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Google Sets 2029 Deadline to Deal With Quantum Threat—Is It a Problem for Bitcoin?

Google has announced a 2029 deadline to address the potential threats posed by quantum computing to cryptographic systems, including those used in Bitcoin. Quantum computers could potentially break the cryptographic algorithms that secure cryptocurrencies, raising concerns about their long-term viability. Experts suggest that the crypto industry must proactively develop quantum-resistant technologies to safeguard digital assets. The urgency of this issue is underscored by the rapid advancements in quantum computing capabilities. As the deadline approaches, collaboration between tech companies and the crypto sector will be crucial to mitigate these risks.

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Australia Lays Groundwork for Tokenized Asset Markets After RBA Project

Australia is advancing its tokenized asset markets following a project by the Reserve Bank of Australia (RBA) that explored the use of central bank digital currencies (CBDCs). The RBA's initiative aimed to assess the potential benefits and risks of CBDCs in facilitating tokenized assets. The Australian government is

BitGo teams with ZKsync to build tokenized deposit infrastructure to bring banks onchain

BitGo has partnered with ZKsync to develop a tokenized deposit infrastructure aimed at integrating traditional banks into the blockchain ecosystem. This collaboration seeks to enhance the security and efficiency of digital asset management for financial institutions. The new infrastructure will leverage zero-knowledge technology to ensure privacy and compliance. By facilitating

Elon Musk's X hires crypto-savvy design lead as X Money payments push inches closer

Elon Musk's social media platform X has appointed a new design lead with expertise in cryptocurrency as it moves closer to launching X Money, its payment service. This hire is part of Musk's broader strategy to integrate financial services into the platform, enhancing user engagement and

Google Shrinks AI Memory With No Accuracy Loss—But There's a Catch

Google has developed a new AI memory technique that reduces the memory footprint of machine learning models without sacrificing accuracy. This advancement allows for more efficient storage and processing of AI data, potentially enhancing performance in various applications. However, the method comes with a trade-off, as it may require more

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Australia Lays Groundwork for Tokenized Asset Markets After RBA Project

BitGo teams with ZKsync to build tokenized deposit infrastructure to bring banks onchain

Elon Musk's X hires crypto-savvy design lead as X Money payments push inches closer

Google Shrinks AI Memory With No Accuracy Loss—But There's a Catch