by Stephen Abram | Mar 28, 2018
…to create augmented reality” www.merriam-webster.com/dictionary/augmented%20reality Machine Learning: Machine learning is a field of computer science that gives computer systems the ability to “learn” (i.e. progressively…
by Stephen Abram | Feb 5, 2019
…this machine-learning world capable of evolving beyond the scarier scenarios we read in science fiction?
Machine-based Learning in Special Libraries
“Machine learning is…
by Stan Garfield | Mar 24, 2022
…to interface with computers in both written and spoken contexts using natural human languages instead of computer languages Machine learning: giving computers the ability to…
by Stephen Abram | Oct 23, 2018
…opportunities and some definitions:
Artificial Intelligence Augmented Reality Machine Learning Social Media NextGen Social Networking Internet of Things Voice Response Devices Robotics and Robots Machine-based…
by Stan Garfield | Sep 22, 2022
…and Ethics in Enterprise Search Enterprise Search & Discovery 2015 Keynote – Sparking Innovation: Human & Machine Learning & Knowledge Sharing Dynamic Developments Debate Enterprise…
by Lauren Hays | Nov 14, 2023
…machine learning. The recent advances in machine learning have made Artificial Intelligence popular again. This is a very powerful mechanism for classifying information as we…
by Lauren Hays | Jul 19, 2022
…Image-to-Image Demo: it creates images out of simple line drawings. Semantris: “Semantris is a set of word association games powered by machine learning. By training…
by Stephen Abram | Dec 11, 2018
In a recent post, I listed nine newer technologies not just on the horizon but quickly having an impact on both the consumer space
…
by Stan Garfield | Oct 10, 2024
…using chatbots and virtual assistants to answer questions, by using social media to connect with experts, and by using machine learning to identify and recommend…
by Rachael Cristine Woody | Jan 3, 2024
…itself is of an amazing quality and I love how archival materials informed the machine learning; the ways in which empathy was inspired is the…
by Margot Note | Feb 12, 2024
…reach a broader audience. Integrating cutting-edge technologies, such as artificial intelligence and machine learning, offers new possibilities for cataloging, searching, and preserving historical materials.. Collaborating…
by Stan Garfield | Oct 3, 2024
…Exaggerated Claims for AI Superiority Over Experts
Many artificial intelligence developers are prone to dismiss human expertise or misunderstand it. Artificial intelligence/machine learning proponents tend…
by Stephen Abram | Mar 5, 2019
…modelling, music perception and cognition, pattern recognition, and machine learning, as well as more traditional methods of artificial intelligence for musical knowledge representation.”
…
by Lauren Hays | Jul 23, 2024
…principles, limitations, biases, and ethical considerations. Consider obtaining certifications or taking courses in AI and machine learning to bolster your expertise.
Develop AI Governance
…
by Stephen Abram | Mar 19, 2019
…MIT Technology Review, 26 February 2018 Tay, Aaron (2017), How libraries might change when AI, machine learning, open data, block chain & other technologies are…
by Lauren Hays | Feb 22, 2022
…which uses AI more extensively. Integrate AI and machine learning technologies into everyday work. Libraries can support high-quality, ethical AI research.”
Then, the Statement
…
by Lauren Hays | Nov 5, 2024
…for the most part today), we “employed” technology to help us perform tasks. With the evolution of artificial intelligence, machine learning, deep learning, large language…
by Stan Garfield | Aug 11, 2022
…better business insights and the need to become more data-driven in their decision making. Enter the resurgence of data mining and machine learning.
Presentations
…
by Stan Garfield | Nov 19, 2020
…data warehouses, and data lakes Competitive intelligence, customer intelligence, market intelligence, and research Cognitive computing, artificial intelligence, natural language processing, machine learning, and neural networks…
by Lauren Hays | Jan 16, 2024
…and machine learning technology, data mining, research, and the modern librarian. I (Leslie) was talking with someone earlier today about possibly having a panel where…
by Lauren Hays | Dec 5, 2023
…heritage collections, the book also includes chapters that focus on machine learning, knowledge graphs, text analysis, text annotations and network analysis. Other topics covered include…
by Stan Garfield | Jul 6, 2023
…enable machine learning (ML) and other AI capabilities. Drive efficient and intelligent data and information management solutions. Examples: Expert Finder Recommendation Engine Customer 360 Taxonomy…
by Lauren Hays | Mar 14, 2023
…to eLearningIndustry, generative AI is “is a type of machine learning that generates new outputs such as text, images, or sounds based on the content…
by Stan Garfield | Mar 17, 2022
…from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from machine learning, classification, cluster analysis, data mining,…
by Stephen Abram | Oct 2, 2018
…reference interviewing (negotiation, if I may), it doesn’t extend far enough. We’re seeing threats and opportunities in AI and machine learning as they start to…