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Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

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Ricardo Baeza-Yates – Palo Alto, CA, United States

Bias and the Web
The Web is the most powerful communication medium and the largest public data repository that humankind has created. Its content ranges from great reference sources such as Wikipedia to ugly fake...
Big Data or Right Data? Opportunities and Challenges
Big data nowadays is a fashionable topic, independently of what people mean when they use this term. But being big is just a matter of volume, although there is no clear agreement in the size...
Distributed Web Search
In the ocean of Web data, Web search engines are the primary way to access content. As the data is on the order of petabytes, current search engines are very large centralized systems based on...
Semantic Search
Semantic search lies in the cross roads of information retrieval and natural language

processing and is the current frontier of search technology. The first part consists in...

Indrajit Bhattacharya – Kolkata, India

Introduction to Monte Carlo Methods for Probabilistic Inference
Probabilistic Models provide a framework for representing and reasoning with complex domains with many uncertain and interdependent variables and form one of the foundations of Artificial...
Introduction to Probabilistic Graphical Models
Probabilistic Graphical Models (PGM) provide a unifying framework for representing and reasoning with complex domains with many uncertain and interdependent variables and form one of the...
Principles of Technical Writing
While research students receive intensive and extensive training about the fundamentals of topics relevant for their research, their formal education rarely covers the topic of research...
Statistical Topic Models
Over the last decade, probabilistic topic models have emerged as an extremely powerful and popular tool for analyzing large collections of unstructured data. While originally proposed for textual...

Debnath Bhattacharyya – Visakhapatnam, India

Design and Analysis of Graphical Password

Most common computer authentication method is traditional ‘User Name’ and ‘password’. There are numerous Biometric authentication methods also proposed. In...

Siddhartha Bhattacharyya – Ostrava, Czech Republic

Optimized Image Thresholding using Multilevel Quantum Systems
Segmentation is a popular technique whose aim is to segregate a set of data points into groups. Thresholding remains the simplest method for image segmentation. The determination of the...
Quantum Entanglement and the W State
Quantum Computing promises to be the computing of the future. Quantum entanglement is the property which generally gives rise to non-local interaction among bipartite correlated states....
Quantum Inspired Automatic Image Clustering
Cluster analysis is a popular technique whose aim is to segregate a set of data points into groups, called clusters where the number of clusters are predefined. Automatic determination of...
Understanding Quantum Backpropagation
Backpropagation techniques are widely used in neural networks for the purpose of weight adjustment and system error compensation. The lecture discusses the basics of backpropagation...

Debnath Bhattacharyya – Visakhapatnam, India

Unsupervised Learning in Data Mining
The meaning of Unsupervised learning is to find hidden structure in unlabeled data. Approaches of Unsupervised learning can be used in Data Mining. Clustering is an important and popular approach...

Albert Bifet – Paris, France

Massive Online Analytics for the Internet of Things (IoT)
Big Data and the Internet of Things (IoT) have the potential to fundamentally shift the way we interact with our surroundings. The challenge of deriving insights from the Internet of Things (IoT)...

Michael Bronstein – Lugano, Switzerland

Computational metric geometry
Many important problems in computer vision and pattern recognition revolve around the notion of "similarity" or "distance". Metric geometry is a branch of theoretical...
Geometric deep learning
In recent years, more and more data science applications have to deal with a somewhat unusual kind of data residing on non-Euclidean geometric domains such as manifolds or graphs. For...
Spectral methods for 3D data analysis
In recent years, geometric data is gaining increasing interest both in the academia and industry. In computer graphics and vision, this interest is owed to the rapid development of 3D acquisition...
Start thinking in 3D!
The last decade has witnessed a series of technological breakthroughs in the acquisition, processing, and analysis of 3D geometric data, enabling applications that are revolutionizing our way of...

Deming Chen – Urbana, IL, United States

Cognitive Computing on Heterogeneous Hardware Systems for the AI Revolution
Many envision that AI (artificial intelligence) will usher in the next iteration of technology revolution, where humans and machines will work side-by-side to augment, enhance, or accelerate our...

Li Chen – Washington, DC, United States

Data Science: Recent Developments and Future Trends
Data contains science. How data is handled today is much different than the classical mathematical approach of using models to fit the data. Today, people are supposed to find rules and...

