Seti using #AI to find ET.
Join IBM’s Graham Mackintosh, SETI Institute CEO Bill Diamond, and SETI Institute Board of Trustees member Jonathan Knowles as we talk about using machine learning to help better understand the volumes of data collected by the SETI Institute Allen Telescope Array.
I wonder if people who were alive when Galileo first turned his telescope to the heavens in 1610, when he discovered the moons of Jupiter, realized that it was a seminal moment in human history. The discovery changed everything. It showed that not all celestial objects orbit the Earth and set the stage for adoption of the Copernican theory, which holds, of course, that the Earth orbits the sun and not the other way around. From that date onward, telescopes aimed at the sky became a staple of cosmology and a constant source of discovery and wonder for humanity.
It’s quite possible that people living in the distant future will view last year’s announcement of the discovery of gravitational waves as a similar turning point in humanity’s ability to observe and understand the cosmos.
Related: Earth-Sized Telescope May Let Us See Black Hole for First Time.
Machine learning algorithms and artificial intelligence systems influence many aspects of people’s lives: news articles, movies to watch, people to spend time with, access to credit, and even the investment of capital. Algorithms have been empowered to make such decisions and take actions for the sake of efficiency and speed. Despite these gains, there are concerns about the rapid automation of jobs (even such jobs as journalism and radiology). A better understanding of attitudes toward and interactions with algorithms is essential precisely because of the aura of objectivity and infallibility cultures tend to ascribe to them. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems. This report highlights the added risks and complexities inherent in the use of algorithmic decisionmaking in public policy. The report ends with a survey of approaches for combating these problems.
April 12 (UPI) — A new composite image captured by researchers at the University of Waterloo in Ontario, Canada, offers proof galaxies are connected by a web of dark matter.
The universe’s cosmic web of dark matter has remained elusive, but Waterloo researchers were able to tease out its existence by tracing a weak gravitational lensing.
Typically, astronomers used gravitational lensing events to study the light from distant galaxies as the beams are warped by massive galactic structures. But the gravity of smaller cosmic objects can bend light, too — including strands of dark matter.
If it can figure out what you’re trying to draw, that is.
Jamie Condliffe
DNA protects itself from damage naturally, and scientists are hoping to gain insight into how the process works. When DNA is bathed in ultraviolet light, it can eject a single proton from a hydrogen atom to rid itself of excess energy, ensuring other chemical bonds remain intact. This protective mechanism is called an excited state proton transfer, and it is the focus of new research by a team of scientists.
The researchers used the Linac Coherent Light Source (LCLS) at the SLAC National Accelerator Laboratory to generate X-ray laser pulses capable of probing the nitrogen molecule — in the simple molecule 2-thiopyridone — for quadrillionths of a second. The short period of time matters because when molecules are exposed to this kind of light they react incredibly quickly. The brightness of the light is equally important, because only very brilliant illumination renders these ultrafast changes visible to the researchers.
