The authors note that large language models, particularly generative systems capable of producing contextualized text, are ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Building an AI-Integrated Braille Recognition Model for Blind Education: From Mechanical Devices to Personalized Learning ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

A recent special article reviewed future applications of visual representations and concepts through artificial intelligence ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform designed to "scan" the molecular features of each patient's cancer. Published ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...