ROURKELA: A research team from the Civil Engineering department of the National Institute of Technology-Rourkela (NIT-R) has successfully used machine learning ...
About seven years ago, representatives of bKash would visit the company’s agent points and merchant outlets across Bangladesh ...
Ardiana Kajtazi discusses her research identifying organic micropollutants in water using liquid ...
This study evaluates PyCaret's role in predicting compressive strength of compressed earth blocks, highlighting key ...
The RBI is examining proposed models for ‘predictive’ analysis of the markets, particularly the use of AI and machine ...
A beverage company thinks like a startup to maintain a closer connection with its customers. That’s the word from a recent episode of MIT’s and BCG’s Me, Myself, and AI, which featured Ronald den ...
Adopting predictive AI in investment management can be a transformative move for portfolio strategies, albeit one surrounded by hurdles.
One of the biggest obstacles in multi-institutional EHR research is the inconsistency in medical coding systems across ...
Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with ...
Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...
Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...
A new tool that uses information found in patients’ medical records could predict risk for intracranial hemorrhage in ...
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