Artificial Intelligence Course Design: iSTREAM-based Visual Cognitive Smart Vehicles

The emerging development in smart vehicles has improved transportation seamlessly. This paper deals with incorporating the modern technologies like Artificial Intelligence and Internet of Things(IoT) with the traditional transportation system. It states how AI algorithms can be integrated with IoT powered vehicles to manage and avoid crashing with idle vehicles on a speedway and assists for safer driving using the traffic symbol analysis to reduce accidents. Several communication standards for data transmission between the vehicle and control system has been stated. It also provides additional features like emergency or assistance for vehicles in speedway. It uses complex learning and analysis algorithms to improve the efficiency of driving and reduce rear-end collisions. This paper hence gives a comprehensive survey of the enabling technologies, protocols, and architecture for IoT powered transport.

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A Model to Introduce Medical Students to the Use of Artificial Intelligence and Genomics for Precision Medicine

10.1101/2021.05.13.21255493 ◽

2021 ◽

Author(s):

Philip O Alderson ◽

Maureen J Donlin ◽

Lynda A Morrison

Keyword(s):

Artificial Intelligence ◽

Active Learning ◽

Precision Medicine ◽

Course Design ◽

First Year ◽

Use Case ◽

Gene Variants ◽

First Year Students ◽

Elective Course ◽

Second Year

Objective: Despite the significant medical impact of artificial intelligence (AI) in healthcare, emergence of AI-related topics in medical curricula has been slow. The authors sought to introduce pre-clinical students to the importance of AI methodologies and medical applications using modular short courses focused on active learning with precision medicine as a primary use case. Materials and Methods: A short elective course was designed to introduce first-year students to how various bioinformatic and AI-related processes work and how they help classify medical data, facilitate genomic analysis and predict clinical outcomes. The course covers gene sequencing and variants, neural networks, natural language processing, medical computer vision and the limitations and ethical concerns related to use of AI in precision medicine. Online content serves as major source material. After a faculty-led introduction, sessions focus on teams of students who present course content to one another and lead discussions with faculty guidance. A related short AI course focused on gene variants was given to the entire second-year class. Results: The elective course has been taken by 74 first- year students over 8 consecutive semesters (2017-2021). The course achieved average satisfaction scores of 4.4/5.0 (n = 13) when the active learning approach became dominant in 2018. Students were able to describe accurately how bioinformatics and AI make personalized medicine possible. Students also did well on the gene variants exercise given to the entire second year class (2018), but the full class short AI course was not continued in subsequent years. Students have created a school-approved interest group in medical AI. Conclusions: This experience shows that AI-related materials can be sustainably introduced into pre-clinical medical education with precision medicine as the primary use case. This modular course design and content could be adapted easily for educational use in medical subspecialties and other health professions.

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Application of Virtual Reality Technology in Film and Television Animation Based on Artificial Intelligence Background

Scientific Programming ◽

10.1155/2022/2604408 ◽

2022 ◽

Vol 2022 ◽

pp. 1-8

Author(s):

Yanrong Bao

Keyword(s):

Artificial Intelligence ◽

Virtual Reality ◽

Social Life ◽

Quality Evaluation ◽

Course Design ◽

Television Program ◽

Sensor Technology ◽

Teaching Mode ◽

Film And Television ◽

Artificial Intelligence Technology

The application of artificial intelligence technology in the film and television field has profoundly changed the content and production methods of television programs and promoted the development and production of a new generation of artificial intelligence television. The popularization of artificial intelligence technology is conducive to improving the quality of television program content, innovating content categories, reducing television program production cost, and improving production efficiency. Due to the popularization and the use of virtual reality (VR) technology in scientific research and social life, the application of VR technology has been studied from the perspective of film and television animation (FTA) teaching, hoping to promote the development of FTA education. First, the existing dynamic environment modeling technology, real-time three-dimensional (3D) graphic generation technology, stereoscopic display, and sensor technology and other VR technologies are combined to carry out teaching design. In view of the current situation of the teaching process of FTA major, the research on these four aspects has been carried out. VR technology is used as an auxiliary teaching tool to complete the basic course teaching of FTA; the 3D animation course and VR technology are combined to improve the teaching effect of professional skill courses. Then, in the application effect, classroom satisfaction, comprehensive quality evaluation, and professional core curriculum effect are compared and analyzed. The results show that the students’ comprehensive quality evaluation in VR technology group is significantly improved, and the satisfaction of classroom atmosphere, teaching mode, and teaching facilities are 75%, 61%, and 81%, respectively. The students in this group can better integrate the new design method into the animation modeling and complete the course design task with high quality. Compared with the traditional teaching mode, the students’ satisfaction is higher and the harvest is greater. Therefore, the use of VR technology in FTA teaching can stimulate students’ interest in learning, improve learning efficiency, and promote the mastery of professional knowledge and skills. The application mode and effect analysis of the proposed VR technology provide a reference for the application of VR technology in FTA teaching.

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Artificial Intelligence in Drug Discovery

10.1039/9781788016841 ◽

2020 ◽

Keyword(s):

Artificial Intelligence ◽

Drug Discovery

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Student Anticipations and Reactions to Hybrid Format Education

Perspectives on Issues in Higher Education ◽

10.1044/ihe11.2.76 ◽

2008 ◽

Vol 11 (2) ◽

pp. 76-82 ◽

Cited By ~ 4

Author(s):

Sarah M. Ginsberg

Keyword(s):

Qualitative Study ◽

Learning Styles ◽

Student Perceptions ◽

Course Design ◽

Learning Experience ◽

Learning Experiences ◽

Traditional Classroom ◽

Traditional Learning ◽

Online Platform ◽

Hybrid Format

Abstract This qualitative study examined student perceptions regarding a hybrid classroom format in which part of their learning took place in a traditional classroom and part of their learning occurred in an online platform. Pre-course and post-course anonymous essays suggest that students may be open to learning in this context; however, they have specific concerns as well. Students raised issues regarding faculty communication patterns, learning styles, and the value of clear connections between online and traditional learning experiences. Student concerns and feedback need to be addressed through the course design and by the instructor in order for them to have a positive learning experience in a hybrid format course.

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