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

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

Available Speakers on this Topic

Rizwan Ahmed – Nagpur, India

AI ? The Key to Scaling Cyber Defence? Systematic identification, Intelligent automation, Ability to action and Use Cases
This talk will cover various technical aspects related to Artificial Intelligence for scaling Cyber Security. This talk will cover following specific...
Artificial Intelligence: Opportunities & Threats
This talk will cover various technical aspects related to Artificial Intelligence. This talk will cover following specific topics:

•

Enrique Alba – Malaga, Spain

Intelligent Systems for Smart Cities
The concept of Smart Cities can be understood as a holistic approach to improve the level of development and management of the city in a broad range of services by using information and...
Parallel Experiences in Solving Complex Problems
This lecture introduces the basic concepts of two fields of research: parallelism and metaheuristics. We will revise the main concepts, tools, metrics, open issues, and application domains related...
Parallel Multiobjective Optimization
This lecture introduces the basic concepts of two fields of research: Parallelism and Multiobjective optimization. Dealing with complex problems means optimizing a given metric, like the...
World Strategies for Artificial Intelligence
In this lecture we will make an introduction to Artificial Intelligence (AI), its impact in our lives, and the need for a regulation in modern societies. We will then move to anlyze the different...

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...

Tarek R. Besold – Barcelona, Spain

Creativity Computational and Otherwise -- The science and the fiction
Computational Creativity -- treating with systems that exhibit behaviours that observers would deem creative -- has been garnering increasing attention over the last few years. In this talk we...
Developing Trustworthy AI for the 21st Century - An Applied View
AI-based systems are becoming more and more ubiquituous in our daily life, from smart home assistants and voice recognition in smartphones to AI-supported medical devices and autonomous vehicles....
Developing digital solutions to the mental health challenges of the 21st century
Mental health is one of the big challenges of the 21st century, both on an individual and on a societal level. A growing number of groups in industry and academia are currently developping digital...
Symbols, Networks, Explanations - A complicated menage a trois
Discussions surrounding questions of interpretability (or even: explainability) in AI and ML are gaining in popularity in academia and industry. I will briefly characterise four notions of...

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 – Kolkat, India

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...

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...

Polo Chau – Atlanta, GA, United States

Secure and Interpretable AI: Scalable Interactive and Practical Tools

We have witnessed tremendous growth in Artificial intelligence (AI) and machine learning (ML) recently. However, research shows that AI and ML models are often vulnerable to...

Geeta Chauhan – Santa Clara, CA, United States

AI @ Edge using Intel NCS
The new generation of hardware accelerators are enabling rich AI driven, Intelligent IoT solutions @ the edge.

The talk will showcase how to use...
Best Practices for On-Demand HPC
Traditionally HPC has been popular in Scientific domains, but not in most other Enterprises. With the advent of on-demand-HPC in cloud and growing adoption of Deep Learning, HPC should now...
Decentralized AI: Convergence of Blockchain and AI
As we move into a world where User's will own their own data, and companies will use "Ethically Sourced Data", there will be a rampant need for Decentralized AI. And,...
Deep Learning for Medical Imaging
The talk covers use cases, special challenges and solutions for Deep Learning for Medical Image Analysis. You will learn about:

- Use cases for Deep...
Distributed Deep Learning Optimizations
This talk will cover how to build and deploy distributed deep learning models at scale. You will learn how to parallelize your models, and techniques for optimizing your cluster for faster...

Abbas Cheddad – Karlskrona, Sweden

Image Processing in Data Science: Current prospects and future challenges
This lecture delves into the discipline of digital image processing (DIP). It highlights several applications of DIP in the contemporary world. The applications range from handwritten string...
Medical Image Analysis: a computational approach in diabetes research
Medical imaging is a scientific field that applies digital image processing and analysis to medical scanned images in order to address a specific medical issue. It is a multidisciplinary area that...

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...

Aswani Kumar Cherukuri – Vellore, India

Spill the beans: Artificial Intelligence (AI), Machine Learning (ML) & Deep Learning (DL)
With rapid developments in the field, Artificial Intelligence (AI) is progressing from narrow AI to general AI. Narrow AI is aimed at executing specific tasks successfully even at times...

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...

Rik Das – Ranchi, India

An Image Data based perspective on Data Science, Machine Learning and Deep Learning
Recent times have observed frequent usage of terms like data science, machine learning and deep learning and that too interchangeably in most of the cases. Nevertheless, these terms are...
Is Traditional Image Processing a lost art? : Relevancy check in deep learning era
A surge of deep learning techniques has automated the process of image classification. Traditional techniques of image classification are essentially categorized in two different steps,...
Machine Learning Engineer to Machine Learning Scientist: A journey with Image Processing
This talk bridges the relation between image processing and machine learning. There are numerous youngsters who all are willing to build a career in this particular domain and are...
Machine Learning for non Coders: Your turn to become a ML Expert
This talk has covered the aspects for embracing machine learning by non coders from different backgrounds having a eye for detail. Machine learning is synonymous to modern day craze...

