Management systems and
GLOBAL E-COMMERCE : BLOCKCHAIN
Welcome to the future of transactions
BLOCKCHAIN AND AI : ECOMMERCE
Operational security and market capture
BLOCKCHAIN LOGISTICS MANAGEMENT
Optimize your business and achieve your logistics goals… at a fraction of your current cost
BLOCKCHAIN IN THE FOOD INDUSTRY
Take part in the Agricultural Revolution 2.0
Blockchain & AI for Music and Entertainments
“We need to constantly be open to new ideas and approaches, such as artificial intelligence (AI), and be willing to challenge assumptions.” – Marc Beniof , CEO of Salesforce
The way we listen to music has changed. Gone are the days of purchasing physical CDs and Vinyls. In the age of streaming, we can now pay a service to allow us to stream the music as long as we have access to the internet. The music industry is benefiting from this change, as long as they can keep up and not make some of the mistakes they have made in the past. Spotify is the most popular music streaming service with over 96 million subscribers and over 170 million users overall according to Matthew Field of The Telegraph. Apple music follows closely after at 72 million, and there are millions more using other services such as Tidal, Soundcloud, etc. According to Scott Cohen (music industry expert and co-founder of The Orchard) over 20,000 new songs are uploaded to Spotify daily. How does a streaming service such as Spotify go through all of these uploads and deliberately target them to the most relevant users based on their interests and music tastes? Artificial intelligence! The key to doing this? Data! Data drives artificial intelligence. The more data you can feed your algorithms, the better. According to Wouter de Bie, Spotify users “create 600 gigabytes of data” daily. In this era of streaming, the use of
artificial intelligence is working. Beyond marketing, A.I. is even assisting artists in the creative process by making new songs, and there are even A.I. powered virtual artists that can respond to audience feedback. The future may even bring about physiology-based music where wearable devices will read the body vitals of a user and moderate the song’s melody, genre, tonal quality, etc. to suit that person’s needs at the time. Here at Bushido, our wide and detailed social media and keyword analysis, along with our state of the art Blockchain technology, can provide our clients with all of the necessary data tools to begin utilizing A.I. to further their marketing and streaming goals. But what exactly is Blockchain? Blockchain for business uses a shared and immutable ledger that can only be accessed by members with permission. Network members control what information each organization or member may see, and what actions each can take. Blockchain is sometimes called a “trustless” network — not because business partners don’t trust each other, but because they
don’t have to. This trust is built on blockchain’s enhanced security, greater
transparency, and instant traceability. Beyond matters of trust, blockchain delivers even more business benefits, including the cost savings from increased speed, efficiency, and automation. By greatly reducing paperwork and errors, blockchain significantly reduces overhead and transaction costs, and reduces or eliminates the need for third parties or middlemen to verify transactions. We will be with you every step of the way in implementing all of the necessary technologies and strategies to go far beyond any client’s expectations. Please contact us for further details. Artificial Intelligence and Music have a long interaction, Alan Turing the godfather of Computers designed a machine in 1951 that generated simple melodies, music professors at Berkeley have generate classical music imitating computer generate music. Using Artificial intelligence one can target Music Fans based on their listening habits, keyword searches on music sites and search websites including social media , we can target certain tempos they like, body clocks ,physical activity and spending , harmonies and even frequencies can provoke different reactions in the human brain and what its interested in, music can be automatically generated , modified and enhanced to better target your audience taste.
IBM Watson was utilized by Alex da Kid to analize 5 yrs of hit songs , as wwell as cultural data from films , social media and online articles to create a Artificial intellegince generated song that fans would love, The sone “ not easy” REACHED NUMBER four on the iTunes Hot tracks chart within 48 hrs after its release.
Programs such as AIVA can analize deep learning algorithms to compose content for Youtube , twitch , Tik Tok and Instagram without having to pay royalties.
Our AI integrated Blockchain platform is in a unique position to remarkably transform diverse industries, and you can be a part of it today!
MAKING MUSIC USING NEW SOUNDS GENERATED WITH MACHINE LEARNING (AI)
An experimental physical interface for the NSynth algorithm from Google Magenta
NSynth Super is part of an ongoing experiment by Magenta: a research project within Google that explores how machine learning tools can help artists create art and music in new ways.
Technology has always played a role in creating new types of sounds that inspire musicians—from the sounds of distortion to the electronic sounds of synths. Today, advances in machine learning and neural networks have opened up new possibilities for sound generation.
Building upon past research in this field, Magenta created NSynth (Neural Synthesizer). It’s a machine learning algorithm that uses a deep neural network to learn the characteristics of sounds, and then create a completely new sound based on these characteristics. Rather than combining or blending the sounds, NSynth synthesizes an entirely new sound using the acoustic qualities of the original sounds—so you could get a sound that’s part flute and part sitar all at once. Since the release of NSynth, Magenta have continued to experiment with different musical interfaces and tools to make the output of the NSynth algorithm more easily accessible and playable. As part of this exploration, they’ve created NSynth Super in collaboration with Google Creative Lab. It’s an open source experimental instrument which gives musicians the ability to make music using completely new sounds generated by the NSynth algorithm from 4 different source sounds. The experience prototype (pictured above) was shared with a small community of musicians to better understand how they might use it in their creative process.
Magenta is a research project within Google that explores how machine learning tools can help artists create art and music in new ways.
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