Applications of AI in Business, Industry, Government, Healthcare, and Environment

UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more

Artificial Intelligence in Cyber Security

UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more

Manufacturing and Materials

UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more

Artificial Intelligence for Agriculture

UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more

Artificial Intelligence Index Report 2023 - HAI

Le ‘Human-Centered Artificial Intelligence (HAI, Stanford University) annonce la publication de son rapport annuel « Artificial Intelligence Index Report 2023″ qui rassemble et visualise les tendances relatives à l’intelligence artificielle

Least General Generalizations in Description Logic: Verification and Existence

We study two forms of least general generalizations in description logic, the least common subsumer (LCS) and most specific concept (MSC). While the LCS generalizes from examples that take the form of concepts, the MSC generalizes from individuals in data. Our focus is on the complexity of existence and verification, the latter meaning to decide whether a candidate concept is the LCS or MSC. We consider cases with and without a background TBox and a target signature. Our results range from coNP-complete for LCS and MSC verification in the description logic εℒ without TBoxes to undecidability of LCS and MSC verification and existence in εℒI with TBoxes. To obtain results in the presence of a TBox, we establish a close link between the problems studied in this paper and concept learning from positive and negative examples. We also give a way to regain decidability in εℒI with TBoxes and study single example MSC as a special case

A pervasive assistant for nursing and doctoral staff

This work was carried out within the PINATA project, funded by the Malta Council for Science and Technology (http://www.mcst.org.mt) and done in collaboration with St.James Hospital Malta (http://stjameshospital.com). The project was also supported by the Ministry of Technology (http://www.miti.gov.mt).The goal of health-care institutions is to provide patient- centric health care services. Unfortunately, this goal is frequently undermined due to human-related aspects. The PervasIve Nursing And docToral Assistant (PINATA) provides a patient-centric system powered with Ambience Intelligence techniques and Semantic Web technologies. Through PINATA, the movement of patients and medical staff is tracked via RFID sensors while an automated camera system monitors the interaction of people within their environment. The system reacts to particular situations autonomously by directing medical staff towards emergencies in a timely manner and providing them with just the information they require on their handheld devices. This ensures that patients are given the best care possible on a 24/7 basis especially when the medical staff is not around.peer-reviewe