Lifeboat Foundation: Safeguarding Humanity
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Category: science – Page 20

We are in the middle of a data-driven science boom. Huge, complex data sets, often with large numbers of individually measured and annotated ‘features’, are fodder for voracious artificial intelligence (AI) and machine-learning systems, with details of new applications being published almost daily.

But publication in itself is not synonymous with factuality. Just because a paper, method or data set is published does not mean that it is correct and free from mistakes. Without checking for accuracy and validity before using these resources, scientists will surely encounter errors. In fact, they already have.

In the past few months, members of our bioinformatics and systems-biology laboratory have reviewed state-of-the-art machine-learning methods for predicting the metabolic pathways that metabolites belong to, on the basis of the molecules’ chemical structures1. We wanted to find, implement and potentially improve the best methods for identifying how metabolic pathways are perturbed under different conditions: for instance, in diseased versus normal tissues.

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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.

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

“You need to go back hundreds of million years to understand the full picture of life,” he said. “Fossils are the database for deep-time studies.”

Paleontology may be a look back into the deep past, but it also plays a role in our future.

“Paleontology, and dinosaurs in particular, is a fantastic gateway into science, because all kids are interested in dinosaurs,” Storrs said. “It’s great if they go on to become scientists, but at the very least, they can be part of an informed citizenry that has a basic knowledge of the world and how science operates, because there’s always going to be questions about vaccines for example, or evolution, or climate change. Science plays a huge role in our world today.”

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Stepping inside Erin Adams’ lab at the University of Chicago is a bit overstimulating.

Adams’ work centers on molecular immunology. As the Joseph Regenstein Professor of Biochemistry and Molecular Biology and vice provost for research, she researches the molecular signals that the immune system uses to distinguish between healthy and unhealthy tissue.

And her lab is expansive. It includes a tissue culture lab space—where she and her team of postdoctoral fellows work with cells to try to recapitulate things. Then there’s the crystal room where one can find hundreds of labeled wells filled with proteins that are being watched to see if three-dimensional crystals materialize.

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The Defense Advanced Research Projects Agency launched a second iteration of its Tools Competition to discover artificial intelligence-enabled technologies that can aid data science and other forms of adult learning.

The agency said Monday that the new program aims to upskill and reskill adults in science, technology, engineering and mathematics and similarly complex areas, preparing them for the 21st century labor landscape.

The opportunity is open to digital learning platform experts, technologists, researchers, students and educators who can propose AI tools that can provide feature tutoring and self-directed learning. The resulting platform may leverage AI or large language models.

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Over ten years ago, the Dark Energy Survey (DES) began mapping the universe to find evidence that could help us understand the nature of the mysterious phenomenon known as dark energy. I’m one of more than 100 contributing scientists that have helped produce the final DES measurement, which has just been released at the 243rd American Astronomical Society meeting in New Orleans.

Dark energy is estimated to make up nearly 70% of the , yet we still don’t understand what it is. While its nature remains mysterious, the impact of dark energy is felt on grand scales. Its primary effect is to drive the accelerating expansion of the universe.

The announcement in New Orleans may take us closer to a better understanding of this form of energy. Among other things, it gives us the opportunity to test our observations against an idea called the cosmological constant that was introduced by Albert Einstein in 1917 as a way of counteracting the effects of gravity in his equations to achieve a universe that was neither expanding nor contracting. Einstein later removed it from his calculations.

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