Deming Chen – Urbana, IL, United States

Design, Compilation, and Acceleration for Deep Neural Networks in IoT Applications
Many new IoT (Internet of Things) applications are driven by the fast creation, adaptation, and enhancement of various types of Deep Neural Networks (DNNs). DNNs are computation intensive....

Li Chen – Washington, DC, United States

Digital Geometry and its Applications: Geometrical and Topological Data Processing
Digital geometry focuses on digital objects, which are usually represented by a finite number of integer points or vectors. However, in a much larger sense, digital objects could be digital...

Deming Chen – Urbana, IL, United States

FPGA-based Smart Devices and Platforms for the AI Revolution
Many envision that AI (artificial intelligence) will usher in the next iteration of technology revolution, where humans and machines will work side-by-side to augment, enhance, or accelerate our...
Overcoming Challenges of Accelerating Deep Neural Network Computations
Deep Neural Networks (DNNs) are computation intensive. Without efficient hardware implementations of DNNs, many promising AI applications will not be practically realizable. In this talk, we will...

Cristina Conati – Vancouver, BC, Canada

Mining User Behaviors for Providing Personalized Support to Learning from Interactive Simulations
The field of Intelligent Tutoring System has successfully delivered techniques and environments that provide adaptive coaching and feedback for problem solving in variety...
The Eyes Are the Windows to the Mind: Implications for User Modeling and User-Adaptive Interaction
Eye-tracking has been extensively used both in psychology for understanding various aspects of human cognition, as well as in human computer interaction (HCI) for off-line evaluation of interface...
Toward User-Adaptive Visualizations
As digital information continues to accumulate in our lives, information visualizations have become an increasingly relevant tool for discovering trends and shaping stories from this...

Kerstin Dautenhahn – Hatfield, United Kingdom

Social Robotics A New Generation of Robots Built for People
Compared to how people interact with computer and other electronic devices, something ‘special’ happens when humans come in contact and interact with physical robots....

Gianluca Demartini – Queensland, Australia

Artificial Intelligence with Humans in the Loop
Crowdsourcing is a novel approach used to obtain manual data processing and annotation at scale. This can be used to create Artificial Intelligence systems with humans in the loop that can...

Chuck Easttom – Plano, TX, United States

The role of machine learning in cybersecurity
This talk explores the role that machine learning plays in cybersecurity. The latest trends are included. Defensive uses are explored. This includes using machine learning to improve the...

Robert James Fine – Washington, DC, United States

An Introduction to Virtual Reality and Healthcare
In this lecture, Robert reviews the current state of the virtual reality / augmented reality marketplace in the healthcare sector. He outlines the trends and successes, and points to those...

Charlie Fink – New York, NY, United States

How Augmented Reality Is Transforming Big Business Today
With a monocular display 1” from the dominant eye, workers no longer have to attention shift back and forth from plans or PCs to hand work. Learn how the world’s largest companies are...

João Portela Gama – Porto, Portugal

Data Stream Mining for Ubiquitous Environments
Data stream mining is, nowadays, a mature topic in data mining. Nevertheless, most of the works focus on centralized approaches to learn from sequences of instances generated from...
Evolving Social Networks: trajectories of communities
In recent years we witnessed an impressive advance in the social networks field, which became a ”hot” topic and a focus of considerable attention. The...

Dan Garcia – Millbrae, CA, United States

Following your passion: Graphics, Game Theory and Genealogy
This talk highlights the work of two "Research, Art, and Development" (RAD) student groups founded by Professor Dan Garcia in 2001, that have been active for almost twenty years. The UC...
GamesCrafters: Solving the World's Board Games with Computational Game Theory
The UC Berkeley GamesCrafters undergraduate research and development group explores the fertile area of combinatorial and computational game theory. While most students implement new games, others...

Jennifer Golbeck – College Park, MD, United States

Foretold Futures from Digital Footprints: Artificial Intelligence, Behavior Prediction, and Privacy
For a few years, we have been developing algorithms to predict individual attributes like personality traits, political preferences, and demographics. More recently, we have shown that AI combined...

Michael Gschwind – Yorktown Heights, NY, United States

Accelerating Deep Learning
As computing systems transform to become more responsive to human needs, Machine Learning and Deep Learning are poised to become key drivers of new cognitive computing systems....

