robots. With all due I respect, I couldn’t possibly disagree more.

“The Second Amendment Isn’t Prepared for a 3D-Printed Drone Army”, Istvan argues, and vividly sets a scene of total despair:

This new gripper can be revolutionary for everything from food manufacturing to prosthetic hands.

Here is a machine that uses laser to remove rust and paint from metals. So COOL!

These robots decorate your Easter eggs for you.

Researchers from Griffith University and the University of Queensland have overcome one of the key challenges to quantum computing by simplifying a complex quantum logic operation. They demonstrated this by experimentally realising a challenging circuit—the quantum Fredkin gate—for the first time.

“The allure of quantum computers is the unparalleled processing power that they provide compared to current technology,” said Dr Raj Patel from Griffith’s Centre for Quantum Dynamics.

“Much like our everyday computer, the brains of a quantum computer consist of chains of logic gates, although quantum logic gates harness quantum phenomena.”

CRACUNS, an innovative drone being developed by Johns Hopkins University, can be launched from under water and live completely submerged for as long as two months. http://voc.tv/14JQHoo

HOUSTON, March 23, 2016 /PRNewswire/ — Heath Consultants Incorporated (Heath) in collaboration with Physical Sciences Inc. (PSI), is adapting the industry-leading laser-based Remote Methane Leak Detector (RMLD®) for mounting on the InstantEye®, PSI’s two-foot-wide quadrotor Unmanned Aerial Vehicle featuring highly advanced autonomy and all-weather operation. This technology combination, known as the RMLD® Sentry, will implement self-directed flight patterns to continuously monitor, locate, and quantify volumetric leak rates of methane, a potent greenhouse gas, from natural gas production sites.

Photo — http://photos.prnewswire.com/prnh/20160323/347391

The classic quantum mechanics problem is a particle in a 1-D box. Here is a numerical solution to that problem.

At the recent RSA Conference it was virtually impossible to find a vendor that was not claiming to use machine learning. Both new and established companies are now touting “machine learning” as a major component of the data science being used in their products. What the heck is machine learning anyway? And is it really going to reshape cyber security in 2016?

For brevity’s sake, I’ll define machine learning as the science of getting computers to act without being explicitly programmed. Over the past decade, machine learning has enabled self-driving cars, practical speech recognition, effective web search, and has vastly improved our understanding of the human genome. Machine learning is so pervasive today that we use it dozens of times a day without knowing it. Many researchers also think machine learning is the best way to make progress towards human-level Artificial Intelligence.

[ MORE MACHINE LEARNING: Machine learning: Cybersecurity dream-come-true or pipe dream? ].

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