chemical analysis
Machine learning enhances chemical analysis at the nanoscale
Introducing a non-negative matrix factorization based pan-sharpening (PSNMF) method to determine chemical compositions from noisy x-ray spectroscopy data. "Nanomaterials" is a broad term used to describe chemical substances or materials in which a single unit is sized between 1 and 100 nanometers (a nanometer is a billionth of a meter). They include exotic materials such as carbon nanotubes, silver nanoparticles (used as antimicrobials), nanoporous materials, and many types of catalysts used for efficiently driving chemical reactions. Nanomaterials are currently used in a wide range of fields, from medicine to electronics, which means that the ability to determine their exact chemical composition is essential. Nonetheless, this proves challenging, because traditional methods for analyzing nanomaterials tend to be susceptible to low signal-to-noise ratios.
AI And Farming: How IBM Is Bringing Cutting-Edge Technology To One Of The World's Oldest Industries
"If agriculture goes wrong, nothing else will have a chance to go right in the country" M. S. Swaminathan Agriculture has evolved with mankind through centuries. Today, agriculture contributes 3.8% to the world's GDP, although the contribution of individual nations across the spectrum varies widely, between 0%-60%. Over the years, while its share in the world economy has reduced vis-à-vis manufacturing and services, the importance of agriculture hasn't. The demand for food is never ending and is projected to increase by 70% by 2050 with limited natural resources at disposal. This situation throws up unique challenges; advanced technologies may be a solution.
- Asia > India (0.09)
- South America > Brazil (0.05)
Professor Brian Cox thinks life may be found on Mars
Future missions to Mars, like the one planned by Nasa for 2020, have a'high chance' of finding microbial life, according to Professor Brian Cox. The physicist, best known for presenting Stargazing Live and Wonders of the Universe, says that these organisms may be more common than we might think in our solar system. Civilisations are another matter, he believes, and it may still be the case that we are alone in the universe as its only advanced intelligence. Future missions to Mars, like the one planned by Nasa for 2020, have a'high chance' of finding microbial life, according to Professor Brian Cox. Finding evidence of life on Mars will almost certainly involve a rover, and scientists admit it will be tough.
- North America > United States (0.60)
- Arctic Ocean (0.05)
- Government > Space Agency (0.74)
- Government > Regional Government > North America Government > United States Government (0.60)
Dimension Reduction and Intuitive Feature Engineering for Machine Learning
In the previous parts of this series, we looked at an overview of some popular tricks for feature engineering, and examined those tricks in greater detail. In this part, we continue our closer examination of these approaches with a deeper dive into the final techniques described in Part 1. The examples discussed in this article can be reproduced with the source code and datasets available here. As an analyst, you savor the scenario in which you have a lot of data. But, with a lot of data comes the added complexity of analyzing and making better sense of that data.
Dimension Reduction and Intuitive Feature Engineering for Machine Learning
In the previous parts of this series, we looked at an overview of some popular tricks for feature engineering, and examined those tricks in greater detail. In this part, we continue our closer examination of these approaches with a deeper dive into the final techniques described in Part 1. The examples discussed in this article can be reproduced with the source code and datasets available here. As an analyst, you savor the scenario in which you have a lot of data. But, with a lot of data comes the added complexity of analyzing and making better sense of that data.
Researches identify medicinal plants using machine learning approach
Chemists and mathematicians from the Skolkovo Institute of Science and Technology (Skoltech) and Moscow State Universite (MSU) have suggested checking the composition of medical plants by means of machine learning technologies, the Skoltech press service said. They have come up with automatizing computer assisted data analysis based on high-performance liquid chromatography and mass spectrometry. "Machine learning is when a computer can be taught to analyze the chemical composition of herbal medicine based on the previously known data on chemical analysis," Skoltech said. According to the researchers, the market of herbal remedies has been rapidly developing in the recent years, as it provides an alternative to synthetic drugs. But there are still no existing effective methods of plant material quality control.