Media
AI for artists : Part 2 – Towards Data Science
Music is a powerful tool that has made some of the most brilliant minds in the world turn into a state of wonder . Among them was Friedrich Nietzsche, Schopenhauer, Virginia Woolf and the list goes on. Nietzche in his book, Twilight of the Idols said that " Without music life would be a mistake" . In this article we will create music using simple LSTM network but before that let's get a brief idea about algorithmic composition which has occurred in the history of music composition. There are numerous treatises on music theory dating from Greek antiquity but they were not "algorithmic composition" in any pure sense.
What Brought 'Sense8' Back--and What Killed It in the First Place
I have a hard time recommending science fiction TV shows to anyone. Not because I don't watch and enjoy an inordinate amount of sci-fi (I do), but because when it comes to television, I'm John Wick levels of cursed. Everything I love--the stuff that's weird and complicated and doesn't just export Earth's injustices into space--is doomed. Today is a bright spot for the fans still wallpapering the internet with GIFs of Firefly, The Sarah Connor Chronicles, and all other genre shows cancelled but not forgotten. The Wachowski siblings' Sense8, a sci-fi drama that Netflix canceled last summer after two seasons, is returning today with a two-hour finale.
Amazon unveils the Fire TV Cube, a nearly hands-free streaming TV device
NEW YORK – Alexa for couch potatoes is coming: Amazon's new streaming TV device will let users shout out when they want to turn on the TV, flip channels or search for sitcoms -- all without pushing any buttons. The Fire TV Cube is not entirely hands-free yet, however. Some apps or streaming services may require viewers to pick up the included remote to rewind or stop a show. Inc. says it's working with those services to integrate voice commands. Amazon's other voice-controlled Fire TV devices require a push of the remote's mic button or a separate Echo device with Amazon's Alexa voice assistant.
'Westworld' Science Advisor Talks Brains and AI - Lovesick Cyborg
One of many hats that neuroscientist David Eagleman wears in real life is science advisor for HBO's science fiction show "Westworld." The show takes place in a futuristic theme park staffed by robotic hosts who seemingly exist only to fulfill the dark and violent fantasies of wealthy human guests who want to indulge adventure and vice in a Western-style playground for adults. But as the show hints from the very first episode, the robotic hosts are not necessarily content to remain subservient human playthings for too much longer. During season one of "Westworld," Eagleman took a break from his work as adjunct professor in the department of psychiatry & behavioral sciences at Stanford University to visit the show's writers and producers in Los Angeles and have an intense brainstorming session about the meaning of consciousness and the possibilities of artificial intelligence. As season two rolls toward its conclusion, Eagleman got on the phone to help separate the show's science fiction from science fact--and to talk about some intriguing real-world questions that may not have answers just yet.
r/MachineLearning - [P] 3D Object Detection for Autonomous Driving using Deep Learning
In this thesis we study a perception problem in the context of autonomous driving. Specifically, we study the computer vision problem of 3D object detection, in which objects should be detected from various sensor data and their position in the 3D world should be estimated. We also study the application of Generative Adversarial Networks in domain adaptation techniques, aiming to improve the 3D object detection model's ability to transfer between different domains. The state-of-the-art Frustum-PointNet architecture for LiDAR-based 3D object detection was implemented and found to closely match its reported performance when trained and evaluated on the KITTI dataset. The architecture was also found to transfer reasonably well from the synthetic SYN dataset to KITTI, and is thus believed to be usable in a semi-automatic 3D bounding box annotation process.
5 ways artificial intelligence is transforming document management
Whether you're aware of it or not, artificial intelligence (AI) has a ubiquitous presence in our lives today – think the personalised playlists on Spotify or the'Recommended for you' lists on Netflix, both of which use AI to curate a selection tailored just for you. Now its presence is being felt in the area of document management, with AI and cognitive computing set to revolutionise the ways in which we store, archive, process and extract information. Here are 5 ways AI is transforming document management systems . Automatic classification and processing - While OCR (optical character recognition) technology allows for text recognition, AI takes this a step further by being able to "read" the information on that document, classify it correctly and automate workflows based on that classification – all at a fraction of the speed a human could. While the system is initially guided by a set of rules, its identification and processing capabilities continue to improve using machine learning, meaning it is able to learn from repeated exposure to documents, as well as from the actions taken by employees upon those documents.
Google Pledges Not to Use AI for Weapons or Surveillance
The search giant had been formulating a patchwork of policies around these ethical questions for years, but finally put them in writing. Aside from making the principles public, Pichai didn't specify how Google or its parent Alphabet would be accountable for conforming to them. He also said Google would continue working with governments and the military on noncombat applications involving such things as veterans' health care and search and rescue.
UCLA faculty voice: Artificial intelligence can't reason why
Judea Pearl is chancellor's professor of computer science and statistics at UCLA and co-author of "The Book of Why: The Science of Cause and Effect" with Dana Mackenzie, a mathematics writer. This column originally appeared in the Wall Street Journal. Computer programs have reached a bewildering point in their long and unsteady journey toward artificial intelligence. They outperform people at tasks we once felt to be uniquely human, such as playing poker or recognizing faces in a crowd. Meanwhile, self-driving cars using similar technology run into pedestrians and posts and we wonder whether they can ever be trustworthy. Amid these rapid developments and nagging setbacks, one essential building block of human intelligence has eluded machines for decades: Understanding cause and effect.
Why Do A Master Of Management In Artificial Intelligence?
In a matter of years, the technology industry has embedded itself in virtually every aspect of modern life, and MBA programs are scrambling to catch up. The demand for business leaders with technical knowhow is not lost on both MBA students and business schools. In short: there is now overwhelming demand for MBA programs that sell the hard stuff in addition to the traditional leadership, management, quantity analysis package. Tech MBAs have increasingly become lucrative propositions for students who want to understand how to employ artificial intelligence (AI), for instance, within the context of a consulting gig. And master's programs are getting involved too. Smith School of Business at Queen's University, Canada, has just launched a Master of Management in Artificial Intelligence (MMAI), the first program of its kind in North America.