Kerstin Dautenhahn – Hatfield, Canada

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...

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...

Andrew Glassner – Seattle, WA, United States

A Citizen's Crash Course in Artificial Intelligence
Artificial intelligence algorithms are making significant impacts in almost every field that involves technology, from language translation and medical diagnosis to self-driving cars and...
A Crash Course in Deep Learning for Techologists
Deep Learning refers to a collection of algorithms that are making significant impacts in almost every field that involves technology, from language translation and medical diagnosis to...
How AI Will Transform Our Culture and Society
Will you get a promotion or raise at your job? Will you be accepted into the university you're hoping for? Can you have surgery for a medical problem? Will you get that loan you...

Javier Gonzalez-Sanchez – Tempe, AZ, United States

Artificial Emotional Intelligence
This lecture presents a pragmatic view of the machine learning workflow to build Emotion AI. Emotion AI (artificial emotional intelligence) is a subset of artificial intelligence that...

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....

Celestine Iwendi – Uppsala, Sweden

Exploring Opportunities in Covid-19: Artificial Intelligence & Security
AI tools have been registering numerous successes in major disease areas such as cancer, neurology and now in new coronavirus SARS-CoV-2 (Covid-19) detection, Prediction and in the long run,...
Security of Intelligence of Things and AI 2.0 - Enabling a Sustainable Future
The future of Intelligence of Things and Artificial Intelligence (AI) encompasses advanced cognitive methods capable of doing what ordinary machine learning (ML) and deep learning (DL) systems...

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...

Wajahat Ali Khan – Derby, United Kingdom

Healthcare Problems and Machine Learning Solution
This lecture focus on the healthcare problems with solutions provided by machine learning. Machine learning supports the healthcare domain and add efficiency and reliability. It starts with the...

Anis Koubaa – Riyadh, Saudi Arabia

Deep Learning and Neural Networks 101: Getting Started with AI
Deep Learning and Neural Networks are currently the world's most exciting technologies that have substantially affected almost all of the Information and Communication Technologies areas...
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...

Dongwon Lee – State College, PA, United States

Combating False Information
The recent world-wide rise of “false information” (that includes rumor, clickbait, fake news, hoax, misinformation, and disinformation) has caused significant confusion and disruption...

Antonio Lieto – Turin, Italy

Cognitive Heuristics for Commonsense Thinking and Reasoning in the next generation Artificial Intelligence
Commonsense reasoning is one of the main open problems in the field of Artificial Intelligence (AI) while, on the other hand, seems to be a very intuitive and default reasoning mode in humans and...
The Cognitive Paradigm in the Artificial Intelligence Research
In the last decades, the research in Artificial Intelligence (AI) has reached remarkable results in a variety of fields ranging from computer vision to language technologies. Despite these...

Seng Loke – Melbourne, VIC, Australia

Cooperative Vehicles: is this the Future of Transport?
The connected automated vehicle holds great promise for revolutionising transport. Advanced technologies including extensive sensing and Artificial Intelligence (AI) algorithms have enabled such...

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...

Koushik Mondal – Dhanbad, India

Building Computational Models with Keras and Tensorflow
Artificial Intelligence (AI) technologies like machine learning and deep learning are powering exciting new possibilities. Deep learning is one of the most data-intensive tasks due to large...
Data Mining and Data Analysis Applications with R/Python
The most two profound high level programming languages in the era of Artificial Intelligence (AI) are R and Python. With the advancement of the computing environments, people are engaging...
Machine Learning: A gateway for Predictive modelling and Time Series Data Analysis
Engineering, Science and Commerce have received an exciting power boost and opening new possibilities due to invent of emerging technologies like transfer learning and machine learning. The types...

Joanna Isabelle Olszewska – Cheltenham, United Kingdom

Developing Intelligent Vision Softwares

Intelligent Vision Softwares are present everywhere in our Society from street surveillance cameras to airport e-gates, from drones to AUVs, from m-health services...
Explainable Algorithms for Intelligent Vision Systems

Intelligent Vision Systems, which are systems able to automatically process visual inputs such as raw still pictures or live video feeds, whatever they are equipped with...
Vision Agent Ontologies
With the growth of AI agents in our daily life, people are increasingly asked to interact with these intelligent agents, which are most of the time equipped with camera(s) and/or systems...

Kayal Padmanandam – Hyderabad, India

Machine Learning Taxonomy
Machine learning is an application of Artificial Intelligence that provides the system with the ability to learn and decide automatically through algorithms and statistical models. This...

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...

