Lifeboat Foundation

How can back-to-back atmospheric rivers impact the economy? This is what a recent study published in Science Advances hopes to address as a team of researchers led by Stanford University investigates the economic toll of back-to-back atmospheric rivers compared to single events. This study holds the potential to help scientists, the public, and city planners better prepare for atmospheric rivers, as they can cause widespread flooding in short periods of time.

For the study, the researchers analyzed data from the Modern-Era Retrospective Analysis for Research and Applications, version 2, (MERRA-2) between 1981 and 2021 and computer algorithms to ascertain the economic impact of atmospheric rivers throughout California. The goal was to ascertain how much worse back-to-back atmospheric rivers were compared to single events. The study’s findings discovered that back-to-back atmospheric rivers caused three times greater economic damage than single events, which is also higher when the first atmospheric river exhibits greater strength.

“Our work really shows that we need to consider the likelihood for multiple, back-to-back events for predicting damages, because damage from multiple events could be far worse than from one event alone,” said Dr. Katy Serafin, who is a coastal scientists and assistant professor in the Department of Geography at the University of Florida and a co-author on the study.

We are witnessing a professional revolution where the boundaries between man and machine slowly fade away, giving rise to innovative collaboration.

Photo by Mateusz Kitka (Pexels)

As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.

As creator of the ETER9 Project ⁽²⁾, I perceive AI not only as a disruptive force but also as a powerful tool to shape a more efficient, innovative, and inclusive future. As we move forward in this new world, it’s crucial for each of us to contribute to building a professional environment that celebrates the interplay between humanity and technology, where the potential of AI is realized for the benefit of all.

In the ETER9 Project, dedicated to exploring the interaction between artificial intelligences and humans, I have gained unique insights into the transformative potential of AI. Reflecting on the future of professions, it’s evident that adaptability and a profound understanding of technological dynamics will be crucial to navigate this new landscape.

Continue reading “The Professions of the Future (1)” »

Beijing is pushing a ‘whole-of-the-nation’ approach to focus resources on tech breakthroughs in key areas amid rising pressure from the US.

The ability of living systems to process signals and information is of vital importance. Inspired by nature, Wang and Cichos show an experimental realization of a physical reservoir computer using self-propelled active microparticles to predict chaotic time series such as the Mackey–Glass and Lorenz series.

Two mathematicians have shown that origami can, in principle, be used to perform any possible computation.

Ok… here we go again! (Yes, this is real. Already being tested in full wafers.)

Neuralink, led by Elon Musk, has accomplished a major feat by implanting a brain chip in a human for the first time. Discover the groundbreaking advancements in brain-computer interfaces.

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I designed my own 16-Bit Computer in Microsoft Excel without using Visual Basic scripts, plugins, or anything other than plain Excel. This system on a spreadsheet is based off of a custom Instruction Set Architecture that has a total of 23 instruction mnemonics and 26 opcodes.

Continue reading “I built my own 16-Bit CPU in Excel” »

With a quick pulse of light, researchers can now find and erase errors in real time.

Researchers have developed a method that can reveal the location of errors in quantum computers, making them up to ten times easier to correct. This will significantly accelerate progress towards large-scale quantum computers capable of tackling the world’s most challenging computational problems, the researchers said.

Led by Princeton University ’s Jeff Thompson, the team demonstrated a way to identify when errors occur in quantum computers more easily than ever before. This is a new direction for research into quantum computing hardware, which more often seeks to simply lower the probability of an error occurring in the first place.