AI News, Blockchain artificial intelligence

Running Artificial Intelligence on the Blockchain

- Part 1: AI on Blockchain — What’s the catch?- Part 2: AI Smart Contracts — The Past, Present, and Future- Part 3: Running Artificial Intelligence on the Blockchain- Part 4: Cortex AI on Blockchain Ecosystem- Part 5: AI on Blockchain Use Cases Smart contracts, known to be used with the blockchain technology, is a computer program that directly controls the transfer of digital currencies or assets between parties under certain conditions.

Earlier works of AI used methods like A*, fuzzy logic, expert systems, and good old-fashioned AI (GOFAI), the same if-then rules that are used in coding most applications including smart contracts.

Deep Blue, the AI created by IBM that defeated the world chess champion Garry Kasparov in 1997, used a method called search algorithms to evaluate millions of moves at every turn.

Nowadays, advanced statistics and data are readily available on the internet such as Basketball-Reference.com for NBA statistics and Kaggle, a heaven for data scientists to discuss their findings and gather datasets.

Alpha Go, developed by Google, used a combination of machine learning and tree search techniques which was trained with a database of around 30 million moves then used reinforcement learning, a subset of machine learning, to play against itself to improve its play.

Let’s take an example, as shown in the image above, the parameters of the original deep learning neural network are float variables that need 32-bits storage space.

If the model can be converted into a state with only three values (-1, 0, +1), the storage would only take up 2-bits, which significantly compresses the storage space.

With model compression and quantization in place, Cortex proposed “Synapse”, an integer inference engine to do deterministic AI inference, to make machine learning accessible on the blockchain.

UAE Government Launch National Blockchain Technology and Artificial Intelligence Initiatives

At the Second United Arab Emirates (UAE)  Government Annual Meeting held in Abu Dhabi, the region’s authorities launched two national platforms targeted at reinforcing the UAE’s artificial intelligence (AI) and blockchain technology ecosystems and ultimately make the state a hotbed for new technologies, reported the Emirates News Agency on November 28, 2018.

Distributed ledger technology (DLT) has shown in recent times that it has groundbreaking potentials to revolutionize a vast array of industries and the Government of the United Arab Emirates, like several other forward-thinking nations are making serious efforts to be at the frontline of the blockchain movement.

Importantly, organizers of the programmes have also hinted they would carry out extensive surveys to determine the jobs that are most impacted by AI and New technologies and reduce the number of employees in those sectors, while also training the replaced workers to fit into other areas of the economy.

Blockchain + AI = Decentralized Artificial Intelligence

What happens when we take two hottest technologies of today, AI and Blockchain, and put them together? Watch this talk by Siraj Raval to get the answer!

How Blockchain Will Produce Self-Aware AI

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The A.I. / Blockchain Connection...(???)

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Blockchain Consensus Algorithms and Artificial Intelligence

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The Convergence of Blockchain, Machine Learning, and the Cloud | Steve Lund | TEDxBYU

Technologies such as Blockchain, machine learning, artificial intelligence and the Cloud have now been tested and validated by the market, creating a ...

Shoucheng Zhang: "Quantum Computing, AI and Blockchain: The Future of IT" | Talks at Google

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Open AI & The Blockchain Singularity - There's A Digital Storm Coming!

Recap: the 2018 Blockchain Economic Forum in San Francisco The 2018 Blockchain Economic Forum (BEF), held in San Francisco from June 16-19, has been ...

Artificial Intelligence Using Blockchain! The Coming Singularity! Part 1

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#AI Powered #Blockchain

AI Powered #Blockchain processes over a million transactions per second by using Associative Intelligence.