Robinhood is working on a blockchain-based platform aimed at enabling traders in Europe to access U. S. financial assets, according to two sources familiar with the matter who spoke to Bloomberg. The new platform is reportedly considering integration with three blockchains: Arbitrum (ARB), Ethereum (ETH), and Solana (SOL). This initiative will involve a partnership with a digital asset firm, the report notes. Tokenized assets have emerged as a key area for traditional financial institutions seeking deeper involvement in the crypto space.
Several companies have already launched tokenized funds, with some analysts projecting the market could expand to $23. 4 trillion by 2033. Tokenization involves creating a digital token on the blockchain that represents a traditional asset. This process enhances data security, enables faster settlement of transactions, and increases liquidity, among other benefits.
Robinhood Develops Blockchain Platform for European Access to US Financial Assets
Amazon has announced a major $15 billion investment to build new data center campuses in Northern Indiana, aiming to boost artificial intelligence (AI) infrastructure and innovation in the region.
To improve safety and integrity within online communities, social media platforms are increasingly adopting artificial intelligence (AI) tools specifically designed for video content moderation.
Artificial intelligence (AI) is swiftly revolutionizing the field of search engine optimization (SEO), significantly impacting how websites are ranked across diverse search platforms.
Photo: VCG In a complex global environment marked by technological competition and cooperation, recent news from across the Pacific holds significant weight
Optimove has launched its AI Marketing Tools Hub, a resource leveraging AI to help marketing teams work faster and autonomously across campaigns.
Artificial intelligence (AI)-powered dog and cat plushies could potentially double sales this year, according to manufacturers at Asia’s largest toy fair held in Hong Kong.
Eighteen months ago, artificial intelligence (AI) development seemed poised to avoid the pitfalls of social media, such as consolidation under a few dominant tech firms and the monetization of consumer attention through surveillance and advertising.
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