Aivon

Artificial intelligence (AI) is a term for simulated intelligence in machines. These machines are programmed to “think” like a human and mimic the way a person acts. The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal, although the term can be applied to any machine that exhibits traits associated with a human mind, such as learning and solving problems.

AIVON believes that Internet and services on the Internet must be decentralized or else there is too much power in too few powerful hands. AIVON focuses on decentralizing and democratizing online video, giving power back to Internet users. The problem of having the power of the Internet in just a few hands is that there is little or no transparency and even if these few companies mean well, they are now so big that there are many ways to destabilize them. As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through methods such as optimal character recognition are no longer said to have artificial intelligence, since this function is now taken for granted as an inherent computer function.

In 2017, both Google and Facebook faced major scandals of bad actors taking advantage of loopholes in the system. Google’s YouTube was compromised multiple times with users posting content that was malevolent creating brand and content safety controversies. Facebook faced both a fake news problem and a data breach by Cambridge Analytica. This is why AIVON is applying blockchain to content and the underlying metadata that powers content cataloging, indexing, search, discovery, trade, and monetization, and AIVON believes that this will be the backbone of a decentralized video open network and search engine that could act as a check and balance on FAANG and BAT

  • Specialized AI algorithms will be deployed on mining nodes, so that miners’ CPU and GPU resources can be used to scan media files, generate the enhanced metadata including time-coded tags, classification, categories, transcripts and translations, and an index of the video objects.
  • AIVON platform will use AI to define a confidence score for each of several content safety attributes, such as nudity, adult, offensive language, hate speech, violence, guns, alcohol etc. These confidence scores will be combined into a vector called a ContentGraphTM which can be visualized as a bar graph.
  • AIVON uses a network of freelancers with skills in tagging, metadata management, transcribing and translation. AIVON will empower its community with tools which enable individuals to review, verify and correct the AI-derived metadata, including the categorizations, transcriptions, and translations.
  • AIVON nodes will record their metadata in JSON format anchored to the Ethereum blockchain. Most of the metadata will not be stored directly in the blockchain but linked to it using the EIDR identifier. This is because the size of the data can be quite large, especially when you include transcripts and translations. A ContentGraph can be visualized as a bar graph where content attributes are plotted along the horizontal axis and confidence scores plotted on the vertical axis. There will be attributes where the confidence is zero and the feature is not detected. The left-to-right ordering is reserved based on the schema, so that two or more ContentGraph patterns can be compared
  • AIVON believes the need for OVSE will be in high demand as video becomes harder to find and discover. While YouTube is viewed as a video search engine, it is really a video hosting platform and one can only find videos that users upload to YouTube, which is mostly user-generated and long tail content. Most premium content publishers typically do not upload their premium video content to YouTube, preferring to upload to their own video site or app.

Controversy Over Artificial Intelligence

Since its beginning, artificial intelligence has come under scrutiny from scientists and the public alike. One common theme is the idea that machines will become so highly developed that humans will not be able to keep up, and they will take off on their own, redesigning themselves at an exponential rate. Another is that machines can hack into people’s privacy and even be weaponized. Other arguments debate the ethics of artificial intelligence, and whether or not intelligent systems such as robots should be treated with the same rights as humans.

Self-driving cars have been the subject of controversy, as their machines tend to be designed for the lowest possible risk and the least casualties. While they remove the incidence of human error, this means that if they were put in a situation in which they had to decide between a collision with one person and a collision with another, they would calculate which option would cause the least amount of damage, but would still have to choose one. This is disconcerting to many people who believe that lives should not be put at the mercy of a machine.

Artificial Intelligence
Specialized AI algorithms will be deployed on mining nodes, so that miners’ CPU and GPU resources can be used to scan media files, generate the enhanced metadata including time-coded tags, classification, categories, transcripts and translations, and an index of the video objects.

Industry Problems
Problem 1: Online Video Is Global But Localization Is Big Issue
Online video is global but localization is big issue- Another challenging problem within the video industry is that least 80% of content on the Internet is accessible in only one of 10 top languages. Most videos on the internet are only accessible in a single
language, usually English. It means that video distribution is limited and much of the world is out of reach for content producers regardless of whether their videos are accessible through search engines and video platforms.
Solution
AIVON is a decentralized blockchain platform and protocol built on an Artificial Intelligence (AI) network and a community of human experts working together to generate normalized and enhanced metadata for video content.

Problem 2: Video Content Lacks Rich and Normalized Meta Data
Video Content lacks rich and normalized meta data- Metadata must also be normalized and standardized if it is to be used for better search and discovery. If the metadata isn’t normalized and standardized, such as when multiple uploaders upload the same
video to YouTube with different descriptions, you would get different metadata based on who is uploading it. Because humans are biased with their own perspectives, each human looking at the same video will come up with different metadata information and tags for that video.
Solution
ContentGraph
AIVON platform will use AI to define a confidence score for each of several content safety attributes, such as: nudity, adult, offensive language, hate speech, violence, guns, alcohol etc. These confidence scores will be combined into a vector called a ContentGraphTM which can be visualized as a bar graph.

