Tag Archives: Machine Learning

Machine learning picks out hidden vibrations from earthquake data

by Jennifer Chu, Massachusetts Institute of Technology, Phys.org

Over the last century, scientists have developed methods to map the structures within the Earth’s crust, in order to identify resources such as oil reserves, geothermal sources, and, more recently, reservoirs where excess carbon dioxide could potentially be sequestered. They do so by tracking seismic waves that are produced naturally by earthquakes or artificially via explosives or underwater air guns. The way these waves bounce and scatter through the Earth can give scientists an idea of the type of structures that lie beneath the surface.

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When that ‘AI company’ isn’t really an AI company

by Devin Coldewey, TechCrunch

Artificial intelligence is one of the most important fields in technology right now, which makes it ripe for buzzword-savvy startups to leverage for attention. But while machine learning and related technologies are now frequently employed, it’s less common that it’s central to a company’s strategy and IP.

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Artificial Intelligence System Learns the Fundamental Laws of Quantum Mechanics

by University of Warwick, SciTechDaily

Artificial Intelligence can be used to predict molecular wave functions and the electronic properties of molecules. This innovative AI method developed by a team of researchers at the University of Warwick, the Technical University of Berlin and the University of Luxembourg, could be used to speed-up the design of drug molecules or new materials.

Artificial Intelligence and machine learning algorithms are routinely used to predict our purchasing behavior and to recognize our faces or handwriting. In scientific research, Artificial Intelligence is establishing itself as a crucial tool for scientific discovery.

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6 areas of AI and machine learning to watch closely

by Nathan Benaich, Medium

Distilling a generally-accepted definition of what qualifies as artificial intelligence (AI) has become a revived topic of debate in recent times. Some have rebranded AI as “cognitive computing” or “machine intelligence”, while others incorrectly interchange AI with “machine learning”. This is in part because AI is not one technology. It is in fact a broad field constituted of many disciplines, ranging from robotics to machine learning. The ultimate goal of AI, most of us affirm, is to build machines capable of performing tasks and cognitive functions that are otherwise only within the scope of human intelligence. In order to get there, machines must be able to learn these capabilities automatically instead of having each of them be explicitly programmed end-to-end. Continue reading 6 areas of AI and machine learning to watch closely

Smart buildings predict when critical systems are about to fail

by Chris Baraniuk, New Scientist

Imagine a building that tells you – before it happens – that the heating is about to fail. Some companies are using machine learning to do just that. It’s called predictive maintenance.

Software firm CGnal, based in Milan, Italy, recently analysed a year’s worth of data from the heating and ventilation units in an Italian hospital. Sensors are now commonly built into heating, ventilation and air conditioning units, and the team had records such as temperature, humidity and electricity use, relating to appliances in operating theatres and first aid rooms as well as corridors. Continue reading Smart buildings predict when critical systems are about to fail