Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

As AI and quantum collide, we get huge leaps in power — along with a scramble to secure our data, trust the results and brace ...

Overview Robotics has become one of the most transformative fields in recent times, shaping work, manufacturing, healthcare, ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...

Getting good at LeetCode Java can feel like a puzzle sometimes, right? You see all these problems, and you’re not sure where ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Microscopy plays a pivotal role in modern biomedical research, enabling the visualization of fine structures in complex ...

Terpenoids are among the most pharmacologically valuable plant metabolites, yet their biosynthetic gene clusters in ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...

In a buyer-led world defined by AI, trust has become the driver of early buyer preference and long-term revenue.