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Computer vision has made significant progress in recent decades, with steady improvements in the performance and robustness of computational methods for real-time detection, recognition, tracking, and modeling

Creating a computer "personality" is as much an art as it is a science, and it's a challenge that more and more software designers are grappling with.

"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."

Future Macs may adjust their audio depending on where you're sitting or standing - and based on how many folks are in a room. Apple has filed for a patent (number 20170249122) for "devices with enhanced audio." The patent involves a system for enhancing audio including a Mac and an output device. The Mac includes a sensor configured to determine a user location relative to the computer. The sensor is also configured to gather environment data corresponding to an environment of the computer.

"rtificial intelligence already pervades 21st-century life, from Siri's directions to Netflix's suggestions of what you should watch next. But how much emotional intelligence is inside computers, cell phones, and video game consoles? In the past, the answer has been "none" - even the most complex deep learning machine is still a machine. That's changing, though, thanks in part to Nevermind, a video game that can sense players' emotions and adjust the experience to fit."

Powering Computer Conversation

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.

"this project is bringing the power of computer vision and image processing to the Web. By extending the spec of Media Capture and Streams, the web developers can write video processing related applications in better way. The primary idea is to incorporate Worker-based JavaScript video processing with MediaStreamTrack."

@BetweenMyths: MIT Media Laboratory #PerceptualComputing http://t.co/UCKuV2MX #PerceptiveMedia http://twitter.com/BetweenMyths/status/167646815288705024