Jeffrey Epstein was a paedophile and convicted sex offender, among his many other “qualifications”. One would have thought that in any civilised society, such a man would be punished and socially ...

As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...

Abstract: Model checking is an automatic formal verification technique that is widely used in hardware verification. The state-of-the-art complete model-checking techniques, based on IC3/PDR and its ...

As roles evolve faster than traditional credentials can keep up, more organizations are rethinking how they define and assess talent. Skills-based hiring offers a way to widen talent pools, reduce ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples closely ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

A new research paper from Google DeepMind proposes a new AI search ranking algorithm called BlockRank that works so well it puts advanced semantic search ranking within reach of individuals and ...

Abstract: In the context of digital twins, projection-based model order reduction (MOR) plays a crucial role in real-time control, fault diagnosis and performance prediction, particularly when ...