Lifeboat Foundation

What you get, starting out in this video, is that algorithms impact our lives in, as CSAIL grad student Sandeep Silwal puts it, “silent ways”

Silwal uses a simple example – maps – in discussing what he calls the “marriage of provable algorithm design and machine learning.”

Lots of people, he notes, want to move from the area around MIT, south across the Charles to Fenway Park, to see the Red Sox.

Continue reading “Algorithms Can Learn, And They Probably Should: Saving Resources For The Future” »

Scientists have constructed a comprehensive set of functional maps of infant brain networks, providing unprecedented details on brain development from birth to two years old.

The infant brain cortex parcellation maps, published today in eLife, have already provided novel insights into when different brain functions develop during infancy and provide valuable, publicly available references for early brain developmental studies.

Cortical parcellation is a means of studying brain function by dividing up cortical gray matter in different locations into “parcels.” Scans from functional magnetic resonance imaging (fMRI) are taken when the brain is in an inactive “resting” state, alongside measurements of brain connectivity, to study brain function within each parcel.

Knowing a little about the local connections on flight maps and other networks can reveal a lot about a system’s global structure.

For over a hundred years, scientists have held the belief that our thoughts, feelings, and dreams are shaped by the way various brain regions interact via a vast network of trillions of cellular connections.

However, a recent study led by the team at Monash University’s Turner Institute for Brain and Mental Health has examined more than 10,000 distinct maps of human brain activity and discovered that the overall shape of an individual’s brain has a much more substantial impact on our cognitive processes, emotions, and behavior than its intricate neuronal connectivity.

The study, recently published in the prestigious journal, Nature draws together approaches from physics, neuroscience, and psychology to overturn the century-old paradigm emphasizing the importance of complex brain connectivity, instead identifying a previously unappreciated relationship between brain shape and activity.

A researcher has used the technique of chemical mapping to study the spiral arms of our home galaxy: the Milky Way. According to Keith Hawkins, assistant professor at The University of Texas at Austin, chemical cartography might help us better grasp the structure and evolution of our galaxy.

“Much like the early explorers, who created better and better maps of our world, we are now creating better and better maps of the Milky Way,” mentioned Hawkins in an official release.

NASA/JPL-Caltech.

Continue reading “Scientists use chemical mapping to study the spiraling arms of the Milky Way” »

Identifying regions of the Milky Way’s spiral arms that have previously gone undetected.

New mapping effort, using spatial technology, reveals the organization of the human intestine at single-cell resolution for the first time.

During routine navigation in daily life, our brains use spatial mapping and memory to guide us from point A to point B. Just as routine: making a mistake in navigation that requires a course correction.

Now, researchers at Harvard Medical School have identified a specific group of neurons in a brain region involved in navigation that undergo bursts of activity when mice running a maze veer off course and correct their error.

The findings, published July 19 in Nature, bring scientists a step closer to understanding how navigation works, while raising new questions. These questions include the specific role these neurons play during navigation, and what they are doing in other brain regions where they are found.

Researchers from Carnegie Mellon University have developed a new technique that could lead to faster and more efficient drone exploration.

A team of researchers from Carnegie Mellon University has successfully developed a new dual-mapping technique that could help robots explore areas faster and more efficiently. By producing both a site’s high-and low-resolution map, this new technique enables robots to explore areas using only a fraction of the computing power typically needed for a similar task.

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