Lifeboat Foundation

Part of the Divine Mind, and so we are.

The most recent observations at both quantum and cosmological scales are casting serious doubts on our current models. For instance, at quantum scale, the latest electronic hydrogen proton radius measurement resulted in a much smaller radius than the one predicted by the standard model of particles physics, which now is off by 4%. At cosmological scale, the amount of observations regarding black holes and galactic formation heading in the direction of a radically different cosmological model, is overwhelming. Black holes have shown being much older than their hosting galaxies, galactic formation is much younger than our models estimates, and there is evidence of at least 64 black holes aligned with respect to their axis of rotation, suggesting the presence of a large scale spatial coherence in angular momentum that is impossible to predict with our current models. Under such scenario, it should not fall as a surprise the absence of a better alternative to unify quantum theory and relativity, and thus connect the very small to the very big, than the idea that the universe is actually a neural network. And for this reason, a theory of everything would be based on it.

As explained in Targemann’s interview to Vanchurin on Futurism, the work of Vanchurin, proposes that we live in a huge neural network that governs everything around us.

Continue reading “Is the Physical World a Neural Network?” »

Artificial intelligence and machine learning are already an integral part of our everyday lives online. For example, search engines such as Google use intelligent ranking algorithms, and video streaming services such as Netflix use machine learning to personalize movie recommendations.

As the demands for AI online continue to grow, so does the need to speed up AI performance and find ways to reduce its energy consumption.

Now a University of Washington-led team has come up with a system that could help: an optical computing core prototype that uses phase-change material. This system is fast, energy efficient and capable of accelerating the neural networks used in AI and machine learning. The technology is also scalable and directly applicable to cloud computing.

Computers trained to reduce the noise in micrographs can now tackle fresh data by themselves.

Researchers from the Max Planck Society assessed humans’ capabilities for controlling killer AI. Read the details.

Researchers from Osaka University propose a concept for next-generation ultra-intense lasers, possibly increasing the current record from 10 Petawatts to 500 Petawatts.

Ultra-intense lasers with ultra-short pulses and ultra-high energies are powerful tools for exploring unknowns in physics, cosmology, material science, etc. With the help of the famous technology “Chirped Pulse Amplification (CPA)” (2018 Nobel Prize in Physics), the current record has reached 10 Petawatts (or 10¹⁶ Watts). In a study recently published in Scientific Reports, researchers from Osaka University proposed a concept for next-generation ultra-intense lasers with a simulated peak power up to the Exawatt class (1 Exawatt equals 1000 Petawatts).

Continue reading “Towards Exawatt-Class Lasers: New Concept for Next-Generation Ultra-Intense Lasers” »

Researchers from the Max Planck Society assessed humans’ capabilities for controlling killer AI. Read the details.

Researchers have found a simple way to eliminate almost all sequencing errors produced by a widely used portable DNA sequencer, potentially enabling scientists working outside the lab to study and track microorganisms like the SARS-CoV-2 virus more efficiently.

Using special molecular tags, the team was able to reduce the five-to-15 percent error rate of Oxford Nanopore Technologies’ MinION device to less than 0.005 percent — even when sequencing many long stretches of DNA at a time.

Continue reading “Pocket-Sized DNA Sequencer Achieves Near-Perfect Accuracy – Could Help Track COVID-19 Virus” »

This robotic combat vehicle willl be supporting troops and tanks in the future. 😃

The Type-X Robotic Combat Vehicle acts as an “intelligent wingman” to ground troops. Explore it here.

Continue reading “Robotics Firm Unveils New Type-X Robotic Combat Vehicle” »

DALL-E brings AI one step closer to human-like creativity, and the images it generates could seed all kinds of new ideas.

The result was a bizarre, Lego-like human tissue that replicates the basic circuits behind how we decide to move. Without external prompting, when churned together like ice cream, the three ingredients physically linked up into a fully functional circuit. The 3D mini-brain, through the information highway formed by the artificial spinal cord, was able to make the lab-grown muscle twitch on demand.

In other words, if you think isolated mini-brains—known formally as brain organoids—floating in a jar is creepy, upgrade your nightmares. The next big thing in probing the brain is assembloids—free-floating brain circuits—that now combine brain tissue with an external output.

The end goal isn’t to freak people out. Rather, it’s to recapitulate our nervous system, from input to output, inside the controlled environment of a Petri dish. An autonomous, living brain-spinal cord-muscle entity is an invaluable model for figuring out how our own brains direct the intricate muscle movements that allow us stay upright, walk, or type on a keyboard.

InSight lander’s “mole” was unable to hammer through the Martian soil, and unusually dusty solar panels meant the robot was generating less power.