A new AI acquired humanlike ‘number sense’ on its own0
- From Around the Web, Science & Technology
- May 14, 2019
The neural network developed ‘number neurons’ similar to those in animal brains
The neural network developed ‘number neurons’ similar to those in animal brains
An all-Princeton research team has identified bacteria that can detect the speed of flowing fluids.
Sean McWilliams, an assistant professor at West Virginia University, has developed a mathematical method for calculating black hole properties from gravitational wave data. He has written a paper describing his method and posted it on the arXiv preprint server. The paper has been accepted for publication in Physical Review Letters.
Two interns are prototyping soft robots made using 3D printing and silicon.
A Native American man in Montana has what may be the oldest DNA native to the Americas, according to news reports.
Fictional crash tests the ways that disaster response and space agencies would deal with such a natural disaster
New method cuts through galaxies’ messy emissions, provides clearer window into dark matter, dark energy
Person re-identification entails the automated identification of the same person in multiple images from different cameras and with different backgrounds, angles or positions.
Researchers at the Hebrew University of Jerusalem (HU) have found a way to transform skin cells into the three major stem cell types that comprise early-stage embryos. The work (in mouse cells) has significant implications for modelling embryonic disease and placental dysfunctions, as well as paving the way to create whole embryos from skin cells.
Space experts from several agencies failed to stop an asteroid fragment from wiping out New York City last week.