AI Strategy

Find out which use cases to address with AI. Identify and implement the most important AI initiatives for your company.

Natural Language Processing

From raw language processing to Text mining, Text extraction and Statistical language processing, our NLP consulting and implementation services can be tailored to your project requirements.

Predictive Analytics

Build predictive analytics models to predict future outcomes. Turn raw historical data into accurate predictions. Unlock risks and opportunities for your business.

Insights

Unlock key insights in mass data sets. Plan more effective responses to tough challenges.

Topic Analysis

Sift through large sets of data to identify the most common and most important topics.

Search

Superpower your search with AI. Pull answers and insights from anywhere. Put relevant information at your employees' fingertips. Provide better customer service.

EntityBase

EntityBase aggregates, merges, and matches data about people, organizations, products, and other entities.   Probabilistic matching technology seamlessly integrates data from multiple sources, even when those sources use different names, terminologies or data formats to describe the same entity. Machine learning automatically tunes matching algorithms for different types of data.

PSI4

PSI4 is a link-analysis and social media comprehension platform that enables researchers and analysts to conduct investigations on the Internet.  Analysts can interactively harvest data from public Web sites, analyze the content, and identify interesting patterns and links. 

RSX

Really Simple eXtraction (RSX) automates the time-consuming task of manually collecting data from the internet.  The system makes it easy to create data feeds -- no programming required! Users just point RSX at a Web site and the system can autonomously crawl the site and extract all the semi-structured data.

SocialPortrait

SocialPortrait provides actionable social-media insights, allowing companies to insert themselves into social conversations, market to finely tuned audiences and find channels to communicate with the right potential customers at just the right time.

Cytenna

Cytenna, an InferLink spinoff,  provides IT Professionals with tailored vulnerability intelligence in real-time. Cytenna gathers, organizes, and analyzes the latest information about vulnerabilities, mitigation strategies, and security news. Using algorithms developed by InferLink, Cytenna intelligently aggregates and and prioritizes this information into actionable intelligence. 

Active Search

ActiveSearch search is a semantic search system. Unlike most commercially-available systems, which are based on keyword matching, ActiveSearch employs a massive knowledge-graph of concepts to understand the documents it reads, so that users can find precisely the information they want.

Connectd

Connectd is a customizable, intelligent behavioral health platform for patients, providers, and caregivers. Combining active and passive information gathering techniques, Connectd uses machine learning to automatically adapt to user needs, interests, and goals. Connectd is rapidly portable to a wide variety of applications and domains, from veterans with PTSD to foster families to large health systems focused on reducing physician burnout.

Building and Using a Knowledge Graph to Combat Human Trafficking (Winner, Best Applied Paper, 2015 International Semantic Web Conference)

Pedro Szekely, Craig A. Knoblock, Jason Slepicka, Andrew Philpot, et al.

Temporally Aligning Clusters of Social Media Reaction to Speech Events

Brian Amanatullah, Greg Barish, Matthew Michelson and Steven Minton

Analyzing Foreign-Language Social-Media Reaction to Televised Speeches: Lessons Learned

Brian Amanatullah, Steven Minton, Matthew Michelson, Greg Barish and Kane See

Monitoring Entities in an Uncertain World: Entity Resolution and Referential Integrity

Steven Minton, Sofus A. Macskassy, Peter M. LaMonica, Kane See, Craig A. Knoblock, Greg Barish, Matthew Michelson, Raymond A. Liuzzi

Beyond Sensors: Reading Patients Through Caregivers and Context

Greg Barish, Patricia Lester MD, William Saltzman, and Eric Elbogen

Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web

Steven Minton, Matthew Michelson, Kane See, Sofus A. Macskassy, Bora Gazen, Lise Getoor

Materializing Multi-Relational Databases from the Web using Taxonomic Queries

Matthew Michelson, Sofus A. Macskassy, 
Steven N. Minton, and Lise Getoor

Creating Relational Data from Unstructured and Ungrammatical Data Sources

Matthew Michelson and Craig A. Knoblock

EntityBases: Compiling, Organizing and Querying Massive Entity Repositories

Craig A. Knoblock, José Luis Ambite, Kavita Ganesan, Maria Muslea, Steven Minton, Greg Barish, Evan Gamble, Claude Nanjo, Kane See, Cyrus Shahabi, Ching-Chien Chen

Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine

Matthew Michelson, Tiffany Chow, Neil A Martin. Mike Ross, Amelia Tee Qiao Ying & Steven Minton

Interactive Data Integration through 
Smart Copy & Paste

Zachary G. Ives, Craig A. Knoblock, Steven Minton, Marie Jacob, Partha Pratim Talukdar, Rattapoom Tuchinda, José Luis Ambite, Maria Muslea, Cenk Gazen 

Active Learning with Multiple Views

Ion Muslea, Steven Minton, Craig A. Knoblock

Overview of AutoFeed: An Unsupervised Learning  System for Generating Webfeeds 

Bora Gazen, Steven Minton

A Mobile App for Patients and Those Who Care About Them: A Case Study for Veterans with PTSD + Anger

Greg Barish, Hilary Aralis, Eric Elbogen, and Patricia Lester

Information Integration for the Masses

Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Kristina Lerman, Steven Minton

Mining Commit Log Messages to Identify Risky Code

Greg Barish, Matthew Michelson, Steven Minton

A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

Del Fiol G, Michelson M, Iorio A, Cotoi C, Haynes RB.

The Impact of Environmental Stressors on Human Trafficking

Tomkins S, Farnadi G, Amanatullah B, Lise Getoor & Minton S

Leveraging Machine-Assistance to Replicate a Systematic Review

Michelson M, Ross M & Minton, S.

How Does Machine-Learning Compare to an Incoming Medical Student in Extracting Outcomes Results from Abstracts?

Michelson M, Ross M & Minton, S

An Expressive Language and Efficient Execution System for Software Agents

Greg Barish, Craig A. Knoblock

Automated Discovery of Comparative Effectiveness Hypotheses from Medical Literature

Ross M, Michelson M, Tee Qiao Ying A, Ashish N, Minton S

The Value of AI Tools: Some Lessons Learned

Minton, S.

The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials

Michelson M, Reuter K