CrysXPP (Machine learning)

In News

• Recently, Researchers from IIT Kharagpur in collaboration with the Indo-Korea Science and Technology Center (IKST) have developed a method called CrysXPP to predict the properties of crystalline materials through machine learning.

About CrysXPP

• CrysXPP: It is a machine learning system that enables rapid prediction of various material properties with high precision.

Machine learning

• Meaning
  • Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.
  • Machine learning algorithms use historical data as input to predict new output values.
• Applications
  • Recommendation engines are a common use case for machine learning.
  • Other popular uses include fraud detection, spam filtering, malware threat detection, business process automation (BPA) and Predictive maintenance.
• Advantages
  • It gives enterprises a view of trends in customer behaviour and business operational patterns, as well as supports the development of new products.
  • Many of today’s leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations.
  • Machine learning has become a significant competitive differentiator for many companies.
• Disadvantages
  • It can be expensive. Machine learning projects are typically driven by data scientists, who command high salaries.
  • These projects also require software infrastructure that can be expensive.
  • Algorithms trained on data sets that exclude certain populations or contain errors can lead to inaccurate models of the world that, at best, fail and, at worst, are discriminatory.

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