Problem 3: Ensuring Content Safety For Brands And Viewers
Ensuring content safety for brands and viewers – One of the most challenging problems in the video industry is to ensure video content are safe for our children to watch and for brands to advertise on through access to metadata. Due to the number of online videos viewed daily especially by kids, the importance of video safety is becoming more and more important.
Solution
Human Expert
AIVON uses a network of freelancers with skills in tagging, metadata management, transcribing and translation. AIVON will empower its community with tools which enable individuals to review, verify and correct the AI-derived metadata, including the categorizations, transcriptions and translations.

Our Leaders

Rex Wong

Rex Wong is a serial entrepreneur with over 25 years of experience in internet, technology, media and software. Rex is the Chairman & Co-founder of iVideoSmart. He was CEO & Co-Founder of 8sian Media (acquired by uCast/Qello 2017), CEO & Co-Founder of DAVE.TV (acquired 2008), one of the first IPTV platforms, a founding investor of Applied Semantics that developed AdSense (acquired by Google 2003). He has had numerous exits creating over $1 billion in shareholder value.

SQ Lee

SQ Lee is the CEO & Co-founder of iVideoSmart. Previously he was VP Technology of 8sian Media and COO/CTO of Applied Mesh a fintech company. Prior to his entrepreneurship venture, he was Centre Director for the Infocomm Development Authority of Singapore in China. SQ holds a Master of Science in EE, specializing in Neural Network, from Stanford University.

U-Zyn Chua

U-Zyn Chua is the Principal Consultant and Blockchain Engineer of Zynesis, with more than a decade of experience in technology consulting. U-Zyn has been working on the technical aspects of Bitcoin, blockchain and decentralization technology since 2010. He started one of the earliest Bitcoin exchanges in Asia in 2011 and was the lead blockchain developer for the successful TenX token sale. U-Zyn has also conducted blockchain research for GovTech as part of his Smart Nation Fellowship.

Colman Ma

Colman Ma is the Director of Operations North America. He was formerly project manager of iVideoSmart responsible for the North America market. Prior to that he was handling Digital Media Operations of Carat USA. Despite not being an engineer by training, Colman has picked up Python programming.

Bill Claxton

Bill Claxton is a seasoned technology entrepreneur. He holds a certificate in BlockChain For Technical Executives and Analysts from B9Lab Academy in the UK and has spoken at various blockchain events. Bill has been active in the IT scene in Singapore for more than 20 years, was an early Bitcoin investor and most recently served as Operations Director of fintech startup KYC Chain.

Roger Essoh

Roger Essoh has started to work with open source technologies in 1995 when he founded his first IT company. He is also the former Open Source Director for Public Sector at Atos. Roger is a digital expert with more than 22 years of experience in IT & Consulting industry. He is an active entrepreneur, a venture partner, and a strategic advisor for various startups and companies in US, Europe and Asia.

Our Advisors

Michael Terpin

Michael Terpin is The Founder of Transform Group and co-founded BitAngels (www.bitangels.co), the world’s first angel network for digital currency start-ups. He also currently heads up the ICO investment committee for Alphabit Fund, a $300 million digital currency fund. Terpin has led the PR efforts for more than 150 blockchain companies and foundations, including Aeternity, Augur, Bancor, Ethereum, Factom, Gnosis, Golem Network, Lisk, MaidSafe, Qtum, Tether. Ongoing campaigns include Bittrex, Counterparty, Dash, Eos, Kraken, NEM, Neo, Storj and Shapeshift.

Kevin Chen

Kevin Chen is currently the CEO of Viscovery, a leading technology company in AI Computer Vision. He is also a Partner at GD1 Fund II L.P. and Pinehurst Advisors, which are both early stage tech funds in Taiwan and in Viscovery. His fund has invested in Maicoin, the largest crypto/blockchain company in Taiwan. Previously, he was COO of Laureate Education (China) and Managing Director of Ingram Micro (Hong Kong).

Jean-Baptiste Kempf

Jean-Baptiste Kempf is the president of the VideoLAN non-profit organization and one of the lead developers of the open source VLC media player. Since 2005 he has worked on or led most VideoLAN related projects, including VLC for desktop, the relicensing of libVLC, the ports to mobile operating systems, and various multimedia libraries like libdvdcss or libbluray. He also founded VideoLabs, a company focusing on open source multimedia technologies.

Jay Samit

Jay Samit is the author of Disrupt You! Master Personal Transformation, Seize Opportunity, and Thrive in the Era of Endless Innovation and an adjunct professor at USC. Previously, Jay was Vice Chairman of Deloitte Digital, CEO of SeaChange, a leading OTT video platform provider, EVP and GM of Sony Connect, EVP of New Media at EMI Music and VP of Digital at Universal. He has been an advisor for LinkedIn and EBay.

Jay Eum

Jay Eum is Co-Founder and Managing Director of TransLink Capital. Previously, he was Managing Director of Samsung Ventures where he established and led the US venture capital operations for Samsung. Over Jay’s 18-year career in venture capital, notable exits include Carbonite, DivX, InPhi, Intellon, PayPal, Pure Digital and YuMe. He is also an active investor and advisor to several ICOs including Askfm, Bee, ICON, Quantstamp, Refereum, and Telegram.

 

Author: walesodiya

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Email: walesodiya@gmail.com

LinkedIn: https://www.linkedin.com/in/wale-sodiya-4595a1164

BITCOINTALK PROFILE: https://bitcointalk.org/index.php?action=profile;u=2160355

Eth Wallet: 0xd5138067078B32BA7800b399bC77C49deaA3f2f5

 

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