Lifeboat Foundation

New models that show how the continents were assembled are providing fresh insights into the history of the Earth and will help provide a better understanding of natural hazards like earthquakes and volcanoes.

“We looked at the current knowledge of the configuration of plate boundary zones and the past construction of the continental crust,” said Dr. Derrick Hasterok, Lecturer, Department of Earth Sciences, University of Adelaide who led the team that produced the new models.

Continue reading “New Understanding of Earth’s Architecture: Updated Maps of Tectonic Plates” »

Scientists have created the first reference charts for the human brain, mapping its growth from infancy to 100 years old. Now, they have to grapple with difficult ethical questions about how they should — and perhaps shouldn’t — be used.

The reference charts are visualizations created from aggregating analyses of over 120,000 brain scans to show ranges in brain size, or gray matter volume, for each age. They also track the human brain’s rapid expansion early in life and its gradual shrinking over time. The researchers primarily developed the charts to provide a standardized measurement that other neuroscientists could use for brain imaging research, with the hope that maybe one day it could lead to a tool used in clinics.

“It’s an absolutely spectacular advancement in neuroscience and neuroimaging,” said Judy Illes, professor of neurology and neuroethics at the University of British Columbia.

Shield AI, an artificial intelligence company focusing on drones and other autonomous aircraft, is on a mission to build “the world’s best AI pilot.” To that end, the San Diego startup has raised $90 million in equity and $75 million in debt as part of a Series E fundraising round. The funding values Shield AI at $2.3 billion.

Hivemind employs state-of-the-art algorithms for planning, mapping, and state-estimation to enable drones to execute dynamic flight maneuvers. On aircraft, Hivemind enables full autonomy and is designed to run fully on the edge, disconnected from the cloud, in high-threat GPS and communication-degraded environments.

Scientists are attempting to map the wiring of the nearly 100 billion neurons in the human brain. Are we close to uncovering the mysteries of the mind or are we only at the beginning of a new frontier?

PARTICIPANTS: Deanna Barch, Jeff Lichtman, Nim Tottenham, David Van Essen.
MODERATOR: John Hockenberry.
Original program date: JUNE 4, 2017

Continue reading “Cartographers of the Brain: Mapping the Connectome” »

Google’s AI division is creating digital versions of – normally hand-drawn – maps of electricity cables, in a move that could benefit the global utility industry.

The firm’s DeepMind engineers have partnered with UK Power Networks which delivers electricity across London, the East and South East, to create digital versions of maps covering more than 180,000km of electricity cables.

The work involves new image recognition software scanning thousands of maps – some of which date back decades – and automatically remastering them into a digital format for future use.

A team of researchers from the University of Shanghai for Science and Technology and the University of Dayton has developed a way to bend light into a vortex ring using mirrors, lasers and lenses. In their study, published in the journal Nature Photonics, the group built on work done by other teams in which vortex rings were observed incidentally, and then mathematically designed a system that could generate them on demand.

In 2016, another team of researchers discovered that under the right circumstances, strong pulses of light swirling around a central pipe-shaped pulse, could sometimes form into a donut-shaped vortex. Intrigued by the finding, the researchers with this new effort began to wonder if it might be possible to create such vortex rings on demand.

They started by studying the properties and conditions that had led to the formations observed by the team in 2016 and applied mathematics to the problem. They found solutions that appeared to show how such rings could be made—solutions to Maxwell’s equations, in particular, they found, could be used to generate the kind of conformal mapping required.

Scientists have measured an upper-bound to the size of the Universe using the Cosmic Microwave Background (CMB) temperature gradient field [1]. The results show that the universe is most likely multiply connected, which means that it is finite, and the topology is such that it closes back in on itself—such that on the largest scale the universe has the geometry of a torus (and has a global positive curvature). This is contrary to the conventional cosmological models of the universe that model it as spatially infinite and topologically flat—assumed parameters that the researchers of the latest study demonstrate do not match the CMB temperature gradient data.

If the universe were spatially infinite and topologically flat, then the temperature fluctuations seen in the CMB would occur across all size scales—however this is not what is observed in the data. If, instead, the universe has a finite size and a multiply connected topology, like that of a torus, then in the early universe when the CMB was first emitted temperature fluctuations would be restricted in size since they could not be larger than the universe at that time. This would be observable in the extant CMB temperature gradient as a specific wave-length cut-off, which has now been described and demonstrated in a comprehensive analysis of the observed Planck CMB maps.

One of the researchers on the team that performed the study— astrophysicist Thomas Buchert, of the University of Lyon, Astrophysical Research Center in France— told Live Science in an email “We could say: Now we know the size of the universe” [2]. As reported by Live Science, Buchert further explained “In an infinite space, the perturbations in the temperature of the CMB radiation exist on all scales. If, however, space is finite, then there are those wavelengths missing that are larger than the size of the space.”

A novel algorithm developed by University of Washington researchers to discover asteroids in the solar system has proved its mettle. The first candidate asteroids identified by the algorithm — known as Tracklet-less Heliocentric Orbit Recovery, or THOR — have been confirmed by the International Astronomical Union’s Minor Planet Center.

The Asteroid Institute, a program of B612 Foundation, has been running THOR on its cloud-based astrodynamics platform — Asteroid Discovery Analysis and Mapping, or ADAM — to identify and track asteroids. With confirmation of these new asteroids by the Minor Planet Center and their addition to its registry, researchers using the Asteroid Institute’s resources can submit thousands of additional new discoveries.

Continue reading “UW-developed, cloud-based astrodynamics platform to discover and track asteroids” »

Astronomers have used a cloud-based technique pioneered at the University of Washington to identify and track asteroids in bunches of a hundred or more. Their achievement could dramatically accelerate the quest to find potentially threatening space rocks.

The technique makes use of a cloud-based, open-source analysis platform known as Asteroid Discovery Analysis and Mapping, or ADAM; plus a recently developed algorithm called Tracklet-less Heliocentric Orbit Recovery, or THOR. The THOR algorithm was created by Joachim Moeyens, an Asteroid Institute Fellow at UW; and Mario Juric, director of UW’s DiRAC Institute.

Continue reading “Astronomers demonstrate how using the cloud can rev up the rate of discovery for asteroids” »