Dynamic Sampling Of Video To Imagery For Deep Learning

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While today's deep learning systems are able to natively analyze video, the large file sizes of high resolution movies present unique challenges in terms of storage space and computational requirements. Sampling them into sequences of still images not only allows for real-time processing of unlimited-length videos but opens the door for creative new applications like "video ngrams." The most straightforward way to sample a video into a sequence of still images is to use a fixed-rate time-based mechanism such as one frame per second. This kind of sampling is supported natively by most tools like ffmpeg and provides a simplistic and robust workflow. At the same time, it is highly inefficient, especially for videos where there is a lot of repetition.


TTEC to Debut AI-Enabled Associate Assist Solution at Customer Contact Week (CCW) 2019

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TTEC Holdings, Inc., a leading digital global customer experience technology and services company focused on the design, implementation and delivery of transformative customer experience for many of the world's most iconic and disruptive brands, will be showcasing Associate Assist and other innovative technology solutions for AI-enhanced training, omnichannel interactions and journey orchestration during Customer Contact Week, June 24-27, in Las Vegas. TTEC creates employee experiences that increase engagement and designs, builds and operates customer experiences that deliver results. TTEC uses Intelligent Virtual Assistants (IVAs) to empower employees and deliver seamless service experiences that enable hyper personalization, increase response time and improve accuracy. Associate Assist augments associates by monitoring conversations between associates and customers and scanning through data to deliver the suggested next best action or response to the associate, in real-time. In addition, the solution establishes a closed loop, AI-enhanced, self-training knowledge base that is used not only to train new associates but also improve associate accuracy, efficiency and consistency.



New AI programming language goes beyond deep learning

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A team of MIT researchers is making it easier for novices to get their feet wet with artificial intelligence, while also helping experts advance the field. In a paper presented at the Programming Language Design and Implementation conference this week, the researchers describe a novel probabilistic-programming system named "Gen." Users write models and algorithms from multiple fields where AI techniques are applied -- such as computer vision, robotics, and statistics -- without having to deal with equations or manually write high-performance code. Gen also lets expert researchers write sophisticated models and inference algorithms -- used for prediction tasks -- that were previously infeasible. In their paper, for instance, the researchers demonstrate that a short Gen program can infer 3-D body poses, a difficult computer-vision inference task that has applications in autonomous systems, human-machine interactions, and augmented reality.


Preparing For Tomorrow's Workforce In A World Run By Machines

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Our increasing fascination with the hyper-performance of machines, smart software and AI is casting a shadow over our elusive and ephemeral'human-only skills.' As our working environments shift dramatically it's time for a change in our performance metrics, too. My recommendation comes in the form of'Key Human Indicators,' designed to protect and encourage human agency in our future workforces. The current dialogue around the future of work is dominated by digitisation, cognification, automation and what I describe as the '10 Megashifts' in my recent book Technology vs Humanity. The conversation, however, rarely considers the humans in this equation.


Hanson Robotics Limited Partners with Embody Digital to Advance Social Robot Communication Skills - Hanson Robotics

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About Hanson Robotics Limited Hanson Robotics is an AI and robotics company dedicated to creating living, intelligent machines that enrich people's lives. The company develops renowned robot characters, such as Sophia, the world's first robot citizen, which serve as AI platforms for scientific research, education, healthcare, sales and service, entertainment, and other research and service applications. Hanson Robotics' scientists, artists, roboticists, and engineers strive to bring robots to life as true friends who deeply understand and care for people, and collaborate with us in pursuit of ever-greater good for all. For more information please visit www.hansonrobotics.com.


Why Machines Need to Dream

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Dreams are, for the most part, delightful. As we sleep, visual and audio fragments combine into nonsensical snippets and epic narratives. Loosely recalled moments merge with vivid, imagined scenes; we interact with characters known and characters conjured up; we explore our fantasies and, sometimes, face our fears. Yet sleeping and dreaming do not exist for our nocturnal pleasure alone. As we slumber, our brains filter information collected in waking hours.


Knowledge Graphs And Machine Learning -- The Future Of AI Analytics?

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The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the always-online society, powers all the incredible advances we see today in the field of artificial intelligence (AI) and Big Data. With this in mind, a great deal of thought and research has gone into working out the best way to store and organize information during the digital age. The relational database model was developed in the 1970s and organizes data into tables consisting of rows and columns – meaning the relationship between different data points can be determined at a glance. This worked very well in the early days of business computing, where information volumes grew slowly. For more complicated operations, however – such as establishing a relationship between data points stored in many different tables - the necessary operations quickly become complex, slow and cumbersome.


IoT, AR, VR to beyond with 5G - Connected World

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For this column let's consider how IoT (Internet of Things) technologies and 5G will impact medicine and healthcare. Just for a moment I think it's really important to imagine what our society will look like when we imagine real possibilities for technology beyond what we ever dreamed possible. From teaching empathy to med students to enabling telemedicine and telesurgery, the impact of technologies like AR (augmented reality), VR (virtual reality), AI (artificial intelligence), wearables, and robotics in medicine and healthcare are wide ranging and far reaching. With 5G, the possibilities seem even more endless. There are so many exciting applications of IoT technologies in the medical field.


IoT, AR, VR to beyond with 5G - Connected World

#artificialintelligence

For this column let's consider how IoT (Internet of Things) technologies and 5G will impact medicine and healthcare. Just for a moment I think it's really important to imagine what our society will look like when we imagine real possibilities for technology beyond what we ever dreamed possible. From teaching empathy to med students to enabling telemedicine and telesurgery, the impact of technologies like AR (augmented reality), VR (virtual reality), AI (artificial intelligence), wearables, and robotics in medicine and healthcare are wide ranging and far reaching. With 5G, the possibilities seem even more endless. There are so many exciting applications of IoT technologies in the medical field.