AI Generated Broadcast Content

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The use of AI generated broadcast content has several advantages in journalism. One advantage is the ability to provide real-time translations or captions for live broadcasts. For example: AI can be used to:

  • analyze the audio or video feed in real-time and generate captions or translations on the fly, making the content more accessible to viewers who are deaf or hard of hearing or who speak a different language. This can help improve the inclusivity and reach of broadcast content
  • generate highlights of sports events, analyze players' performance, and provide real-time commentary or insights during a live broadcast
  • analyze weather data and generate forecasts & alerts


RadioGPT

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Media company Futuri has launched RadioGPT the world's first-ever radio platform powered by artificial intelligence.] RadioGPT uses Futuri Futuri]'s TopicPulse technology to scan online news sources and social media to identify topics and trends in local markets.

  • The platform then creates scripts for radio broadcasts — which are delivered on air by AI-generated personalities — using the same GPT-3 technology implemented by ChatGPT.
  • Futuri's technology can automate other processes as well, including creating website blogs, social media posts, short-form videos and converting on-air content into podcasts.

NewsGPT

uses artificial intelligence (AI) to generate news stories using a Large Language Model (LLM). NewsGPT does not have any human editors, so its news stories are not subject to human bias or error. NewsGPT also claims to be faster than traditional news outlets, as it can generate news stories in a matter of seconds.

Spotify DJ

Generative AI through the use of OpenAI technology. We put this in the hands of our music editors to provide you with insightful facts about the music, artists, or genres you’re listening to. The expertise of our editors is something that’s really important to our philosophy at Spotify. With generative AI tooling, our editors are able to scale their innate knowledge in ways never before possible.

Available through the “music” feed section in the Spotify mobile app, DJ personalizes users’ listening through a curated music selection that includes spoken-word commentary powered by a synthetic voice. The commentary includes light-hearted banter and contextual information that references specific songs and artists the user has previously listened to. Yes, it’s a little like a radio DJ that tailors its show for each individual. - Spotify expands its AI-powered DJ feature globally | Paul Sawers - TechCrunch

Television (TV)

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The television industry is being turned on its head by video streaming services that use machine learning (ML) to make entertainment more personalized, accessible, and automated than ever before. ... Machine learning is making TV and film more personalized, accessible, and automated than ever. In addition to customizing each user’s experience, machine learning is informing other steps in the TV show workflow—from coordination of logistics to how certain shows are recorded and produced. The end result has been an increase in the number of people who subscribe to streaming services, as well as the amount of streaming television that they watch.Machine Learning Makes TV More Watchable Than Ever

Can Samsung's AI upscaling really make TV images better? Artificial intelligence and machine learning aim to bridge the resolution gap between 4K and 8K TVs and the video actually available today.


Philips 2020 OLED: 'AI' video processor, 8K OLED prototype, more
Philips' picture quality guru, Danny Tack, demonstrates the latest 'AI' based video processor as well as future developments such as 8K OLED, intelligent burn-in protection, and "next level source perfection". More information here: http://www.flatpanelshd.com/focus.php?subaction=showfull&id=1580113886

Sony - New BRAVIA XR TV Announcement
The world's first cognitive intelligence TV*, BRAVIA XR enables you to completely immerse in an ultra-realistic visual and sound experience at home. Introducing BRAVIA XR Features: http://youtu.be/Z02epMU4Avs

Introducing Samsung’s Machine Learning Super Resolution (MLSR): 8K Picture Quality on TV through AI
Samsung’s Machine Learning Super Resolution (MLSR) utilizes AI technology to compare low and high-quality versions of the same content to learn the technological differences between the two and form a vast database. It analyzes millions of pieces of video content and finds a correlation. Based on its analysis, it can select the optimum filters that support brightness, the level of blackness, spread and other errors from all inputs, and transform low-definition content to close to 8K high definition. The input content is recognized as ‘real-time’ based on a frame and is enhanced by scenes, which makes it possible to upgrade image and sound quality immediately, regardless of whether the video source is live streaming or OTT (Over The Top). Other upscaling techniques require human input to compare low-resolution and high-resolution scenes and find ways to reconstruct them. However, Samsung’s AI Technology enables it to self-study millions of images on its own using MLSR, allowing much-improved accuracy compared to conventional technologies.

