Feral hogs in Georgia cause an estimated $150 in agricultural damage each year. Supported by a $25,000 Georgia Peanut Commission grant, the one-year Night Owl project is a collaboration between Kennesaw State assistant professors Taeyeong Choi and Yan Fang, and University of Georgia agricultural economist Ford Ramsey is aimed to curb the losses with an autonomous drone system.

KAIST researchers have developed a technology that can enhance the creativity of text-based image generation models such as Stable Diffusion without additional training, allowing AI to draw creative chair designs that are far from ordinary.

A key differentiator from early research is that Cassie was developed to be emotionally responsive, using facial recognition to read the user’s expressions and adjust its tone accordingly. 

In a recent article published in Engineering, researchers Li Guo and Jinghai Li from the Chinese Academy of Sciences explore the future development of artificial intelligence (AI), emphasizing the need for consistency in the logical structures of datasets, AI models, model-building software, and hardware. They argue that while current AI systems excel at handling statistical properties of complex systems, they face challenges in effectively representing spatiotemporal complexity patterns. The authors propose integrating principles of multilevel complexity into AI development to enhance its functionality and reliability in engineering applications.

In the field of Large Language Models(LLMs) vertical applications, the innovative direction of deeply integrating foundational LLMs with industrial scenarios has emerged. Researchers have developed an intelligent decision support system for CNC system fault diagnosis, utilizing LLMs and domain knowledge graph(KG) technologies. This advancement effectively overcomes the limitations of typical expert systems in symbolic reasoning efficiency and accuracy. The study, published in Engineering, provides insights and methods for the practical application of industrial large models.

New research from the University of Georgia is shedding light on how different countries are preparing for how AI will impact their workforces.

Artificial intelligence (AI) can effectively support doctors in making diagnoses. It makes different mistakes than humans—and this complementarity represents a previously untapped strength. An international team led by the Max Planck Institute for Human Development has now systematically demonstrated for the first time that combining human expertise with AI models leads to the most accurate open-ended diagnoses.