What AI builders can learn from fraud models that run in 300 milliseconds

Mastercard's Decision Intelligence Pro uses recurrent neural networks to analyze 160 billion yearly transactions in under 50 ...
Microsoft

A one-prompt attack that breaks LLM safety alignment

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 ...

Are LTMs the Next LLMs? This New Type of AI Can Do What Large-Language Models Can’t

Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets.

Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
IEEE

Oxide Thin-Film Transistor and Circuit Modeling Using Artificial Neural Network

Abstract: The oxide thin-film transistors (TFTs) have developed rapidly in the past years and are entering more and more commercial applications, such as display drivers and dynamic random access ...
GitHub

Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
IEEE

Use of SysML for Quantitative System Reliability and Availability Analysis

Abstract: In projects using Model Based Systems Engineering (MBSE) and SysML, it is now possible to easily perform reliability/availability modeling and prediction ...