Brains and chains
- 1. AI With Blockchain By Eng .Felicity Mecha Community lead-AI Saturdays
- 2. AI ● building machines capable of performing tasks that seem to require intelligence ●
- 6. Machine Learning ● Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed
- 7. Characteristics ● Centralized databases ● High Abstraction levels(Neural Nets) ● Complex(learning) ● Fast decision making ● Automatic ● Data intensive
- 8. ●BLOCK CHAIN: ● Filing system for digital information, which stores data in an encrypted, distributed ledger format. Because data is encrypted and distributed across many different computers, it enables the creation of tamper-proof, highly robust databases which can be read and updated only by those with permission.
- 9. Blockchain ● data are stored in rigid structures called blocks, which are connected to each other in a chain through a hash
- 10. ... ● network can validate the transaction through different mechanisms, but mainly through either a “proof-of-work” or a “proof- of-stake”. A proof-of-work
- 11. Permission less vs Permissioned ● In the former case, anyone can access and read or write data from the ledger, while in the latter one predetermined participants have the power to join the network
- 12. Scalability ● as the number of participants and blocks grow, it is extremely hard to modify any information without having the network consensus.
- 13. Contracts ● (smart) contracts that are triggered by specific events and threshold and that are traceable and auditable without effort.
- 14. Initial Coin Offerings (ICOs) ● ICO is nothing more than a token sale, where a token is the smallest functional unit of a specific network
- 15. AI in Blockchain ● ai
- 16. Energy consumption ● Mining ● Scalability: “blockchain pruning”- deleting unnecessary data about fully spent transactions in order to not hold the entire blockchain on a single laptop
- 17. Security ● AI in block chain to guarantee a secure applications deployment ●
- 18. Privacy ● Homomorphic encryption (performing operations directly on encrypted data) ●
- 19. Efficiency ● running costs associated with validating and sharing transactions on the blockchain reduced by adding intelligence ● educe the network latency allowing then faster transactions;
- 20. Lack of talent ● Smart virtual agents that can create new ledgers
- 21. Data gates ● Data will be available on a block chain and companies will be able to directly buy them from us
- 22. Blockchain in AI
- 23. trustworthiness ● Validation of data model credibility and decision making process of the machine
- 24. Effectiveness ● a secure data sharing means more data (and more training data), and then better models, better actions, better results.
- 25. Market ● new marketplaces: a data marketplace (low- hanging fruit); a models marketplace (much more interesting); and finally even an AI marketplace ● data monetization mechanism
- 26. Trust ● Audit bots and ensure transparent decision msking ●
- 27. Risk management ● Smart contracts will make transactions more secure
- 28. Case study ● Singularity.net:- decentralized AI marketplace. ● companies can buy and sell A.I. algorithms, machine learning tools and data sets on a global scale, facilitating growth of the industry. ● Numerai—A.I. Hedge Fund: Numerai incentivizes the regular submission of predictions
- 29. Conclusion ● The Merging of the two technologies will add complexity to systems but it will be advantageous. ● Blockchain + AI = Future
- 30. AI Saturday
- 31. Contact me ● Email: felicitymecha@gmail.com ● Facebook: felicity mecha ● Twitter: fliquestarr ● Instagram: eng.felicity