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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=artificial+intelligence">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=artificial+intelligence]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for artificial intelligence]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/325/We-KnowItAll-lessons-from-a-Quarter-Century-of-Web-Extraction-Research"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/294/Efficient-Planning-Using-Plan-Libraries-to-Capture-the-Structure-of-the-State-Space"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/173/Artificial-Intelligence-and-Nature"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/20/Applying-AI-And-Multi-Agent-Techniques-To-National-Security-And-Business-Operations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/25/Finin-co-chairs-AI-and-the-Web-track-at-AAAI-2006"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/27/Finin-gives-invited-talk-at-AAAI-2004"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/12/UMBC-Student-honored-by-CRA-as-an-Outstanding-Undergraduate"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1203/DUNE-A-Machine-Learning-Deep-UNET-based-ensemble-Approach-to-Monthly-Seasonal-and-Annual-Climate-Forecasting"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1135/Change-Management-using-Generative-Modeling-on-Digital-Twins"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1099/Developing-Ethics-and-Equity-Principles-Terms-and-Engagement-Tools-to-Advance-Health-Equity-and-Researcher-Diversity-in-AI-and-Machine-Learning-Modified-Delphi-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1104/Knowledge-Enhanced-Neurosymbolic-Artificial-Intelligence-for-Cybersecurity-and-Privacy"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1050/Drug-Abuse-Ontology-to-Harness-Web-Based-Data-for-Substance-Use-Epidemiology-Research-Ontology-Development-Study"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1049/Quantum-A-New-Kind-of-Knowledge-Discovery"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1032/Building-Textual-Fuzzy-Interpretive-Structural-Modeling-to-Analyze-Factors-of-Student-Mobility-Based-on-User-Generated-Content"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1037/Knowledge-Infused-Learning-A-Sweet-Spot-in-Neuro-Symbolic-AI"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1006/Combating-Fake-Cyber-Threat-Intelligence-using-Provenance-in-Cybersecurity-Knowledge-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1005/The-Integration-of-Artificial-Intelligence-for-Improved-Operational-Air-Quality-Forecasting"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/32/Machine-learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/394/After-75-years-of-AI-Can-Machines-Think-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/287/Making-software-agents-smarter"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/212/Splog-Blog-Dataset"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/348/Word-and-phrase-similarity"/>
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 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/325/We-KnowItAll-lessons-from-a-Quarter-Century-of-Web-Extraction-Research">
  <title><![CDATA[We KnowItAll: lessons from a Quarter Century  of Web Extraction Research]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/325/We-KnowItAll-lessons-from-a-Quarter-Century-of-Web-Extraction-Research</link>
  <description><![CDATA[For the last quarter century (measured in person years), the KnowItAll project has investigated information extraction at Web scale. If successful, this effort will begin to address the long-standing "Knowledge Acquisition Bottleneck" in Artificial Intelligence, and will enable a new generation of search engines that extract and synthesize information from text to answer complex user queries. To date, we have generalized information extraction methods to process arbitrary Web text, to handle ...]]></description>
  <dc:date>2009-11-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/294/Efficient-Planning-Using-Plan-Libraries-to-Capture-the-Structure-of-the-State-Space">
  <title><![CDATA[Efficient Planning Using Plan Libraries to Capture the Structure of the State Space]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/294/Efficient-Planning-Using-Plan-Libraries-to-Capture-the-Structure-of-the-State-Space</link>
  <description><![CDATA[Ph.D. Dissertation Defense

Automated, domain-independent planning is a research area within Artificial Intelligence that is used in a variety of practical applications, especially those for which a large degree of autonomy is required. Planning programs that are given information about the current state of the world, the available actions, and a set of goals that should be achieved. The planner's task is determining the plan: a set of actions and ordering constraints among them. A domain-i...]]></description>
  <dc:date>2009-04-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/173/Artificial-Intelligence-and-Nature">
  <title><![CDATA[Artificial Intelligence and Nature]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/173/Artificial-Intelligence-and-Nature</link>
  <description><![CDATA[This lecture is the first of the 2006 Honors Forum Lecture
Series.  You are invited by the Honors College to come listen to your
colleague’s thoughts on this subject.

