In 2014, the average SAT test taker correctly answered answered 49 percent of the test's math questions. Today, a new software program is now close to doing the same. In a paper published Monday, researchers at the Allen Institute for Artificial Intelligence (AI2) and the University of Washington revealed that their artificial intelligence (AI) system, known as GeoSolver, or GeoS for short, is able to answer "unseen and unaltered" geometry problems on par with humans. According to a report released by College Board, the average SAT math score in 2014 was 513. Though GeoS has only been tested on geometry questions, if the system's accuracy was extrapolated, GeoS would have scored a 500.
A small group of photographers have turned their lenses on the urban landscape, seeking to capture the beauty of the architecture around us. The images explore the idea of sacred geometries, the perfect mix of proportion and mathematical ratios that are pleasing to the eye and a reflection of those found in nature. The pictures can be seen at the Anise Gallery in London until 15 April 2017.
Geometries are the glues that hold together geospatial data. They form an integral part of any spatial data processing. In this tutorial, I will go through some of the different types of geometries available in Postgis. We also touch on some of the most used functions with real-world data examples. In my last article, I explained how to install PostgreSQL and activate Postgis extensions.
Scientists have revealed an artificial intelligence (AI) system that can solve SAT geometry questions as well as the average American 11th-grade student. Called GeoS, it uses a combination of computer vision to interpret diagrams, natural language processing to read and understand text and a geometric solver to achieve 49 percent accuracy on official SAT test questions. If these results were extrapolated to the entire Math SAT test, the computer achieved an SAT score of 500 (out of 800), the average test score for 2015, the team behind it say. The system uses a combination of computer vision, natural language processing and a geometric solver to achieve 49 percent accuracy on official SAT test questions. GeoS is the first end-to-end system that solves SAT plane geometry problems.