Al-cademia: How A.I., Blockchain & Machine Learning Can Revolutionize Scholarly Work
summary
Panel argues concrete experiments: drones with onboard AI locate meteorites and fund expeditions by selling tokens that share revenue with crypto investors, DAOs allocate research grants to broaden who votes on funding, and blockchain timestamps papers and peer reviews to build a verifiable reviewer reputation. Claims include combining immutable on-chain data with machine learning for better prediction models, issuing research as NFTs or access keys, and an expected 5–10 year horizon to solve regulation, bad actors and noisy data before systems scale.
AI-written summary · about
chapters (4)
- 0:00Start
- 2:00How's the Research Funded and How Can It Be More Decentralized
- 21:47How and Why Is Blockchain Important
- 23:13Where Do You See the Industry in the Next Five to Ten Years
related talks
22mAI & Blockchain: New solutions that actually work
10mWhy the Future of AI Depends on Blockchain
49mBlockchains for Artificial Intelligence
11mThe Future Of A.I, Blockchain And Crypto Through The Medium Of NFT's
17mKeynote: Breaking Boundaries - Blockchain as a Catalyst for Social, Environmental and Economic Scale
03mProject Updates
39mSuccessful AI driven startups
22mAI and Blockchain Shaping The Future