Lifeboat Foundation

There might be room for everyone, or not. At first glance, the connections between the world’s growing population and climate change seem obvious. The more people we have on this planet, the larger their collective impact on the climate.

The global population is projected to reach 8 billion on 15 November 2022, and India is projected to surpass China as the world’s most populous country in 2023, according to World Population Prospects 2022, released today on World Population Day.

“This year’s World Population Day falls during a milestone year, when we anticipate the birth of the Earth’s eight billionth inhabitant. This is an occasion to celebrate our diversity, recognize our common humanity, and marvel at advancements in health that have extended lifespans and dramatically reduced maternal and child mortality rates,” said UN Secretary-General António Guterres. “At the same time, it is a reminder of our shared responsibility to care for our planet and a moment to reflect on where we still fall short of our commitments to one another,” he added.

Continue reading “World population to reach 8 billion on 15 November 2022” »

About this partnership.

AppHarvest is exploring the future of indoor farming and agriculture technology by using up to 90% less water, human-assisting AI, and the power of the sun for reliable food growth.

The U.S. Department of Energy’s (DOE) Office of Science announced allocations of supercomputer access to 56 high-impact computational science projects for 2023 through its Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. These awards, which will pursue transformational advances in science and engineering, account for 60% of the available time on the leadership-class supercomputers at DOEs Argonne and Oak Ridge national laboratories.

The projects will support a broad range of large-scale research campaigns to advance knowledge in areas ranging from astrophysics to sustainable energy technologies to materials design and discovery.

Jointly managed by the Argonne Leadership Computing Facility (ALCF) and the Oak Ridge Leadership Computing Facility (OLCF), the INCITE program is the primary means by which the facilities fulfill their mission to advance open science by providing the scientific community with access to their powerful supercomputing resources. The ALCF and OLCF are DOE Office of Science user facilities.

With 3,774 days in space under its belt, the solar-powered X-37B has already traveled more than 1.3 billion miles.

After a record-breaking 908 days in orbit for its sixth mission, a U.S. military drone touched down at NASA’s Kennedy Space Center, early on Saturday.

“Since the X-37B’s first launch in 2010, it has shattered records and provided our nation with an unrivaled capability to rapidly test and integrate new space technologies,” stated Jim Chilton, a senior vice president for Boeing, its developer.

Continue reading “US military drone lands safely after spending record-breaking 908 days in space” »

There might be room for everyone, or not.

At first glance, the connections between the world’s growing population and climate change seem obvious. The more people we have on this planet, the larger their collective impact on the climate.

Continue reading “Earth’s population will reach 8 billion next week — here’s what that means for our planet” »

Diehard Elon Musk fans have created a 30-foot-long monument dedicated to their hero – and it cost them over half a million pounds ($600,000).

The unique piece sees the richest man in the world’s head attached to a goat’s body while riding a rocket.

It’s the brainchild of cryptocurrency firm Elon GOAT Token ($EGT), who later this month plan to present it to the billionaire at his Tesla workplace in Austin, Texas.

CAPE CANAVERAL, Fla — An unmanned U.S. military space plane landed early Saturday after spending a record 908 days in orbit for its sixth mission and conducting science experiments.

The solar-powered vehicle, which looks like a miniature space shuttle, landed at NASA’s Kennedy Space Center. Its previous mission lasted 780 days.

Continue reading “Unmanned, solar-powered US space plane back after 908 days” »

Climate TRACE is a global non-profit coalition created to make meaningful climate action faster and easier by independently tracking greenhouse gas (GHG) emissions with unprecedented detail and speed.

They harness satellite imagery and other forms of remote sensing, artificial intelligence, and collective data science expertise to track human-caused GHG emissions with unprecedented detail and speed.

Climate TRACE’s emissions inventory is the world’s first comprehensive accounting of GHG emissions based primarily on direct, independent observation. Our innovative, open, and accessible approach relies on advances in technology to fill critical knowledge gaps for all decision makers that rely on the patchwork system of self-reporting that serves as the basis for most existing emissions inventories.

https://climatetrace.org/map

#climatechange #datascience #greenhousegasemissions

Combinatorial problems often arise in puzzles, origami, and metamaterial design. Such problems have rare collections of solutions that generate intricate and distinct boundaries in configuration space. Using standard statistical and numerical techniques, capturing these boundaries is often quite challenging. Is it possible to flatten a 3D origami piece without causing damage? This question is one such combinatorial issue. As each fold needs to be consistent with flattening, such results are difficult to predict simply by glancing at the design. To answer such questions, the UvA Institute of Physics and the research center AMOLF have shown that researchers may more effectively and precisely respond to such queries by using machine learning techniques.

Despite employing severely undersampled training sets, Convolutional Neural Networks (CNNs) can learn to distinguish these boundaries for metamaterials in minute detail. This raises the possibility of complex material design by indicating that the network infers the underlying combinatorial rules from the sparse training set. The research team thinks this will facilitate the development of sophisticated, functional metamaterials with artificial intelligence. The team’s recent study examined the accuracy of forecasting the characteristics of these combinatorial mechanical metamaterials using artificial intelligence. Their work has also been published in the Physical Review Letters publication.

The attributes of artificial materials, which are engineered materials, are governed by their geometrical structure rather than their chemical makeup. Origami is one such metamaterial. The capacity of an origami piece to flatten is governed by how it is folded, i.e., its structure, and not by the sort of paper it is made of. More generally, the clever design enables us to accurately regulate a metamaterial’s bending, buckling, or bulging. This can be used for many different things, from satellite solar panels that unfurl to shock absorbers.