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AI for Broadcsaters, Future Has Already Begun… AI for Broadcsaters, future has already begun… By Dr. Veysel Binbay, Specialist Engineer @ ABU Technology & Innovation Department 0 Dr. Veysel Binbay I have been working as Specialist Engineer at ABU Technology and Innovation Department for one year, before that I had worked at TRT (Turkish Radio and Television Corporation) for more than 20 years as a broadcast engineer, and also as an IT Director. I have wide experience on Radio and TV broadcasting technologies, including IT systems also. My experience includes to design, to setup, and to operate analogue/hybrid/digital radio and TV broadcast systems. I have also experienced on IT Networks. 1/25 What is Artificial Intelligence ? • Programs that behave externally like humans? • Programs that operate internally as humans do? • Computational systems that behave intelligently? 2 Some Definitions Trials for AI: The exciting new effort to make computers think … machines with minds, in the full literal sense. Haugeland, 1985 3 Some Definitions Trials for AI: The study of mental faculties through the use of computational models. Charniak and McDermott, 1985 A field of study that seeks to explain and emulate intelligent behavior in terms of computational processes. Schalkoff, 1990 4 Some Definitions Trials for AI: The study of how to make computers do things at which, at the moment, people are better. Rich & Knight, 1991 5 It’s obviously hard to define… (since we don’t have a commonly agreed definition of intelligence itself yet)… Lets try to focus to benefits, and solve definition problem later… 6 Brief history of AI 7 Brief history of AI . The history of AI begins with the following article: . Turing, A.M. (1950), Computing machinery and intelligence, Mind, Vol. 59, pp. 433-460. Brief history of AI 9 11 12 13 Some achievements In 1997, Deep Blue beat Gary Kasparov. 14 Some achievements Watson defeats DeepMind AlphaGo defeats Go CMU’s Libratus defeats Jeopardy champions achieves human- champion (2016) top human poker (2011) level players (2017) performance on many Atari games (2015) 15 When the world’s greatest Go player Lee Sedol was facing off against AlphaGo in a Korean hotel room in 2016, more than 200 million people around the globe tuned in to see this historic match, which ended with a triumph for the Google machine. What they were interested in was not simply seeing a machine beating the 18-time world champion at this enormously complex Chinese board game, but also getting a glimpse at how far artificial intelligence (AI) technology has progressed in terms of replicating the intuitive decision-making process humans have. It was clear many were baffled by AlphaGo’s ingenious moves. 16 17 How it works? 18 How it works? Neural Networks 19 20 21 22 23 24 25 26 27 28 AI State of the art - applications . AI achievements: . Facilitate and replace human decision making World- class chess and game playing . Robots . Automatic process control . Understand limited spoken language . Smarter search engines . Engage in a meaningful conversation . Observe and understand human emotions . Solving mathematical problems . Discover and prove mathematical theories . … 29 Watson . IBM’s Artificial Intelligence computer system . Capable of answering questions in natural language . Competed against champions on Jeopardy and won 30 High-Level Architecture used in Watson 31 . Specifics . 16 Terabytes of RAM . Can process 500 gigabytes (1 million books) per second . Content was stored in Watson’s RAM rather than memory to be more easily accessed . Cost about $3 Million 32 Watson’s sources of information . Encyclopedias . Dictionaries . Thesauri . Newswire articles . Literary works . Databases, taxonomies, and ontologies. Wikipedia articles . And more 33 GPT-3 (Generative Pre-trained Transformer-3) On May 28, 2020 a preprint by a group of 31 engineers and researchers at OpenAI described the development of GPT-3, a third-generation "state-of-the-art language model". The team increased the capacity of GPT-3 by over two orders of magnitude from that of its predecessor, GPT-2, making GPT-3 the largest non-sparse language model to date. 34 GPT-3 (Generative Pre-trained Transformer-3) GPT-3 can "generate news articles which human evaluators have difficulty distinguishing from articles written by humans,“ https://www.theguardian.com/commentisfree/2020/sep/08/ robot-wrote-this-article-gpt-3 35 Practical world: Tech giants and broadcasting media companies are embracing this futuristic technology and infusing it throughout production workflows and video libraries. And, as noted in a 2019 report by the International Telecommunication Union (ITU), the rewards of using AI in broadcast are significant – from increased efficiency and flexibility to cost savings during program production. 36 37 Practical world: The BBC research and development team in 2018 tapped AI machine learning algorithms to delve into the treasures of the BBC archive. Computers trawled through thousands of hours of legacy content dating back to 1953, using information from past scheduling, content metadata and other program attributes, and generated programming across two full days, branded as “BBC 4.1.” 38 Practical world: For the first time in 2016, Watson, IBM’s AI technology, was programmed to find areas of high action or high emotion from the movie Morgan and make those selects to help an experienced editor create a trailer. 39 Practical world: Netflix’s unmatched recommendation system, in which algorithms analyze and detect patterns from data related to users' viewing habits to suggest the right content tailored to each of its users. On the platform, more than 75 percent of viewer activity is influenced by the recommendation algorithm, according to the U.S. streaming service which has 167 million subscribers worldwide. This AI-driven recommendation engine results in a richer and personalized experience for consumers, which in turn leads to constant revenue generation for the brand. 40 Practical world: 41 Practical world: Practical world: 43 Practical world: 44 Potential AI applications for broadcasters: Quality Check Search Metadata (generation and process) Compliance (restrictions, regulations…) Editing Highlighting Advertising Subtitling and Close captioning Supervision Even presenting the News!... 46 You have all the sources already available: Microsoft: https://azure.microsoft.com/en-us/overview/ai- platform/ Google: https://cloud.google.com/products/ai Google’s Vision API: https://cloud.google.com/vision/ 47 You have all the sources already available: IBM: https://www.ibm.com/my-en/services/artificial- intelligence IBM’s Watson : https://www.ibm.com/cloud/watson-assistant-2/ Amazon: https://aws.amazon.com/ai/ 48 You have all the sources already available: idealsys: https://www.idealsys.com/ideal-cloud VSN: https://www.vsn-tv.com/en/artificial-intelligence- applications-broadcast-and-media/ Limecraft: https://www.limecraft.com/features/ 49 You have all the sources already available: And many more… 50 My suggestion: wait no more… 51 Dr. Veysel Binbay 52.
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