Overcoming Incompatibilities and Unlocking New Possibilities by Combining AI and Blockchain
The post Overcoming Incompatibilities and Unlocking New Possibilities by Combining AI and Blockchain appeared on BitcoinEthereumNews.com.
Advertisement     At first glance, the realm of artificial intelligence (AI) and blockchain technology seem to be at loggerheads with one another, each demanding resources that seem incompatible with the other’s core principles. The blockchain, for example, focuses on decentralization and immutability while operating within certain constraints of limited memory and throughput (especially for on-chain activities). In contrast, AI thrives on massive training sets and requires high-performance computing to function effectively. To elaborate, AI systems typically process terabytes of data to train machine learning models, necessitating robust computing infrastructure and rapid data throughput. On the other hand, the blockchain operates on a decentralized network where data is stored in blocks, and multiple nodes verify transactions. This architecture inherently limits the amount of information that can be processed at any given time, leading to scalability issues that can significantly impede the performance of AI applications relying on real-time data processing and analysis. Another critical point of tension arises from the differing approaches to data management and privacy. While AI systems benefit from access to large datasets, often including sensitive information, the blockchain is designed to ensure data immutability and transparency. Advertisement   Lastly, the energy consumption associated with both technologies further complicates their relationship. For perspective, a single Bitcoin transaction is estimated to consume around 584 kWh of energy, equivalent to the average tri-weekly electricity consumption of a U.S. household. Evolving digital architectures to craft a better future Despite these fundamental challenges, a host of innovative offerings have emerged in recent years to help bridge the above-stated divide. They leverage the strengths of both sectors to create powerful, integrated solutions. One such example is the AO project (built on Arweave), which aims to integrate large AI models into smart contracts. To elaborate, the platform’s architecture allows for trust-minimized parallel computation,…
Filed under: News - @ August 14, 2024 9:21 am