Tag: artificial intelligence

Artificial intelligence methods are inherently statistical in nature

April 14, 2024

Since 2018, there has been accelerating growth of applications of all kinds of artificial intelligence methods in various branches of scientific research. This has led to the use of data driven approaches in research. But, why is there a need for large amount of data to train artificial intelligence (AI) models? The answer is that … More Artificial intelligence methods are inherently statistical in nature

Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

January 5, 2024

Video conferencing has become an important tool for learning and conducting business meetings in the modern world. However, not all participants in the meeting are using high end computers with good graphics or video cards. Hence, how does the video conferencing software help ensure that an acceptable quality of video feed is available for all … More Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

September 24, 2023

Video conferencing has become an important tool for learning and conducting business meetings in the modern world. However, not all participants in the meeting are using high end computers with good graphics or video cards. Hence, how does the video conferencing software help ensure that an acceptable quality of video feed is available for all … More Artificial intelligence algorithms are able to upscale low resolution video feed into high resolution videos

Modern optical microscopy is increasing moving towards high content screening applications

July 17, 2023

Conventional microscopy techniques tend to be time consuming as researchers uses different magnification to search for regions of interest on the glass slide. Naturally, the larger the sample or specimen, the more regions of interest need to be searched, which increases the analysis time. But, there is a trend in modern optical microscopy where artificial … More Modern optical microscopy is increasing moving towards high content screening applications

Personalized medicine is about tailoring treatments for patients using insights from large cohort studies

April 23, 2022

Personalized medicine has been increasingly described as the next epoch in medical treatment. However, it has faced particular challenges in its implementation and adoption around the world. Chief amongst those is the high cost of developing individualized treatments for patients, particularly for rare and orphan diseases. Possibility exists for a change if we take another … More Personalized medicine is about tailoring treatments for patients using insights from large cohort studies

Machine learning helps build models that describes the fundamental underpinnings of a system

September 18, 2020

Artificial intelligence has been applied in many areas of science, engineering and medicine. For example, machine learning algorithms have been utilized to formulate recipes for the synthesis of metal organic frameworks adsorbents as well as develop screening tools for the automated diagnosis of abnormalities in mammograms. Central to these applications is the ability of machine … More Machine learning helps build models that describes the fundamental underpinnings of a system

Artificial intelligence models are specific for a problem and only gain some generality with transfer learning

July 13, 2020

Artificial intelligence has gradually walked into our life, for example, in medical diagnosis and facial recognition. While machine learning and artificial intelligence may seem to be general in analysis, they are in fact specific to the problem being addressed, and could not be transferred to another problem. This comes about due to the fact that … More Artificial intelligence models are specific for a problem and only gain some generality with transfer learning

Artificial intelligence learning algorithms that are able to transfer between different models are of keen research interest

August 18, 2019

Machine learning algorithms based on artificial intelligence find increasing use in many aspects of society such as medicine and data processing. For example, after training on a set of data, artificial intelligence-based machine learning algorithms would be able to use pattern recognition to infer possible characteristics present in mammograms. This helps in disease screening and … More Artificial intelligence learning algorithms that are able to transfer between different models are of keen research interest

Emergence of artificial intelligence that relies only on small amount of data for training

July 7, 2019

The human mind only requires small amount of data (whether audio, visual or a combination of both) for learning. Current artificial intelligence (AI) systems, however, requires large dataset for training purposes. Specifically, large dataset helps AI algorithms find patterns amongst individual data element to help develop generalizable rules useful for decision making. For example, a … More Emergence of artificial intelligence that relies only on small amount of data for training

Failed experiments represent a source of training data for machine learning

April 10, 2019

Machine learning relies on training data to derive patterns useful for making predictions in test set data. Iterative in nature, training of machine learning algorithms relies on large amount of data where the larger the training set, the better would be the pattern recognition capability of the algorithm. Most training data are positive data, that … More Failed experiments represent a source of training data for machine learning