Junaid Qadir – Lahore, Pakistan

Adversarial Machine Learning and Vehicular Networks: Strategies for Attack and Robust Defense
Machine learning (ML) has seen a lot of recent success in a wide variety of applications and industries. But despite their great success, researchers have shown that ML algorithms are easy to fool...
Big Data For Human Development
With the explosion of social media sites and proliferation of digital computing devices and Internet access, massive amounts of public data are being generated on a daily basis. Efficient...
Caveat Emptor: The Risks of Using Big Data for Human Development
"Big Data" has the potential to facilitate sustainable development in many sectors of life such as education, health, agriculture, and in combating humanitarian crises and violent...

Lakshmana Kumar Ramasamy – COIMBATORE, India

AI and ML for Hyperautomation
As the industry is moving towards 4.0, we need a mix of automation technologies and artificial intelligence that, when combined, augment humans’ capabilities, allowing them to complete...
Applications of Blockchains in the Internet of Things

The blockchain technology has revolutionized the digital currency space with the pioneering cryptocurrency platform named Bitcoin. From an abstract perspective, a blockchain is a...
Artificial Intelligence and Blockchain in Industrial Internet of Things (IIoT)
The emerging blockchain technology and the artificial intelligence(AI) shows promising potential to enhance industrial systems and the Internet of things (IoT) by providing applications...
Blockchain for Business
Blockchain is a shared, immutable ledger that facilitates the process of recording transactions and tracking assets in a business network. Virtually anything of value can be tracked and...
Resolving Security Issues in Artificial Intelligence and IoT Systems Using Blockchain Technology
Blockchain is one of the most hyped innovations these days, and it has been gaining a lot of traction as a horizontal technology to be widely adopted in various ?elds. Since its inception,...
Security Services Using Blockchain Technology
Recently, blockchain technology has attracted tremendous interest from both academia and industry. The technology currently spans several applications that are popular and driving...

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...

NANDHINI S S – ERODE, India

Artificial Intelligence and its applications
Artificial intelligence being the hot topic of the technological world comprises of many foreground technologies. The lecture aims at delivering the basics of AI and the applications of AI...

Vijayalakshmi Saravanan – Rochester, NY, United States

Current and Future Trends in Architecture-specific research problems
The architecture of the processor describes its basic components and its operation. Due to the advancements in chip architecture and big data, data is flowing everywhere. We need to address...
Introduction to Data Science using Python Programming
Big data is the buzzword now. It refers to large amount of data collected, stored and processed using big data technologies and tools. Hence, at first we need to understand the foundations...
Perspectives on Big data, Machine learning and AI
Motivated by recent advancements in AI and Data Science in various research areas, in this tutorial, we plan to emphasize the importance of these techniques and highlight how it helps to predict...
Software Engineering and Data science
In this tutorial, we focuses on the software engineering challenges in building scalable and available big data systems.

The key topics...

Johannes Schöning – Bremen, Germany

Next Exit Future: How Artificial Intelligence change the way we navigate from A to B
Millions of people use platforms such as Google Maps to search for routes to their desired destinations. Complex algorithms and artificial intelligence (AI) decides where to turn next....

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...

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...

Mauro Vallati – Huddersfield, United Kingdom

Knowledge Configuration for AI solvers
Given an off-the-shelf solver and a symbolic representation of a problem to be solved, a way for improving performance is the configuration of the parameters of the solver. Such parameters allow...
Knowledge Engineering for AI Planning
Automated Planning is one of the most prominent AI challenges; it has been studied extensively for several decades and led to numerous real-world applications. Recently, Automated Planning...
Planning and Scheduling Approaches for Urban Traffic Control
The current increase in urbanisation, coupled with the socio-economic motivation for increasing mobility, is pushing the transport infrastructure well beyond its capacity. Traditional urban...

Sundar Vedantham – Allentown, PA, United States

Thought Experiments: An Inexpensive Tour of the Entire Universe
Is there a connection between the COVID-19 pandemic, four students who skipped a class to watch a movie, Greek philosopher Socrates, and a clock tower in Switzerland? Yes, these are all involved...

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.

Sunil Kumar Vuppala – Bangalore, India

Automation and AI Transformational Journey
The talk covers transformational journey of automation and AI from retrospective to predictive, Role of Machine Learning and Deep learning in intelligent automation, Usage of different...
Computer Vision Overview and Applications
The talk covers overview of computer vision, role of deep learning in computer vision and applications across the industries.
Deep Learning Essentials and Applications
The talk will cover essentials of deep learning - what is deep learning, why is it needed, why the hype now, how deep learning works - forward/backpropagation and where it can be used? The...
Recommendation Systems and Applications

The talk covers overview of recommendation systems, various techniques, evaluation and applications across the industries.
Research problems in Big Data and Data Science
The talk covers introduction of big data and data science, high level research problems in 5 categories: Core Big data area to handle the scale, Handling noise and uncertainty in the data,...

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...

Elad Yom-Tov – Hoshaya, Israel

Crowdsourced Health: How what you do on the internet will improve medicine
The majority of Internet users report that they search the web for information on their medical concerns. Data generated during this process have proven to be a fruitful source for medical...