The topic of the 2006 Honors Forum Lecture Series is "Nature".  Artists,
computer scientists, gender students, geneticists, moral philosophers,
physicists, and psychologists will give lectures on the topic of nature,
broadly conceived, and how nature is used as a concept within their particular
disciplines.  These lec...]]></description>
  <dc:date>2006-09-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/20/Applying-AI-And-Multi-Agent-Techniques-To-National-Security-And-Business-Operations">
  <title><![CDATA[Applying AI And Multi-Agent Techniques To National Security And Business Operations]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/20/Applying-AI-And-Multi-Agent-Techniques-To-National-Security-And-Business-Operations</link>
  <description><![CDATA[In Today'S Economic Environment There Is An Urgent Need For
Both Commercial And Government Enterprises To React
Quickly, Flexibly, And Accurately To Changing
Conditions. Under Contract To The Us Government, Quantum
Leap Innovations (Qli) Is Developing And Applying
Artificial Intelligence And Multi-Agent System Techniques
To Help Provide Early Detection And Response To National
Security Threats, Such As Biological And Chemical
Attacks. The Three-Phase Approach Incorporates Awareness
(...]]></description>
  <dc:date>2004-04-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere">
  <title><![CDATA[Welcome to the Splogosphere]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere</link>
  <description><![CDATA[Welcome to the Splogosphere!

UMBC study estimates that 75% of posts to English language weblogs are spam


Baltimore, December 16, 2005

 A weblog monitoring system developed by UMBC Ph.D. student Pranam
Kolari shows that a new form of spam -- spam blogs or splogs --
has quickly become a serious problem. 

 Splogs are "fake"
weblog sites that have been set up to carry paid advertisements,
promote affiliated web sites by increasing their PageRank, and to get
new sites noti...]]></description>
  <dc:date>2005-12-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/25/Finin-co-chairs-AI-and-the-Web-track-at-AAAI-2006">
  <title><![CDATA[Finin co-chairs AI and the Web track at AAAI 2006]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/25/Finin-co-chairs-AI-and-the-Web-track-at-AAAI-2006</link>
  <description><![CDATA[UMBC faculty member Tim Finin is the co-chair of a Special Track on
Artificial Intelligence and the Web at the Twenty-First National
Conference on Artificial Intelligence sponsored by the American
Association for Artificial Intelligence (AAAI).  Finin joins
University of Michigan professor Dragomir Radev to organize this track
as part of AAAI's National Conference to be held in Boston July 16-20,
2006.

The special track on AI and the Web invites technical papers on the
use of AI tec...]]></description>
  <dc:date>2005-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing">
  <title><![CDATA[UMBC and IBM collaborate on autonomic computing]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing</link>
  <description><![CDATA[University of Maryland, Baltimore County and IBM Collaborate on 
Autonomic Computing Research

BALTIMORE, February 24, 2005 - IBM today announced a new Shared University Research (SUR) grant awarded a group of faculty researchers of the eBiquity research group at the University of Maryland, Baltimore County to help build a major new center for high performance computational research. 

This SUR grant is part of the latest series of Shared University Research (SUR) awards, bringing IBM's ...]]></description>
  <dc:date>2005-02-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/27/Finin-gives-invited-talk-at-AAAI-2004">
  <title><![CDATA[Finin gives invited talk at AAAI 2004]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/27/Finin-gives-invited-talk-at-AAAI-2004</link>
  <description><![CDATA[Tim Finin will give an
invited talk on Intelligent Agents
meet the Semantic Web in the Aether at the Nineteenth National
Conference on Artificial Intelligence (AAAI-04) sponsored by the
American Association for Artificial Intelligence.  The AAAI-04
Conference was held in San Jose, California, at the San Jose
Convention Center, from 25-29 July, 2004.