Gururaj H L – Mysuru, India

Machine Learning and its Applications in Food Engineering
Learning techniques have been applied increasingly for food quality evaluation using computer vision in recent years. This lecture reviews recent advances in learning techniques for food quality...

Laura M Haas – San Jose, CA, United States

Data, Analytics, and the Dawn of the Cognitive Era of Computing.
We are poised on the brink of a new era of computing, one in which computers will increasingly partner with people to improve our lives and enhance our ability to solve complex problems....

James A Hendler – Troy, NY, United States

Knowledge Representation in the Era of Deep Learning, Watson and the Semantic Web
A burst in optimism (and unwarranted fear) has grown around a number of technologies that are high impact and able to solve problems that have challenged AI researchers for years. The...
Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity
As technology has increasingly brought computing off of the laptop and into our social domain, we see society more and more impacted by the interactions allowed by mobile technologies and...

Min-Yen Kan – Singapore, Singapore

Keywords, phrases, clauses and sentences: Topicality, indicativeness and informativeness at scales
Keyphrase extraction and generation are maturing NLP tasks that have grown in importance as the amount of digitally-born authored work grows. How are systems doing today and how can they...
Research Fast and Slow
Research has benefitted from the current age of accelerations, as evidenced from the increase in the publishing rate and volume of new scholarly work. We first characterise this research...
Serving the Readers of Scholarly Documents: A Grand Challenge for the Introspective Digital Library
The scholarly literature produced by human civilization will soon be considered small data, able to be portably conveyed by the network and carried on personal machines. This...
Towards Integration of Text Mining in the Digital Library
Text Mining is a maturing as a feasible area to mine information from scholarly texts. These mechanisms can now be run on our own scholarly output to better enable keywords, topic...

Salil Kanhere – Sydney, NSW, Australia

Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
A Brain-Computer Interface (BCI) acquires brain signals, analyzes and translates them into commands that are relayed to actuation devices for carrying out desired actions. With the widespread...

John Kaufhold – Arlington, VA, United States

Deep Learning Past, Present and Near Future
In the past 5 years, deep learning has become one of the hottest topics in the intersection of data science, society, and business. Google, Facebook, Baidu and other companies have embraced...

Fernando Koch – NY, United States

Disruptive Technologies and the Future of Society
The new generation of technology development -- including Computational intelligence, Cognitive Computing, Internet of Things, Social Computing and Virtual Reality, and others – will disrupt...
Evolution of Digital Education and Impact on Learning Performance
The evolution of Digital Education focuses on delivering the best quality education for all. The results will be the enhancement of society as a whole, impacting from health to happiness, from...
The New Era of Cognitive Computing Experience
In this lecture, we explain the nature of potential new experiences that the era of Cognitive Computing will require. Historically, human-computer interaction has progressed from...

Sven Koenig – Los Angeles, CA, United States

Cooperative Auctions for Agent or Robot Coordination
Teams of agents are more robust and potentially more efficient than single agents. However, coordinating teams of agents so that they can successfully complete their mission is a...
Planning for Large-Scale Multi-Robot Systems
Multi-robot systems are now being used in industry. For example, hundreds of robots navigate autonomously in Amazon fulfillment centers to move inventory pods all the way from their storage...
Recent Advances in Path Planning
Path planning is an important technology for a large number of applications, and most computer scientists are familiar with Dijkstra's algorithm. In this talk, I discuss recent advances in...

Anis Koubaa – Riyadh, Saudi Arabia

Drones and Artificial Intelligence
In this lecture, I present the recent advances in deep learning and convolution neural networks and their applications for unmanned aerial systems. The talk starts with an intuitive tutorial on...

Ashish Kundu – San Jose, CA, United States

Network Flow Security Analytics for IoT and Mobile Devices
Given that security threats and privacy breaches are commonplace today, it is an important problem for one to know whether their device(s) are in a "good state of...

Jian Ma – Pittsburgh, PA, United States

Machine learning algorithms for studying genome structure and function
Our understanding on how the human genome is organized and how it regulates complex cellular functions remains primitive. However, new algorithms may facilitate discovery through data integration...

Lauren Maffeo – Bethesda, MD, United States

Erase Unconscious Bias From Your AI Datasets
Advances in AI techniques like machine learning and deep neural networks have potential to save time and boost productivity. But what if we train these technologies using datasets that...

