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 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 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 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 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 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…
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 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 | 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 | 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 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 Ron Aspe | Aug 3, 2016
…as machine learning and robotics—could impact professions which involve a substantial share of knowledge work. Based on the findings in this article, here are some…
by Lauren Hays | Jun 29, 2021
…to use machine learning to create music is a fascinating development. Unpacking how artificial intelligence may impact art in the future is outside the scope…
by Lauren Hays | Jan 2, 2024
…possible has become increasingly sophisticated. A machine learning technique such a topic modelling can now be achieved with just a dozen or so short lines…
by Stan Garfield | Feb 29, 2024 |
…machine learning, natural language processing, predictive and prescriptive analytics, and data science. In the field of artificial intelligence, she focuses on ethical AI, AI governance,…