Lifeboat Foundation

The field of “scientific theology” ponders the ultimate purpose of mind.

What’s the Latest?

When Francis Crick, the English scientist who helped discover the structure of DNA, died in 2004, he and a colleague were in the midst of researching the potential existence of an on-off switch for consciousness located somewhere deep within the brain. Crick’s hypothesis likened the proposed switch to an orchestra conductor “to bind all of our different external and internal perceptions together.” Researchers at George Washington University in Washington DC believe they may have found Crick’s conductor. As it happens, it’s located in the exact part of the brain Crick had initially guessed: the claustrum.

What’s the Big Idea?

Continue reading “Neuroscientists Discover an Ignition Switch for Consciousness” »

In Brief:

• Watson recommended treatment plans that matched suggestions from oncologists in 99 percent of the cases it analyzed and offered options doctors missed in 30 percent of them.
• AI could be revolutionary for healthcare as it can process many more research papers and case files than any human doctor could manage.

Artificial intelligence (AI) is about more than just the promise of a robot butler — it can actually save lives. AI’s contribution to the healthcare industry and in medical research could be hugely significant. IBM sees that and wants Watson, its AI technology, at the forefront of this development.

With pinpoint accuracy, this electronic warfare drone can black out opposing forces at will.

Boeing’s “CHAMP” (Counter-electronics High-powered Microwave Advanced Missile Project) is a one-missile, flying blackout. Image source: Boeing.

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https://www.youtube.com/watch?v=-mUJnKI3ipI&feature=youtu.be

Energy independent housing. Here you go.

Filmed on Oct 28, 2016.

SpaceX’s Elon Musk wants to put millions on Mars, but fellow billionaire Jeff Bezos envisions having them in rotating space habitats.

So I thought up the Zaxon, a tactical vehicle that uses that turbojet technology to deploy special forces on the ground to a target less than 100 clicks away, possibly after dropping from a Lockheed Martin C-5 Galaxy.

The size of a standard touring motorcycle, the single-seat Zaxon would use two larger engines up front, and two smaller ones in back. The jets could tilt slightly for liftoff, landing, or full-speed flying. The large fuel tank would sit inside the bike, taking the space usually occupied by a motorcycle engine.

Two jet nozzles would help with lateral stability, making small adjustments when necessary. An onboard flying system would help stabilize the vehicle automatically, although the pilot would need to be trained to properly feel the bike and learn how to react to its movements.

Continue reading “Special Forces Would Def Love Tooling Around on Flying Motorcycles” »

In recent years, the best-performing systems in artificial-intelligence research have come courtesy of neural networks, which look for patterns in training data that yield useful predictions or classifications. A neural net might, for instance, be trained to recognize certain objects in digital images or to infer the topics of texts.

But neural nets are black boxes. After training, a network may be very good at classifying data, but even its creators will have no idea why. With visual data, it’s sometimes possible to automate experiments that determine which visual features a neural net is responding to. But text-processing systems tend to be more opaque.

At the Association for Computational Linguistics’ Conference on Empirical Methods in Natural Language Processing, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) will present a new way to train neural networks so that they provide not only predictions and classifications but rationales for their decisions.