A. Cristiano I. Malossi – Rüschlikon, Switzerland

AI Automation for Scalable AI: From automation of NN architecture search, towards the acceleration of the full data science process
AI brings great promise for a new wave of unprecedented productivity across a multitude of industries. Recent AI models have demonstrated extraordinary results in Computer Vision, Natural Language...

Oge Marques – Boca Raton, FL, United States

Machine learning and its applications
This talk provides an overview of machine learning concepts, techniques and applications.

The field of machine learning has experienced...
Medical image analysis using deep learning
This talk provides an overview of the field of medical image analysis, with emphasis on the recent impact of increasingly popular deep learning techniques on the design and implementation of...
Practical Image Processing and Computer Vision Using MATLAB
This lecture presents an overview of useful image processing and computer vision algorithms and demonstrates how to quickly use them to build practical solutions implemented with MATLAB. It...
Using games to solve challenging multimedia problems
This talk discusses how we can use human computation methods to supplement traditional content analysis techniques and assist in the solution of hard multimedia problems. There are many...
Visual information retrieval: advances, challenges and opportunities

This talk presents an overview of Visual information retrieval (VIR), an active and vibrant research area, which attempts at providing means for organizing, indexing, annotating, and...

Gyana R Parija – New Delhi, India

Cogniculture: Collaborative Cognition in Social Machines
We define Cogniculture as the art, science, technology and business involved in the cultivation and breeding of cognitive agents (human and machines) living in a complex adaptive ecosystem...

Jon G Peddie – Tiburon, CA, United States

Augmented Reality, where we all will live
Philosophers, scientists, futurists, and other have speculated about the moment in time when computers will match, and quickly exceed, human processing speed, memory access, and ultimately...

Vishnu S Pendyala – San Jose, CA, United States

Machine Learning for Veracity of Big Data
Machine Learning is increasingly proving itself to be the mortar of modernization. The talk will examine how Machine Learning can be applied to the problem of veracity of Big Data,...

Pearl Pu – Preverenges, Switzerland

How People Perceive AI - Trust and Explanation
Trust is believed to be a central antecedent of any relationship: personal, familial, business, and organizational. Trust is difficult to build, but easy to break. As AI is becoming increasingly...

Shrisha Rao – Bangalore, India

Ethics in Artificial Intelligence
Artificial Intelligence (AI) systems are already widely used, and have the capacity to improve lives for billions of people going forward. However, AI systems, which are machines, are...
Social Consequences of Artificial Intelligence
One aspect of the contemporary world is our large reliance on computation in all aspects of personal life and social interaction. We are likely as not to decide which movie to watch, which...

Xipeng Shen – Raleigh, NC, United States

Exerting the Hidden Power of Compilers for Modern Computing---Experiences on GPU and Data Analytics
Born soon after the arrival of the first computer, as one of the oldest branches in Computer Science, Compiler Technology is often regarded as a mature field. Dr. Shen and his group have,...
Reciprocity between Compilers and Machine Learning
In this talk, Dr. Xipeng Shen will discuss two fundamental questions in two different disciplines: (1) Machine learning (ML) researchers have devoted decades of manual efforts, documented...
Towards Intelligent Programing Systems for Modern Computing
Modern computing exhibits new challenges, which includes the rapid increase of the volume and variety of data, the shift of computing towards cloud and IoT, and the fast development of...
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup
This paper presents Yinyang K-means, a new algorithm for K-means clustering. By clustering the centers in the initial stage, and leveraging efficiently maintained lower and upper bounds between a...

G R Sinha – Mandalay, Myanmar

CAD based Medical Image Diagnosis and Health Informatics
In modern diagnostic systems, most of advanced medical research centers and hospitals employ CAD (Computer-aided diagnosis) based system for better diagnosis and analysis of medical images....
Image Processing Tools for Improved Visualization and Analysis of Remotely Sensed Images for Agriculture and Forest Classifications
This lecture suggests Image Processing tools for improved visualization and better analysis of remotely sensed images. There are methods already available in literature for the purpose but the...
Study of Cognitive Ability of Human Brain
Cognitive ability is capability of human being is how does he/she recall; memorize; reconnect; recollect; identify; and classify various objects and persons. Neuroscientists and other researchers...

