Every online bank transfer, private message and Bitcoin transaction rests on the assumption that some math problems are ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Your business can reach customers from around the world using multilingual SEO to help any shopper find your ecommerce site.

Abstract: The widespread use of virtual assistants (e.g., GPT4 and Gemini, etc.) by students in their academic assignments raises concerns about academic integrity. Consequently, various ...

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 ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Anthropic installed an AI-powered vending machine in the WSJ office. The LLM, named Claudius, was responsible for autonomously purchasing inventory from wholesalers, setting prices, tracking inventory ...

UniNMT In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data. Our proposed approach utilizes a transfer-learning approach ...