Lifeboat Foundation

Intellectual property claims keep relevant evidence out of court.

https://youtube.com/watch?v=0TMeRdDEuIg

New research suggests that the human brain is almost beyond comprehension because it doesn’t process the world in two dimensions or even three. No, the human brain understands the visual world in up to 11 different dimensions.

The astonishing discovery helps explain why even cutting-edge technologies like functional MRIs have such a hard time explaining what is going on inside our noggins. In a functional MRI, brain activity is monitored and represented as a three-dimensional image that changes over time. However, if the brain is actually working in 11 dimensions, looking at a 3D functional MRI and saying that it explains brain activity would be like looking at the shadow of a head of a pin and saying that it explains the entire universe, plus a multitude of other dimensions.

Continue reading “The human brain sees the world as an 11-dimensional multiverse” »

At the intersection of two challenging computational and technological problems, may lie the key better understanding and manipulating quantum randomness.

Can the Moby store bring locally controlled convenience stores to places that lack a simple place to buy essentials?

Very interesting new feature in Aeon on AI that also discusses my short fiction The Jesus Singularity: https://aeon.co/essays/why-is-the-language-of-transhumanists…so-similar #transhumanism

The most avid believers in artificial intelligence are aggressively secular – yet their language is eerily religious. Why?

“Deep Learning” computer systems, based on artificial neural networks that mimic the way the brain learns from an accumulation of examples, have become a hot topic in computer science. In addition to enabling technologies such as face- and voice-recognition software, these systems could scour vast amounts of medical data to find patterns that could be useful diagnostically, or scan chemical formulas for possible new pharmaceuticals.

But the computations these systems must carry out are highly complex and demanding, even for the most powerful computers.

Now, a team of researchers at MIT and elsewhere has developed a new approach to such computations, using light instead of electricity, which they say could vastly improve the speed and efficiency of certain deep learning computations. Their results appear today in the journal Nature Photonics (“Deep learning with coherent nanophotonic circuits”) in a paper by MIT postdoc Yichen Shen, graduate student Nicholas Harris, professors Marin Soljacic and Dirk Englund, and eight others.

Now you have until 6/30 to submit a proposal to the Agency’s Lifelong Learning Machines (L2M) program.

Here’s the vision: Muster all the creativity that you can with the goal of developing fundamentally new machine learning approaches that enable systems to learn continually as they operate and apply previous knowledge to novel situations. Current AI systems only compute with what they have been programmed or trained for in advance; they have no ability to learn from data input during execution time and cannot adapt online to changes they encounter in real environments. The goal of L2M is to develop substantially more capable systems that are continually improving and updating from experience.

Consult the Broad Agency Announcement for more information: https://www.fbo.gov/…/…/DARPA/CMO/HR001117S0016/listing.html

Continue reading “Think you can develop machines that keep on learning” »

An anesthetic injection, delivered by a shot to the neck, is thought to alleviate symptoms better than traditional efforts. A $2 million study will be the first large-scale randomized control research into their use.

Astronomers could help asteroid miners identify the most promising targets, potentially slashing the cost of off-Earth resource extraction, Harvard astrophysicist Martin Elvis said.