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.

By: ASRAF UDDIN AHMED