OSI Systems, Inc. ( NASDAQ:OSIS ), is not the largest company out there, but it saw a significant share price rise ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

Yet, Big Data—often perceived as a security risk—may actually be the most powerful tool we have to solve the data privacy paradox. The Dual-Edged Sword Of Data Modern enterprises are drowning ...

A LexisNexis data breach exposed sensitive information of over 364,000 people after hackers accessed their GitHub accounts in December 2024.

The discounted cash flow model is used to value companies in the present based on expectations of future cash flows. As the model's name implies, the expected cash flows are discounted back to ...

A deep learning framework, LSTM-SAM, uses transfer learning to predict storm-driven coastal flooding in areas with limited data. The model accurately forecasts water level changes by leveraging ...

At the AI Action Summit in Paris earlier this year, Meta's chief AI scientist, Yann LeCun, said he'd like to see a world in which "we'll train our open-source platforms in a distributed fashion ...

AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic compliance for modern enterprises.

Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most fundamental level, the goal is to ensure an organization’s entire body of data ...