Articles about AI - Artificial Intelligence at WilmU - AI - Subject/Research Guides at Wilmington University Library

Pros and Cons - What's to Fear?

Why AI Developers Hate the New Terminator Movie (2019)
“They paint a picture which is really not coherent with the current understanding of how AI systems are built today and in the foreseeable future. We are very far from super-intelligent AI systems and there may even be fundamental obstacles to get much beyond human intelligence.”
School apps track students from classroom to bathroom, and parents are struggling to keep up (2019)
Washington Post article. A digital hall-pass app that tracks bathroom trips is the latest school software to raise privacy concerns.
Artificial intelligence, for real (2017)
How to start investing in AI now. Published in the Harvard Business Review.
These students figured out their tests were graded by AI — and the easy way to cheat (2020)
Why some artificial intelligence is smart until it's dumb (2020)

The Research and Design of Web-based Intelligent Tutoring System (2016) Huang, J., & Chen, Z. (2016). The research and design of web-based intelligent tutoring system. International Journal of Multimedia and Ubiquitous Engineering, 11(6), 337-348.

AI in Action: 5 Case Studies (2020) 43 pages. Get started on your own AI projects using real-life examples. Learn how developers are using AI to build the next generation of apps through five technical case studies—complete with sample code, detailed technical specs, and step-by-step solutions as implemented in the real world.
A Developer’s Guide to Building AI-Driven Knowledge Mining Solutions (2020) 31 pages. Discover common knowledge mining use cases and begin building your own solutions using code samples and solution accelerators. Learn how to use knowledge mining to extract structured data from unstructured content—and uncover actionable information across all your organization’s data.
Mastering Azure Machine Learning (2020, EBOOK)
400+ page PDF, slow to load.
more...less...
Start making machine learning models with Azure. See hands-on guidance, real examples, and executable code in this e-book from Packt. Learn how to build an end-to-end machine learning pipeline, choose the right Azure services for specific machine learning tasks, prepare your data, and train, optimize, deploy, and monitor your models.

AI and Scholarly Communications
A Scholarly Kitchen post discussing applications of AI to the research community.
How AI helps historians solve ancient puzzles (2020)
A Financial Times article about using artificial intelligence for humanities research.

Toward understanding the impact of artificial intelligence on labor (2019) Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree.
American Working Forward (2017)
U.S. Chamber of Commerce Foundation, Fall, 2017.
1 million US jobs will vanish by 2026. Here's how to prepare workers for an automated future (2018)
CNBC news article, February 2018.
AI in Action: How Microsoft is making AI real for every organization and every employee today (2020)
White paper from MIcrosoft with additional resources

‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures (2020)
Google’s deep-learning program for determining the 3D shapes of proteins stands to transform biology, say scientists.

Meet GPT-3. It Has Learned to Code (and Blog and Argue). [The New York Times]
The latest natural-language system generates tweets, pens poetry, summarizes emails, answers trivia questions, translates languages and even writes its own computer programs.

Artificial Intelligence: The dark matter of computer vision (2020)
'What makes us humans so good at making sense of visual data? That’s a question that has preoccupied artificial intelligence and computer vision scientists for decades. Efforts at reproducing the capabilities of human vision have so far yielded results that are commendable but still leave much to be desired.'