Biplav Srivastava – Yorktown Heights, NY, United States

AI Planning as an Enabler for Modern System Integration

Planning is a central technique in AI for automatically guiding an agent to its goals. From its initial days of application in robotics, it is seeing wider applications in...
Big, Open, Data and Semantics for a Real-World Application Near You

State-of-the-art Artificial Intelligence (AI) and data management techniques have been demonstrated to process large volumes of noisy data to extract meaningful patterns and drive...
AI Techniques for Intelligent Traffic Management
Traffic management is a pressing problem for cities around the world. Moreover, it is a highly visible perspective of a city's life affecting all aspects of its citizens' economic...
Semantic Web for Data Integration
This talk is a tutorial to make advanced undergraduate students and early researchers aware of semantic web techniques and learn to use them in everyday applications. This event will have a...
The Potential and Risks of Working With Conversation Agents ("Chatbots")
From the very start of Artificial Intelligence (AI), performing natural conversation has been a key pursuit of AI research and development. Their most recent form, chatbots, which can...
Understanding Approaches for Composition, Execution and Adaptation of Web Services

The demand for quickly delivering new applications is increasingly becoming a business imperative today. Application development is often done in an ad hoc manner, without standard...

Shan Suthaharan – Greensboro, NC, United States

Perceptually inspired deep learning: a low-dimensional visual understanding of deep learning's learning strategy
This lecture will discuss the modern deep learning techniques, called the no-drop, the dropout and the dropconnect, in detail using programming examples that can help one to understand the...

Michalis Vlachos – Lausanne, Switzerland

Interpretable and Scalable Recommender Systems
In this talk I describe a new class of recommendation techniques based on co-clustering, which is not only fast and accurate but it is also interpretable. I also show how GPU-accelerated versions...
Mining Compressed Time-Series Weblogs
I show techniques for compressing time-series data with very high fidelity. Then I introduce techniques for estimating the similarity between time-series in the compressed domain using...
Time Series Analytics
This is a tutorial that covers topics such such as time-series similarity and search, clustering and classification with applications in web pattern analysis, images, video and others.

Toby Walsh – Kensington, NSW, Australia

Allocation in Practice
How do we allocate scarce sources? How do we fairly allocate costs? These are two pressing challenges facing society today. I discuss three recent projects concerning resource and cost allocation....
Deceased Organ Matching
Thousands of people in Australia are waiting for a donated kidney. Matching donated organ to people on the waiting list is becoming increasingly challenging as road safety improves. In 1989, the...
Killer robots: the third revolution in warfare
The age of autonomous killing machines is closer than you think, and scientists and computer experts are deeply worried. Already autonomous weapons systems are under development, and some...
Many Fears About AI Are Wrong
Should you be worried about progress in Artificial Intelligence? Will Artificial Intelligence destroy jobs? Should we fear killer robots? Does Artificial Intelligence threaten our very...
What AI Can (and Can't) Do
AI is transforming our lives. What can it do? What will it do? What should we welcome or fear? It is clear that he next industrial revolution has started. However, there are many misconceptions...
Where the hard computational problems are?
Some computational problems are easy. We can sort numbers quickly for example. Other problems are hard. Scheduling jobs, routing trucks, these are all hard problems to solve. I will survey...

Ka-Chun Wong – Kowloon Tong, Hong Kong

Disruptive AI Technologies for Molecular Biology and Medicine: DNA Motifs, CRISPR-Cas9 Off-Targets, and Cancer Screening from Blood
In this talk, I will present my research group contributions in bioinformatics and health informatics in recent years. In particular, the unconventional and disruptive AI technologies are...

Tao Xie – Raleigh, IL, United States

Teaching and Learning Programming and Software Engineering via Interactive Gaming
Pex4Fun (http://www.pex4fun.com/) and Code Hunt (https://www.codehunt.com/), released by Microsoft Research, offer a web-based educational gaming platform for teaching and learning programming and...
Text Analytics for Mobile App Security and Beyond
Mobile apps are accompanied by a rich amount of natural language text: app descriptions, app user reviews, update/release notes, etc. Such natural language text is essential in conveying important...
Where the hard computational problems are ?
Some computational problems are easy. We can sort numbers quickly for example. Other problems are hard. Scheduling jobs, routing trucks, these are all hard problems to solve. I will survey...