September 2020

Machine Learning and its Emergence in the Modern World and its Contribution to Artificial Intelligence

Machine Learning and its Emergence in the Modern World and its Contribution to Artificial Intelligence

Abstract Machine learning is known as the scientific study of various algorithms and statistics as well as models that can be used to create or perform certain tasks. These tasks […]

Machine Learning and its Emergence in the Modern World and its Contribution to Artificial Intelligence Read More »

Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact

Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact

Abstract This paper provides an overview of the current and near-future applications of Artificial Intelligence (AI) in Medicine and Health Care and presents a classification according to their ethical and

Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact Read More »

Socially Assistive Robots for Older Adults and People with Autism: An Overview

Socially Assistive Robots for Older Adults and People with Autism: An Overview

Abstract Over one billion people in the world suffer from some form of disability. Nevertheless, according to the World Health Organization, people with disabilities are particularly vulnerable to deficiencies in

Socially Assistive Robots for Older Adults and People with Autism: An Overview Read More »

COLLAGE INFERENCE: USING CODED REDUNDANCY FOR LOW VARIANCE DISTRIBUTED IMAGE CLASSIFICATION

COLLAGE INFERENCE: USING CODED REDUNDANCY FOR LOW VARIANCE DISTRIBUTED IMAGE CLASSIFICATION

ABSTRACT MLaaS (ML-as-a-Service) offerings by cloud computing platforms are becoming increasingly popular. Hosting pre-trained machine learning models in the cloud enables elastic scalability as the demand grows. But providing low

COLLAGE INFERENCE: USING CODED REDUNDANCY FOR LOW VARIANCE DISTRIBUTED IMAGE CLASSIFICATION Read More »

Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles

Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles

Abstract The intervention of AI technology and self-driving vehicles changed transportation systems. The current self-driving vehicles demand reliable and accurate information from various functional modules. One of the major modules

Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles Read More »