Improved tool to help understand the brain, one section at a time
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In the brain, billions of neurons reach to each other, exchanging information, storing memories, reacting to danger and more. Scientists have barely scratched the surface of the most complex organ, but a new device to automatically collect tissue for analysis may allow for a quicker, deeper dive into the brain. Their approach was published in IEEE/CAA Journal of Automatica Sinica, a joint publication of the IEEE and the Chinese Association of Automation.
Researchers at The University of South Australia have successfully tested a system that can monitor soil moisture using just a standard camera and an AI algorithm. The system holds huge potential as a simple, affordable solution for smart agriculture, allowing for automated, precision irrigation.
A collaboration at Harvard's Wyss Institute for Biologically Inspired Engineering and Harvard Medical School (HMS), and the CIC bioGUNE, a member of the Basque Research and Technology Alliance, in Spain, and the Luxembourg Centre for Systems Biomedicine (LCSB, University of Luxembourg) has developed a computer-guided design tool called IRENE, which significantly helps increase the efficiency of cell conversions by predicting highly effective combinations of cell type-specific TFs.
After solving the elusive "Diophantine equation" for 42, MIT and U of Bristol mathematicians have discovered a new solution for 3.
Researchers at TU Graz demonstrate a new design method for particularly energy-saving artificial neural networks that get by with extremely few signals and - similar to Morse code - also assign meaning to the pauses between the signals.
One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing network - whether this be a road network or the internet. For 40 years, an algorithm has been sought to provide an optimal solution to this problem. Now, computer scientist Christian Wulff-Nilsen of the University of Copenhagen and two research colleagues have come up with a recipe.
An international team of scientists performed theoretical and experimental research on a new high-temperature superconductor, yttrium hydride (YH6). Until 2015, 138 K (or 166 K under pressure) was the record of high-temperature superconductivity. Room-temperature superconductivity, which would have been laughable five years ago, has become a reality. Right now, the whole point is to attain room-temperature superconductivity at lower pressures. Scientists reported that YH6 displays a superconducting transition at ?224 K at 166 GPa.
The researchers have developed a novel connection which can help in the design of more efficient multi-agent AI systems.
University of Tokyo scientists studied the adaptive immune system as a kind of artificial intelligence that can be trained to produce the correct response to invasion by pathogens. This work may lead to more effective vaccines and immune boosting therapies.
A deep-learning algorithm developed by MIT researchers is designed to help machines navigate in the real world, where imperfect or "adversarial" inputs may cause uncertainty.