By unifying data on the Databricks platform, the Vietnam bank has built AI capabilities to deliver hyper-personalised offers ...

The health care industry is increasingly relying on artificial intelligence—in responding to patient queries, for example—and ...

Idara E. Udofia of Reed Smith LLP discusses the historically maintained opt-out framework in U.S. data privacy laws while ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

Traceback gives CSPs, regulators and other ecosystem members visibility into the origins of fraudulent activities.

Jim Chalmers’ latest update to his long-awaited “wellbeing budget” shows it is relying on data up to four years old, despite being pilloried over the use of out-of-date information in its 2023 report ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

The 2025 Bioprocessing Summit revealed knowledge gaps and changing mindsets. As some companies look towards the future, ...

Abstract: This paper proposes an optimized filtering strategy for attitude data and terrain tracking data related to beam acquisition in multibeam bathymetry systems, addressing key challenges in ...