The following artifact analysis worksheet was designed and developed by the Education Staff of the National Archives and Records Administration. You may find this worksheet useful as you introduce students to artifacts and primary sources of material culture, society and history.

The following artifact analysis worksheet was designed and developed by the Education Staff of the National Archives and Records Administration. You may find this worksheet useful as you introduce students to artifacts and primary sources of material culture, society and history.

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.

This course material is created as flipped classroom sessions for Artificial Intelligence Course

My unit will align with Mary Shelley’s Frankenstein for Advanced Placement Literature students, although it could be adapted to other texts that pose the same question: Will we be cautious in creating technology, or will our creations ultimately harm us? Many dystopian futures feature violent revolts on humans from mistreated robots. These stories resonate because they mirror past brutality against African slaves, proposals to purify humanity in the Eugenics Movement, and recent mistreatment of immigrants. When we create more beautiful, more intelligent, and more talented humanoid entities to think for us, to entice us, and to comfort us, how will we view ourselves? Our virtual assistants have female voices. Does this amplify biased views of gender? If we treat our virtual assistants as slaves, will this increase our hatred towards other humans? Will our lives become completely irrelevant? In this unit, students will research the current state of robotics, and draw comparisons between our modern creations and the moral and technological warning in Frankenstein, encouraging students to think about the technology they use, feel agency in determining its future, and strive towards creating tools for a more humane world.

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.

Today Hank explores artificial intelligence, including weak AI and strong AI, and the various ways that thinkers have tried to define strong AI including the Turing Test, and John Searle’s response to the Turing Test, the Chinese Room. Hank also tries to figure out one of the more personally daunting questions yet: is his brother John a robot?

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.

9. Brave New World - AI/ML

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, city governments worldwide are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more accessible with technology and more connected.

This video presentation was created by Ella Rechtenbach to provide instruction and insight into artificial intelligence and machine learning.

The U.S. Department of Education Office of Educational Technology’s new policy report, Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations, addresses the clear need for sharing knowledge, engaging educators, and refining technology plans and policies for artificial intelligence (AI) use in education. The report describes AI as a rapidly-advancing set of technologies for recognizing patterns in data and automating actions, and guides educators in understanding what these emerging technologies can do to advance educational goals—while evaluating and limiting key risks. 

Artificial Intelligence (AI) promises to offer tremendous opportunities for service excellence, creation of newer domain of employment avenues, and in the process augment industrial and economic growth for countries. The question, however, is India ready to embrace AI and pave for a new technology revolution? India’s history does indeed support this possibility. In the past, starting in the late 1980s, India successfully clasped the computer revolution bubble and took almost a decade to become an information technology (IT) leader in the world. Today, the Indian IT sector contributes significantly to the country’s GDP and is among the highest employment opportunity provider in the country. The journey of India as an IT major, however, has not been without its ups and downs.  

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.