Many researchers have been interested in healthcare cybersecurity for a long time since it can improve the security of patient and health record data. As a result, a lot of research is done in the ...

Recent reports have predicted that publicly available, relevant data necessary for training AI models is expected to run out by 2026. The global AI market is projected to reach $1.8 trillion by 2030 — ...

Based on an analysis of the blockchain characteristics, this article proposes that this technology can drive digital transformation of enterprises from the following perspectives. (1) Building a new ...

Blockchain and generative AI have become the most transformative forces, reshaping industries worldwide. While each technology has independently made waves with its revolutionary potential, the true ...

Blockchain and artificial intelligence: the two most era-defining technologies of our time. Each has been a mighty, groundshifting force in its own right, like Godzilla and King Kong in their ...

Blockchain could be used to keep a check on the data artificial intelligence models are being trained on to avoid issues like bias, executives told CNBC at the World Economic Forum in Davos. One of ...

Rapidly evolving AI, and humans’ experience with it, unearths a litany of economic and societal issues related to intellectual property rights, individual privacy, transparency, security and other ...

Pri advises clients on IP, data privacy, and technology matters, including strategic commercial and licensing arrangements, M&A, and other corporate transactions. Matthias advises and represents ...

Every major failure in decentralised finance — Terra/Luna, Celsius, FTX — was, at its root, a failure of causal understanding. The protocols knew their current state. They had no model of how that ...

The Draft Guidelines provide an overview of blockchain technology and its implications for the processing of personal data. They also address the unique challenges posed by the blockchain’s ...

Valuing blockchain networks today feels like déjà vu for anyone who lived through the early internet era. In the 1990s, analysts, investors, and founders struggled to apply familiar financial models ...