 Finin's talk will focus on new uses of intelligent software agents
and multiagent systems.   "The software agents paradigm
has receiv...]]></description>
  <dc:date>2004-08-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/12/UMBC-Student-honored-by-CRA-as-an-Outstanding-Undergraduate">
  <title><![CDATA[UMBC Student honored by CRA as an Outstanding Undergraduate]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/12/UMBC-Student-honored-by-CRA-as-an-Outstanding-Undergraduate</link>
  <description><![CDATA[UMBC undergraduate Katherine Hirsch received an honorable
mention award in the Computing Research Association's tenth
annual CRA Outstanding Undergraduate Awards competition,
which recognizes undergraduate students who show outstanding
research potential in an area of importance to computing
research. The awards were presented on July 28 at the 2004
National Conference of the American Association of
Artificial Intelligence in San Jose, California.

The candidates, nominated by their ...]]></description>
  <dc:date>2004-08-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web">
  <title><![CDATA[Semantic Discovery: Discovering Complex Relationships in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web</link>
  <description><![CDATA[Research in search techniques was a critical component of the first generation of the Web, and has gone from academe to mainstream. A second generation Semantic Web will be built by adding semantic annotations that software can understand and from which humans can benefit. Modeling, discovering and reasoning about complex relationships on the Semantic Web will enable this vision and transform the hunt for documents into a more automated analysis enabled by semantic technology. The beginnings ...]]></description>
  <dc:date>2003-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1203/DUNE-A-Machine-Learning-Deep-UNET-based-ensemble-Approach-to-Monthly-Seasonal-and-Annual-Climate-Forecasting">
  <title><![CDATA[DUNE: A Machine Learning Deep UNET++ based ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1203/DUNE-A-Machine-Learning-Deep-UNET-based-ensemble-Approach-to-Monthly-Seasonal-and-Annual-Climate-Forecasting</link>
  <description><![CDATA[Capitalizing on the recent availability of ERA5 monthly averaged, long-term data records of mean atmospheric and climate fields derived from the high-resolution reanalysis, deep learning architectures provide an alternative to physics-based daily numerical weather predictions for subseasonal to seasonal (S2S) and annual forecasts. A novel deep U-Net++-based ensemble (DUNE) neural architecture is introduced, incorporating encoder–decoder structures with residual blocks. When initialized with...]]></description>
  <dc:date>2025-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1135/Change-Management-using-Generative-Modeling-on-Digital-Twins">
  <title><![CDATA[Change Management using Generative Modeling on Digital Twins]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1135/Change-Management-using-Generative-Modeling-on-Digital-Twins</link>
  <description><![CDATA[A key challenge faced by small and medium-sized business entities is securely managing software updates and changes. Specifically, with rapidly evolving cybersecurity threats, changes/updates/patches to software systems are necessary to stay ahead of emerging threats and are often mandated by regulators or statutory authorities to counter these. However, security patches/updates require stress testing before they can be released in the production system. Stress testing in production environme...]]></description>
  <dc:date>2023-10-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1099/Developing-Ethics-and-Equity-Principles-Terms-and-Engagement-Tools-to-Advance-Health-Equity-and-Researcher-Diversity-in-AI-and-Machine-Learning-Modified-Delphi-Approach">
  <title><![CDATA[Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1099/Developing-Ethics-and-Equity-Principles-Terms-and-Engagement-Tools-to-Advance-Health-Equity-and-Researcher-Diversity-in-AI-and-Machine-Learning-Modified-Delphi-Approach</link>
  <description><![CDATA[Background:

Artificial intelligence (AI) and machine learning (ML) technology design and development continues to be rapid, despite major limitations in its current form as a practice and discipline to address all socio-humanitarian issues and complexities. From these limitations emerges an imperative to strengthen AI/ML literacy in underserved communities and build a more diverse AI/ML design and development workforce engaged in health research.

