What is machine learning?
Machine learning is an application of artificial intelligence that includes algorithms that parse data, learn from that data, and then apply what they’ve learned to make informed decisions.
What is deep learning?
Deep learning is a subfield of machine learning that structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own.
What is blockchain technology?
Blockchain is a shared, immutable distributed ledger that facilitates the process of recording transactions. Virtually anything can be tracked and traded on a blockchain network, reducing risk and cutting costs for all involved.
What are zero-knowledge rollups (ZK-rollups )?
Instead of mining hundreds of blockchain transactions individually, they can be "rolled up" into a single transaction. This single rolled up transaction takes form as a validity proof, otherwise known as a succinct, non-interactive argument of knowledge (SNARK) or succinct, transparent argument of knowledge (STARK). SNARKs and STARKs are a cryptographic transaction hash that don't reveal the transaction data. Validity proofs prevent fraud without manual intervention or verification like fraud proofs, which makes transaction confirmation with ZK-rollups much faster and scalable than optimistic rollups.
What is Web3?
Web3 is verifiable, trustless, self-governing, permissionless, distributed and robust, stateful and has native built-in payments. Web3 applications either run on blockchains, decentralized networks of many peer to peer nodes (servers), or a combination of the two that forms a cryptoeconomic protocol. These apps are often referred to as dApps (decentralised apps). Cryptocurrency plays a large role in many of these protocols. Cryptocurrency provides a financial incentive (tokens of value) for anyone who wants to participate in creating, governing, contributing to, or improving the project or community. Users of dApps usually pay to use the protocol, and the payment (i.e. value) goes directly to the network participants.