Lifeboat Foundation

This art installation enhances plant growth while taking pesticides out of the equation through ultraviolet light. The GROW project shines vertical lights across 215000 square feet of farmland creating a luminous dreamscape that highlights the beauty of agriculture, and displays nature as the ultimate work of art it is!

📹 @roosegaarde via IG.

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.

The algorithm isn’t perfect, but it vastly outperforms past attempts.

A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.

Excellent hand and hand conversation between David Sinclair and Bracken Darrell. David is an expert in longevity and life extension, and Bracken is an experienced successful businessman, CEO of multinational Logitech.

The encounter took place on February 92021, during an online scientific symposium organized by the American Federation of Aging Research (AFAR).

Continue reading “David Sinclair and Bracken Darrell take the stage on aging and life extension (Feb 2021)” »

All governments across the globe are the same they don’t want a free flow of information that would challenge their authority and decisions that they think are good for us, maybe because they want to maintain law and order in society.

I am against the control of social media by the government and I am also against the algorithms which are designed to make people addicted to social media by showing the thing that appeals most to them for profit.

What are your opinions on this topic, how we can achieve the balance between these challenging aspects of social media use?

Continue reading “Social media must not be allowed to destroy democracy, says the EU President” »

A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.

The algorithm, devised by a scientist at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), applies machine learning, the form of artificial intelligence (AI) that learns from experience, to develop the predictions. “Usually in physics, you make observations, create a theory based on those observations, and then use that theory to predict new observations,” said PPPL physicist Hong Qin, author of a paper detailing the concept in Scientific Reports. “What I’m doing is replacing this process with a type of black box that can produce accurate predictions without using a traditional theory or law.”

Qin (pronounced Chin) created a computer program into which he fed data from past observations of the orbits of Mercury, Venus, Earth, Mars, Jupiter, and the dwarf planet Ceres. This program, along with an additional program known as a “serving algorithm,” then made accurate predictions of the orbits of other planets in the solar system without using Newton’s laws of motion and gravitation. “Essentially, I bypassed all the fundamental ingredients of physics. I go directly from data to data,” Qin said. “There is no law of physics in the middle.”

The toolset runs with Q-CTRL’s flagship BOULDER OPAL software for developers and R&D teams, automated closed-loop hardware optimization is also trained to obtain new experimental data/results from quantum computers while simultaneously running optimizations for algorithms. It can be used as a standalone tool or in tandem with a machine-learner online optimization package (M-LOOP) that manages quantum experiments autonomously.

Facebook says that political content currently constitutes only 6% of what people see on the platform. It will begin running experiments to reduce that amount for a small percentage of people in Canada, Brazil and Indonesia immediately, with tests in the U.S. in weeks to come.

The company said it isn’t removing political content but rather exploring ways to reduce the exposure for users who would prefer not to see it. In practice, that means Facebook will still allow users to post about politics and argue among friends, but its algorithms will de-prioritize those conversations and spread them less widely across the network.

Facebook says it is beginning to reduce how much political content users see on its main platform, potentially diminishing the role that the world’s largest social network plays in elections and civil discourse more broadly.