Why We Don’t Talk Like Computers: Scientists Finally Have an Answer

Human language is structured to minimize mental effort by using familiar, predictive patterns grounded in lived experience.
IEEE

Toward Low-Resource Languages Machine Translation: A Language-Specific Fine-Tuning With LoRA for Specialized Large Language Models

Abstract: In the field of computational linguistics, addressing machine translation (MT) challenges for low-resource languages remains crucial, as these languages often lack extensive data compared to ...

86% Fake—100% Admissible? Rethinking Evidence in the AI Era

Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...
Opinion

New Platform Challenges AI Industry Hype, Advocates for Embodied Intelligence Over Language Models

Emerging Voice in Tech Analysis Questions Trillion-Dollar AI Valuations and Points to Robotics as True Future of Artificial Intelligence The real value of AI will come from the systems we build around ...
GitHub

Reverse Engineering: Decompiling Binary Code with Large Language Models

During compilation, the Preprocessor processes the source code (SRC) to eliminate comments and expand macros or includes. The cleaned code is then forwarded to the Compiler, which converts it into ...
GitHub

SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning

As Multimodal Large Language Models (MLLMs) develop, their potential security issues have become increasingly prominent. Machine Unlearning (MU), as an effective strategy for forgetting specific ...
IEEE

Local Binary Patterns and Extreme Learning Machine based Texture Classification of Marbles

Abstract: Separation of marbles into similar textures is a demanding and specialized process. In general, this process is carried out by experts. Marble plates with different textures to be placed in ...