The Minds of the New Machines | Research Horizons | Georgia Tech’s Research News

March 15th, 2018 Irfan Essa Posted in In The News, Machine Learning No Comments »

A nice write-up in Georgia Tech’s Research Horizons Magazine about ML@GT

Machine learning has been around for decades, but the advent of big data and more powerful computers has increased its impact significantly — ­moving machine learning beyond pattern recognition and natural language processing into a broad array of scientific disciplines. A subcategory of artificial intelligence, machine learning deals with the construction of algorithms that enable computers to learn from and react to data rather than following explicitly programmed instructions. “Machine-learning algorithms build a model based on inputs and then use that model to make other hypotheses, predictions, or decisions,” explained Irfan Essa, professor and associate dean in Georgia Tech’s College of Computing who also directs the Institute’s Center for Machine Learning.

Source: The Minds of the New Machines | Research Horizons | Georgia Tech’s Research News

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Real-Time Captcha Technique Improves Biometric Authentication | College of Computing

February 20th, 2018 Irfan Essa Posted in Computer Vision, In The News, Machine Learning No Comments »

A short write-up on one of my recent publications.

A new login authentication approach could improve the security of current biometric techniques that rely on video or images of users’ faces. Known as Real-Time Captcha, the technique uses a unique challenge that’s easy for humans — but difficult for attackers who may be using machine learning and image generation software to spoof legitimate users. The Real-Time Captcha requires users to look into their mobile phone’s built-in camera while answering a randomly-selected question that appears within a Captcha on the screens of the devices. The response must be given within a limited period of time that’s too short for artificial intelligence or machine learning programs to respond. The Captcha would supplement image- and audio-based authentication techniques that can be spoofed by attackers who may be able to find and modify images, video and audio of users — or steal them from mobile devices.

CITATION: Erkam Uzun, Simon Pak Ho Chung, Irfan Essa and Wenke Lee, “rtCaptcha: A Real-Time CAPTCHA Based Liveness Detection System,” (Network and Distributed Systems Security (NDSS) Symposium 2018).

Source: Real-Time Captcha Technique Improves Biometric Authentication | College of Computing

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TEDx Talk (2017) on “Bridging Human and Artificial Intelligence” at TEDxCentennialParkWomen

November 1st, 2017 Irfan Essa Posted in In The News, Interesting, Machine Learning, Presentations, Videos No Comments »

A TEDx talk that I recently did.
In this talk, the speaker takes you on a journey of how AI systems have evolved over time. DIRECTOR OF MACHINE LEARNING AT GEORGIA INSTITUTE OF TECHNOLOGY Dr. Irfan Essa is a professor in the school of Interactive Computing and the inaugural Director of Machine Learning at Georgia Tech. One of the fastest growing research areas in computing, machine learning spans many disciplines that use data to discover scientific principles, infer patterns and extract meaningful knowledge. Essa directs an interdisciplinary team studying ways machine learning connects information and actions to bring the most benefit to the most people. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
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Announcing the new Interdisciplinary Research Center for Machine Learning at Georgia Tech (ML@GT)

October 6th, 2016 Irfan Essa Posted in In The News, Interesting, Machine Learning No Comments »

Announcement from Georgia Tech’s College of Computing about a new Interdisciplinary Research Center for Machine Learning (ML@GT) that I will be serving as the Inaugural Director for.ML@GT

Machine Learning @ Georgia Tech Based in the College of Computing, ML@GT represents all of Georgia Tech. It is tasked with pushing forward the ability for computers to learn from observations and data. As one of the fastest growing research areas in computing, machine learning spans many disciplines that use data to discover scientific principles, infer patterns, and extract meaningful knowledge.

According to School of Interactive Computing Professor Irfan Essa, inaugural director of ML@GT, machine learning (ML) has reached a new level of maturity and is now impacting all aspects of computing, engineering, science, and business. “We are in the era of aggregation, of collecting data,” said Essa. “However, machine learning is now propelling data analysis, and the whole concept of interpreting that data, toward a new era of making sense of the data, using it to make meaningful connections between information, and acting upon it in innovative ways that bring the most benefit to the most people.”

The new center begins with more than 100 affiliated faculty members from five Georgia Tech colleges and the Georgia Tech Research Institute, as well as some jointly affiliated with Emory University.

Source: Two New Interdisciplinary Research Centers Shaping Future of Computing | Georgia Tech – College of Computing

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Research Blog: Motion Stills – Create beautiful GIFs from Live Photos

June 7th, 2016 Irfan Essa Posted in Computational Photography and Video, Computer Vision, In The News, Interesting, Matthias Grundmann, Projects No Comments »

Kudos to the team from Machine Perception at Google Research that just launched the Motion Still App to generate novel photos on an iOS device. This work is in part aimed at combining efforts like Video Textures and Video Stabilization and a lot more.

Today we are releasing Motion Stills, an iOS app from Google Research that acts as a virtual camera operator for your Apple Live Photos. We use our video stabilization technology to freeze the background into a still photo or create sweeping cinematic pans. The resulting looping GIFs and movies come alive, and can easily be shared via messaging or on social media.

Source: Research Blog: Motion Stills – Create beautiful GIFs from Live Photos

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