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LLMs Show Bias in Police Recommendations Based on Amazon Ring Surveillance Footage

Researchers reveal inconsistencies in large language models' decisions, highlighting biases in surveillance contexts, especially regarding police recommendations influenced by neighborhood demographics.

24 Sep 2024

AI Dataset Revolutionizes Emergency Evacuation

Researchers have introduced the human behavior detection dataset (HBDset) for computer vision applications in emergency evacuations, focusing on vulnerable groups like the elderly and disabled.

11 Jun 2024

Deep Learning and Bayesian Regularization for Urban Planning

Researchers from South Korea and China present a pioneering approach in Scientific Reports, showcasing how deep learning techniques, coupled with Bayesian regularization and graphical analysis, revolutionize urban planning and smart city development. By integrating advanced computational methods, their study offers insights into traffic prediction, urban infrastructure optimization, data privacy, and safety and security, paving the way for more efficient, sustainable, and livable urban environments.

8 Mar 2024

Regulating Advanced AI: The Role of KYC Schemes in Ensuring Safety

In a proposal, researchers emphasize the need for the US government to mandate Know-Your-Customer (KYC) schemes for AI compute providers, especially cloud service providers, to address emerging security and safety risks associated with advanced AI models.

25 Oct 2023

Machine Learning in Defense: Ethical and Legal Insights

Researchers delved into the ethical and legal aspects of integrating machine learning in defense systems. They conducted a comprehensive analysis, using a case study and identified challenges, emphasizing the need for robust legal and ethical frameworks in this transformative field.

25 Oct 2023

Automated Visual Crowd Analysis: Advances, Challenges, and Open Problems

This review article delves into the research landscape of automated visual crowd analysis, highlighting its diverse applications in areas like city surveillance, sports event management, and wildlife tracking. It categorizes crowd analysis into six key areas and emphasizes the impact of deep learning in advancing crowd-monitoring systems.

7 Sep 2023

Cognitive Errors and LED Traffic Lights: A Virtual Simulation Study

Researchers utilized digital twins and virtual simulators to investigate cognitive errors related to LED in-ground traffic lights. While these lights have been effective in reducing pedestrian accidents, the study revealed that they can lead to misstarts among drivers.

5 Sep 2023

Enhancing Smart Cities with Dual-Branch Residual Networks for Urban Sound Classification

Researchers from China Jiliang University and Hangzhou Aihua Intelligent Technology Co., Ltd. propose a novel approach using dual-branch residual networks to enhance urban environmental sound classification in smart cities. By accurately identifying and classifying various sounds, this advanced system offers valuable insights for city management, security, environmental monitoring, traffic management, and urban planning, leading to more livable and sustainable urban environments.

2 Aug 2023