Lifeboat Foundation

Two ground-breaking NASA missions are coming to an end.

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Meet the Cheetah 3 — a “blind” robot designed by MIT that can avoid obstacles and climb stairs using “feel” instead of sensors or cameras https://cnnmon.ie/2KQiJhD

This is the 427 service to the future of transport.

There wont be any left to do along side them, and that should be the goal.

AI is coming, and it’s changing work as we know it. Adaptation is the only way forward.

July 12 (UPI) — By combining the observations of the two most powerful space telescopes in orbit, scientists have achieved the most precise measurement of the Hubble constant, the universe’s expansion rate.

The new measurement confirms the tension between explosion rate in the early and late universe, researchers report.

Astronomers can measure the expansion of the universe by measuring a galaxy’s redshift, a change in the wavelength of the light due to a change in the velocity of the object. By measuring the redshift of galaxies using the Hubble Telescope, scientists have established the Hubble constant.

Continue reading “Hubble, Gaia produce most precise measure of universe’s expansion rate” »

NASA’s 40-year-old Voyager-1 spacecraft amazes all with ground-breaking new cosmic ray data from interstellar space.

Scientists at the California Institute of Technology can now assess a person’s intelligence in moments with nothing more than a brain scan and an AI algorithm, university officials announced this summer.

Caltech researchers led by Ralph Adolphs, PhD, a professor of psychology, neuroscience and biology and chair of the Caltech Brain Imaging Center, said in a recent study that they, alongside colleagues at Cedars-Sinai Medical Center and the University of Salerno, were successfully able to predict IQ in hundreds of patients from fMRI scans of resting-state brain activity. The work is pending publication in the journal Philosophical Transactions of the Royal Society.

Adolphs and his team collected data from nearly 900 men and women for their research, all of whom were part of the National Institutes of Health (NIH)-driven Human Connectome Project. The researchers trained their machine learning algorithm on the complexities of the human brain by feeding the brain scans and intelligence scores of these hundreds of patients into the algorithm—something that took very little effort on the patients’ end.

Continue reading “Caltech’s new machine learning algorithm predicts IQ from fMRI” »

Neutrino-detecting IceCube teams up with other instruments to study distant galaxy’s “blazar”.