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'The future of podcasting is adaptive, open and data ethical' aimed to provide an insight into what podcasting may look like in the near-future, using Object-Based Media. As it turns out, this future is exciting, and may be closer than it seems!

"Voice is natural, voice is human. That's why we're fascinated with creating usable voice technology for our machines. But most of that technology is locked up in a few big corporations and isn't available to the majority of developers. We think that stifles innovation so we're launching Project Common Voice, a project to help make voice recognition open to everyone. Now you can donate your voice to help us build an open-source voice recognition engine that anyone can use to make innovative apps for devices and the web."

"XIMPEL is a free open-source platform to create interactive media applications. To this end, it uses the HTML5 standard, as well as the open XML description format. Using XIMPEL, it is possible to weave together video, audio, images and other media, thus creating interactive videos and other touch-based web applications. XIMPEL's modular approach allows for flexibility and extendibility."

"TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well."

Open Hypervideo Environment presentation for BBC Adaptive Narrative event

MIT's Open Documentary Lab and IDFA's DocLab have joined together to put the long story of documentary innovation into perspective, and to speculate about its future.

Choreographed windows, interactive flocking, custom rendered maps, real-time compositing, procedural drawing, 3D canvas rendering... this Chrome Experiment has them all. "The Wilderness Downtown" is an interactive interpretation of Arcade Fire's song "We Used To Wait" and was built entirely with the latest open web technologies, including HTML5 video, audio, and canvas.

Recent Royal College of Art (RCA) design graduate David Hedberg's Smile TV is more than a loving homage to the good old 'campfire inside the living room.' Made from an open frame CRT monitor and equipped with a computer vision system, the unsuspecting television set turns the medium's engagement pattern on its head: instead of making you smile at on-screen silliness, you have to "smile to watch." Only when you do - and for as long as you do - will Smile TV reveal its otherwise scrambled broadcast. "This project grew out from experimenting with facial recognition and image manipulation," Hedberg explains over email.

"Big data opens up a hyper-personalised marketing opportunity - but creative treads a thin line between relevance and invasiveness"

Whichbook enables millions of combinations of factors and then suggests books which most closely match your needs. Click to open up to 4 sliders and move the to set your choices.

The engine of a non-linear video editor that can be used in all sorts of apps, not just desktop video editors. MLT is an open source multimedia framework, designed and developed for television broadcasting. It provides a toolkit for broadcasters, video editors, media players, transcoders, web streamers and many more types of applications. The functionality of the system is provided via an assortment of ready to use tools, XML authoring components, and an extensible plug-in based API.

We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests. The proposed model uses dimensionality reduction for preprocessing the Likes data, which are then entered into logistic/linear regression to predict individual psychodemographic profiles from Likes. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African Americans and Caucasian Americans in 95% of cases, and between Democrat and Republican in 85% of cases. For the personality trait "Openness," prediction accuracy is close to the test-retest accuracy of a standard personality test. We give examples of associations between attributes and Likes and discuss implications for online personalization and privacy.

"Today, we're excited to announce our first interactive "branching" narrative episodes Puss in Book: Trapped in an Epic Tale and Buddy Thunderstruck: The Maybe Pile, where Netflix members are in control of how the stories unfold. The intertwining of our engineers in Silicon Valley and the creative minds in Hollywood has opened up this new world of storytelling possibilities on Netflix. "

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Lyrebird is the first company to offer a technology to reproduce the voice of someone as accurately and with as little recorded audio. Such a technology raises important societal issues that we address in the next paragraphs.