LG ThinQ AI Demonstration
Thomas TV-Guy

Android TV: How to shape the Future of TV with Operator Tier, Pierre Donath (3SS)
3SS - 3 Screen Solutions. Pierre Donath's speech at Google's Android TV workshop at Connected TV World Summit 2019! Our Product: http://3ss.tv/3ready/

VG SMART TV with Artificial Intelligence
VG India

Panasonic JZ2000 OLED TV First Look
... Elsewhere in the TV, the headline upgrades are a new HXC Pro AI Processor, cutting-edge HDR support, HDMI 2.1 functionality (plus a new Game Mode Extreme), and better speakers. The new processor promises to use AI to "analyze and detect what content is being viewed – whether that be sports, movies, news, etc – and automatically optimize both picture and sound quality". That's pretty much what all the AI processors from the likes of Samsung, Philips and so on do, but if it brings improved image quality to a model that was already right at the top of our list of the best TVs, then so much the better.

Smart Mirror Touchscreen (with Face ID) using Raspberry Pi 4 | Full Tutorial
Eben Kouao. You can find the compiled face detection image on our website: http://smartbuilds.io/

AI Showrunner | Simulation

Simulation is an AI showrunner that can create a fully animated TV episode from a single prompt. The AI Showrunner is a new AI application that can create 22-minute generative AI TV fan and parody episodes of popular shows. It uses a combination of AI and machine learning to generate realistic and engaging stories. The Showrunner was created by Philipp Maas, who is also the founder of The Simulation, a company that specializes in AI-powered entertainment. The Showrunner is still in its early stages of development, but it has the potential to revolutionize the way that TV shows are created. It could allow for the production of more creative and engaging content, and it could also help to reduce the cost of production. The AI Showrunner is a powerful tool that has the potential to change the entertainment industry. It could allow for the production of more creative and engaging content, and it could also help to reduce the cost of production. Here are some of the key features of the AI Showrunner:

  • It can create fully animated TV episodes from a single prompt.
  • It can generate realistic and engaging stories.
  • It can be used to create fan and parody episodes of popular shows.
  • It is still in its early stages of development, but it has the potential to revolutionize the way that TV shows are created.

Multimedia Broadcasting

Artificial intelligence (AI) is playing a significant role in the field of multimedia broadcasting, transforming how content is produced, distributed, and consumed. Here are several ways AI is being used in multimedia broadcasting:

  • Automated Captioning and Subtitling:
    • AI-powered speech recognition can automatically generate accurate captions and subtitles for live broadcasts, improving accessibility for hearing-impaired audiences.
  • Voiceovers and Dubbing:
    • AI-driven voice synthesis can generate natural-sounding voiceovers in multiple languages, making it easier to create content for a global audience.
  • Content Moderation:
    • AI can be used to automatically detect and filter out inappropriate content, ensuring that broadcasts meet regulatory standards and are suitable for all audiences.
  • Real-time Analytics:
    • AI algorithms can analyze viewer reactions and sentiments in real-time, helping broadcasters adjust content and marketing strategies on the fly to maximize engagement.
  • Content Indexing and Search:
    • AI can automatically tag and index multimedia content, making it easier for broadcasters to search and retrieve archived material quickly.
  • Automated Production:
    • AI-powered robotic cameras and directors can automate the filming and editing process, reducing production costs and improving efficiency.
  • Ad Insertion and Targeting:
    • AI can personalize ad content and insertion times based on viewer preferences, increasing ad effectiveness and revenue for broadcasters.
  • Quality Control:
    • AI can monitor broadcast signals in real-time, automatically detecting and alerting operators to technical issues, ensuring high-quality delivery.
  • Content Recommendation:
    • AI-driven recommendation systems suggest related content to viewers, keeping them engaged and increasing content consumption.
  • Real-time Translation:
    • AI can provide real-time translation for interviews or live events, making broadcasts accessible to a global audience.
  • Audience Engagement:
    • Chatbots and virtual assistants powered by AI can engage with viewers in real-time, answering questions and providing additional information.
  • Predictive Analytics:
    • AI can analyze historical data to predict viewer preferences and trends, aiding in content planning and scheduling.