Pamela shows how to store arrays of objects - a very powerful tool for your programs.
Art museums are powerful and contested institutions. They are also innovative sites of architectural and artistic practice. From the exhibitionary complex of the nineteenth century to the experiential complex of today, this course investigates the art museum from historical and contemporary perspectives, striking a balance between theoretical investigation and case studies of recent exhibitions and museum buildings. Where and why did the concept of the public art museum emerge, and how have its functions changed over time? How do art museums continue to shape our definitions of what art is? How have they responded to recent critiques of the self-described ‘universal’ museum and to claims for the ethical display of ill-gotten artifacts or the restitution of such objects as Greek vases and bronzes looted from Benin? And why is the Euro-American art museum so compelling a model that it has spread around the globe?
To address these and other questions, we will also go behind the scenes. Visits to local museums and discussions with curators are an essential component of the course.
Watch this short video and try to identify the location of the sculptures. Then see how art and these sculptures relate to the science of mathematics.
Article Summary Grade Level: 11- 12Subject: Advanced Life Science AnimalsDuration: 60 minutesDOK Level: 3SAMR Level: Augmentation Indiana Standard: ALSA-6.1 Acquire and demonstrate communication skills such as writing, public speaking, and listening while refining oral, written, and verbal skillsDescription: The students will use their critical thinking skills to analyze current research happening in the agricultural industry. Objective: The students will select an article from the online AgResearch Magazine (https://agresearchmag.ars.usda.gov/ ) Essential Question: Why is research important?Procedure: Ask the students to answer the following questions in their journals: Why is research important? Why is sharing research important? Have a class discussion on the importance of sharing research and the importance of standard research practices.Explain the project sheet Agriculture Research Article Review Provide the project sheet through goolge classroomRead one article together as a class.Demonstrate how to fill out the project sheet.Make sure students understand how to properly cite the article Product or Assessment: The completed project sheet which includes an article citation, article summary, and student opinion on research.
Covering necessary information literacy topics in a traditional "one shot" session can be difficult. To address this challenge, a suite of interactive online modules were developed to provide active learning lessons on various information literacy topics. The modules can be used in fully online, flipped or face-to-face courses and can be integrated into a learning management system (LMS) so student knowledge and progress can be tracked and assessed.
Developed using Articulate Storyline, the sources files are available as open source downloads under a GNU General Public License (GPLv3). Please feel free to download and continue to enhance and improve these modules.
Joints and their classification
Synarthrotic joints
Amphiarthrotic joints
Diarthrotic joints
Synovial joints anatomy
Types of synovial joints
Students learn more about how muscles work and how biomedical engineers can help keep the muscular system healthy. Following the engineering design process, they create their own biomedical device to aid in the recovery of a strained bicep. They discover the importance of rest to muscle recovery and that muscles (just like engineers!) work together to achieve a common goal.
Students are presented with a hypothetical scenario in which they are biomedical engineers asked to design artificial hearts. Using the engineering design process as a guide, the challenge is established and students brainstorm to list everything they might need to know about the heart in order to create a complete mechanical replacement (size, how it functions, path of blood etc.). They conduct research to learn the information and organize it through various activities. They research artificial heart models that have already been used and rate their performance in clinical trials. Finally, they analyze the data to identify the artificial heart features and properties they think work best and document their findings in essay form.
This course introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. This course also explores applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem-solving paradigms. In addition, it covers applications of decision trees, neural nets, SVMs and other learning paradigms.
This is the GitHub repository for course CMP 414/765: Artificial Intelligence taught at The City University of New York, Lehman College, in Fall 2022
This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.
An introduction to the main techniques of Artifical Intelligence: state-space search methods, semantic networks, theorem-proving and production rule systems. Important applications of these techniques are presented. Students are expected to write programs exemplifying some of techniques taught, using the LISP lanuage.
Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 95,000 words on the topic, with a 3-400 item bibliography.
Overview: Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 100,000 words on the topic, with a 4-500 item bibliography. It is the 2024 Second Edition of a 2023 book. It is about 100 pages longer than the first edition.
Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 100,000 words on the topic, with a 4-500 item bibliography. It is the 2024 Third Edition of a 2024 Second Edition. Changes to the third edition include:
• a new Chapter 6 on evaluation and the future
• new materials in Chapter 5 on current large language and multimodal models
• scattered revisions, corrections, and updates.
What is the current state of artificial intelligence (AI) in the world of scholarly communication? What impact does AI have on the practices and strategies of publishers, libraries, information technology companies, and researchers? What exactly is AI and what are those in the realm of scholarly communication actually thinking about it and doing with it?
This Charleston Briefing seeks to provide some answers to these very important questions, offering both general essays on AI and more specific essays on AI in scholarly publishing, academic libraries, and AI in information discovery and knowledge building. The essays will help publishers, librarians, and researchers better understand the actual impact of AI on libraries and publishing so that they can respond to the potentially transformative impact of AI in a measured and knowledgeable manner.
"Charleston Briefings: Trending Topics for Information Professionals" is a thought-provoking series of brief books concerning innovation in the sphere of libraries, publishing, and technology in scholarly communication. The briefings, growing out of the vital conversations characteristic of the Charleston Conference and Against the Grain, will offer valuable insights into the trends shaping our professional lives and the institutions in which we work.
This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:
"Despite their known benefits, chemotherapy and other cancer treatments can take a toll on patients. Side effects such as hair loss, nausea, immune system suppression, fatigue, cognitive impairment, and infertility are common. The reason is that many cancer-fighting treatments target cells that quickly reproduce, which is true of cancer cells but also of other, healthy cells in the body, including blood cells and those lining the gastrointestinal tract. Is it possible to target only cancerous tissues with therapeutic drugs so that healthy organs remain unaffected? Researchers at the RIKEN Cluster for Pioneering Research in Japan are engineering molecules to do just that. The team showed that artificially designed gold-based enzymes (or metalloenzymes) can be used to guide drug delivery through a technique called selective cell tagging therapy. These metalloenzymes are studded with sugar molecules that can bind to specific proteins called lectins displayed on the surface of cancer cells..."
The rest of the transcript, along with a link to the research itself, is available on the resource itself.
Emmanuel A. Oduagwu and Oyemike Victor Benson (Federal Polytechnic Nekede Owerri) present 'Artificial intelligence and library practice in developing countries: a call for realistic partnership and sustainable collaboration' during the AI & Professional Development session at the Fantastic Futures a... This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.
This item has files of the following types: Archive BitTorrent, Item Tile, MP3, MPEG4, Metadata, PNG, Thumbnail, h.264 720P, h.264 IA
This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:
"Artificial intelligence is transforming our way of life. Able to spot patterns invisible to the human eye, algorithms are learning how to make our lives easier, safer, and more fun. That power is not lost on materials researchers. During the next decade, artificial intelligence or AI-driven research could fundamentally transform how new and better materials are developed. What’s more, it might even revamp how materials research itself is carried out, enabling promising new materials and processes to be developed more quickly. Machine learning methods come in a variety of flavors, with some requiring more guidance, or “supervision,” from researchers. But, generally, a machine-learning algorithm designed to discover and understand the behavior of materials looks for patterns connecting the composition, structure, and properties of known materials..."
The rest of the transcript, along with a link to the research itself, is available on the resource itself.
Data warehousing and minig