Objective:

AI/ML has the potential to...]]></description>
  <dc:date>2023-09-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1104/Knowledge-Enhanced-Neurosymbolic-Artificial-Intelligence-for-Cybersecurity-and-Privacy">
  <title><![CDATA[Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1104/Knowledge-Enhanced-Neurosymbolic-Artificial-Intelligence-for-Cybersecurity-and-Privacy</link>
  <description><![CDATA[Neurosymbolic artificial intelligence (AI) is an emerging and quickly advancing field that
combines the subsymbolic strengths of (deep) neural networks and the explicit, symbolic
knowledge contained in knowledge graphs (KGs) to enhance explainability and safety in
AI systems. This approach addresses a key criticism of current generation systems,
namely, their inability to generate human-understandable explanations for their
outcomes and ensure safe behaviors, especially in scenarios with...]]></description>
  <dc:date>2023-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1050/Drug-Abuse-Ontology-to-Harness-Web-Based-Data-for-Substance-Use-Epidemiology-Research-Ontology-Development-Study">
  <title><![CDATA[Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1050/Drug-Abuse-Ontology-to-Harness-Web-Based-Data-for-Substance-Use-Epidemiology-Research-Ontology-Development-Study</link>
  <description><![CDATA[Background: Web-based resources and social media platforms play an increasingly important role in health-related knowledge and experience sharing. There is a growing interest in the use of these novel data sources for epidemiological surveillance of substance use behaviors and trends.

Methods: The domain and scope of the DAO were defined using competency questions from popular ontology methodology (101 ontology development). The 101 method includes determining the domain and scope of ontol...]]></description>
  <dc:date>2022-12-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1049/Quantum-A-New-Kind-of-Knowledge-Discovery">
  <title><![CDATA[Quantum: A New Kind of Knowledge Discovery]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1049/Quantum-A-New-Kind-of-Knowledge-Discovery</link>
  <description><![CDATA[While the first solid-state device (known as transistor) was being developed at Bell lab in the mid-twentieth
to replace vacuum-tubes, artificial intelligence (AI) was being conceptualized by a generation
of scientists, mathematicians, and philosophers. In 1950, Alan Turing suggested two criteria
for machine intelligence: memory for enabling machines to store and retrieve data, and reasoning (i.e.,
having the capacity to process data). Since then, trends in doubling the transistor count, ...]]></description>
  <dc:date>2022-11-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1032/Building-Textual-Fuzzy-Interpretive-Structural-Modeling-to-Analyze-Factors-of-Student-Mobility-Based-on-User-Generated-Content">
  <title><![CDATA[Building Textual Fuzzy Interpretive Structural Modeling to Analyze Factors of Student Mobility Based on User Generated Content]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1032/Building-Textual-Fuzzy-Interpretive-Structural-Modeling-to-Analyze-Factors-of-Student-Mobility-Based-on-User-Generated-Content</link>
  <description><![CDATA[Many factors influence student mobility across regions and countries. The roles of these factors, along with their interrelationship and interaction, make student mobility a complex decision-making issue. Many textual data generated on social media can answer many open questions about factors affecting human behavior, particularly social mobility. We have developed a novel methodology, called Textual Fuzzy Interpretive Structural Modeling (TFISM), that automatically analyses large textual dat...]]></description>
  <dc:date>2022-11-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1037/Knowledge-Infused-Learning-A-Sweet-Spot-in-Neuro-Symbolic-AI">
  <title><![CDATA[Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1037/Knowledge-Infused-Learning-A-Sweet-Spot-in-Neuro-Symbolic-AI</link>
  <description><![CDATA[Deep learning has revolutionized the artificial intelligence (AI) landscape by enhancing machine capabilities to understand data-dependant relationships. On the other hand, knowledge may not directly correlate or depend on the data but represents facts that are true. Combining knowledge with the data-driven deep learning techniques improves upon what can be learned from data alone, resulting in improved performance with reduced training, user-level explainability, modeling uncertainty in deep...]]></description>
  <dc:date>2022-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1006/Combating-Fake-Cyber-Threat-Intelligence-using-Provenance-in-Cybersecurity-Knowledge-Graphs">
  <title><![CDATA[Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1006/Combating-Fake-Cyber-Threat-Intelligence-using-Provenance-in-Cybersecurity-Knowledge-Graphs</link>
  <description><![CDATA[Today there is a significant amount of fake cybersecurity related intelligence on the internet. To filter out such information, we build a system to capture the provenance information and represent it along with the captured Cyber Threat Intelligence (CTI). In the cybersecurity domain, such CTI is stored in Cybersecurity Knowledge Graphs (CKG). We enhance the exiting CKG model to incorporate intelligence provenance and fuse provenance graphs with CKG. This process includes modifying tradition...]]></description>
  <dc:date>2022-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1005/The-Integration-of-Artificial-Intelligence-for-Improved-Operational-Air-Quality-Forecasting">
  <title><![CDATA[The Integration of Artificial Intelligence for Improved Operational Air Quality Forecasting]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1005/The-Integration-of-Artificial-Intelligence-for-Improved-Operational-Air-Quality-Forecasting</link>
  <description><![CDATA[The National Oceanic and Atmospheric Administration (NOAA) is actively seeking to integrate the latest research in Artificial Intelligence (AI) techniques to solve a number of operational challenges. We describe two efforts underway that integrate deep learning techniques to improve operational air quality (AQ) forecasting.
The first effort is a collaboration between NOAA and the University of Maryland Baltimore County (UMBC) that uses deep learning to improve bias correction of model predic...]]></description>
  <dc:date>2021-12-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/32/Machine-learning">
  <title><![CDATA[Machine learning]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/32/Machine-learning</link>
  <description><![CDATA[Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases.]]></description>
  <dc:date>2026-07-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/394/After-75-years-of-AI-Can-Machines-Think-">
  <title><![CDATA[After 75 years of AI, Can Machines Think?]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/394/After-75-years-of-AI-Can-Machines-Think-</link>
  <description><![CDATA[Mathematician Alan Turing proposed a simple test to answer the question 'Can machines think?' nearly 75 years ago. Today, the surprising abilities of the latest generative AI systems make many wonder if we can finally respond positively. The talk briefly covers AI's history leading up to the recent development of systems using neural networks and large language models like ChatGPT and what to expect in the next few years.

