Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

How can large language models (LLMs) be improved to perform simple tasks, as they are often designed to perform complex tasks? This is what a recently subm | Technology ...

This paper proposes Auto-Ensemble (AE) to collect checkpoints of deep learning model and ensemble them automatically by adaptive learning rate scheduling algorithm. The advantage of this method is to ...

Agentic AI systems are revolutionizing how organizations approach complex workflows, introducing autonomous agents capable of multi-step reasoning, decision-making, and task execution that operate ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

EDIT: Just as we went live, we got bios updates from Gigabyte and MSI. See the video for more details. Today Leo discusses what has been going on behind the scenes in the last couple of days ...

In this paper, we present a novel resilient adaptive integrated sensing and communication (RAd-ISAC) framework. It aims to enhance ISAC systems for advanced driver-assistance systems (ADASs) to ...

How machine learning can slash grid losses and boost renewables In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and detecting faults ...