A presentation given at the Charlestown Retirement Community on Apri...]]></description>
  <dc:date>2025-04-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/287/Making-software-agents-smarter">
  <title><![CDATA[Making software agents smarter]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/287/Making-software-agents-smarter</link>
  <description><![CDATA[Slides for an opening panel at the Second International Conference on Agents and Artificial Intelligence (ICAART 2010) held in Valencia Spain, 22-24 January 2010.]]></description>
  <dc:date>2010-01-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/212/Splog-Blog-Dataset">
  <title><![CDATA[Splog Blog Dataset]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/212/Splog-Blog-Dataset</link>
  <description><![CDATA[This dataset consists of 3000 blog homepages, out of which 700 have been labeled as splogs, and another 700 as authentic blogs.


This training set was used in results of three papers, with emphasis on identifying blogs [1], on detecting spam blogs [2], and on analysing the splogosphere [3].


This collection can be used in further experimenting with splogs, or for building filters that could be deployed in real world systems. We, and our academic and industrial collaborators have bee...]]></description>
  <dc:date>2006-11-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/348/Word-and-phrase-similarity">
  <title><![CDATA[Word and phrase similarity]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/348/Word-and-phrase-similarity</link>
  <description><![CDATA[Computing semantic similarity between words/phrases has important applications in natural language processing, information retrieval, and artificial intelligence. There are two prevailing approaches to computing word similarity, based on either using of a thesaurus (e.g., WordNet ) or statistics from a large corpus. We provide a hybrid approach combining the two methods that is demonstrated on a web site through two services: one that returns a similarity score for two words or phrases and an...]]></description>
  <dc:date>2013-01-09</dc:date>
 </item>
</rdf:RDF>
