Risk Assessment News and Research

RSS

AI Predicts Post-Concussion Injury Risk With 95% Accuracy, Transforming Athlete Safety

Researchers at the University of Delaware have developed an AI-powered model that predicts the risk of musculoskeletal injuries in athletes after a concussion with 95% accuracy. By analyzing over 100 personalized factors, the tool offers a major step forward in injury prevention and post-concussion care.

22 Apr 2025

AI System Reveals How Tiny Doses of Pesticides Disrupt Entire Honeybee Colonies

Researchers have developed an AI-powered monitoring system that links individual honeybee exposure to neonicotinoid pesticides with colony-wide health effects. Even low-level exposure was shown to reduce pollen foraging efficiency, impacting the entire hive.

22 Apr 2025

AI-Powered Canopy Maps Revolutionize Wildfire Prediction Across Europe

Researchers developed the first high-resolution, pan-European maps of canopy fuels using satellite data and AI, addressing a critical gap in wildfire prediction and management.

16 Apr 2025

AI Risks Escalate as Advanced Models Gain Power and Autonomy

AI safety experts warn that rapid advancements in general-purpose AI pose increasing risks, from cyber threats to systemic economic impacts, urging better safeguards and international oversight.

2 Feb 2025

How OpenAI Is Pioneering Safer AI Systems Through Hybrid Red Teaming

OpenAI advances AI safety with a dual red teaming approach, integrating human expertise and automated systems to uncover vulnerabilities and enhance model resilience. This innovative framework fosters public trust by addressing risks transparently and proactively.

3 Dec 2024

Unlocking 6G with Quantum Security and AI Integration

Researchers envision a 6G future with ultra-fast, low-latency networks driven by AI, but heightened security risks demand innovative quantum-safe protections and privacy safeguards.

5 Nov 2024

AI Reconstructs Europe’s Climate Extremes, Transforming Climate Risk Analysis

AI reconstructs historical climate extremes in Europe from 1901 to 2018, filling data gaps and enhancing climate risk assessment.

4 Nov 2024

CYBERSECEVAL 3 Security Benchmark Evaluates Risks in LLMs

CYBERSECEVAL 3 introduces new security benchmarks to evaluate large language models like Llama 3, focusing on offensive security capabilities and risks. These benchmarks help assess and mitigate threats, advancing AI-driven cybersecurity for developers, end-users, and third-party applications.

5 Aug 2024

Optimized Sampling Enhances Landslide Prediction Accuracy

Researchers confirmed that partition-based sampling significantly improves landslide prediction models in Henan Province. The II-BPNN model, which utilized partition-based random sampling, outperformed other models in accuracy, recall, and specificity, showcasing the benefits of this approach for enhanced landslide susceptibility mapping.

21 Jul 2024

Deep Learning Reveals Regulatory Impacts on European Banking

Researchers utilized deep learning techniques to detect anomalies in the European banking sector, finding significant correlations between European Banking Authority events and banking anomalies.

19 Jul 2024

Smart Sensing and Predictive Analytics in Geotechnical Investigations

In their study published in the journal Smart Cities, researchers employed smart sensing and predictive analytics to address challenges in Japan's urban development and infrastructure resilience. Focusing on Setagaya, Tokyo, the research produced predictive models accurately determining critical bearing layer depths, crucial for government plans and construction risk assessments.

13 May 2024

Harnessing Intelligent Algorithms for Financial Management

Exploring the financial challenges faced by expanding enterprises like the ZH group, researchers present a strategic financial control strategy incorporating intelligent algorithms. Through practical implementation and theoretical analysis, they highlight the efficacy of reverse neural networks and particle swarm optimization in enhancing decision-making and mitigating financial risks.

2 May 2024

LSA-SVM Fusion Algorithm for Enhancing Power Network Security

Researchers proposed a fusion algorithm merging Lightning Search Algorithm (LSA) with Support Vector Machine (SVM) technology, forming an advanced Power Network Security Risk Evaluation Model (PNSREM), achieving high accuracy, low error rates, and rapid convergence. Empirical validation demonstrated its superiority, empowering preemptive threat identification, ensuring uninterrupted power system operation, and highlighting its potential for real-world application in enhancing power network security.

1 May 2024

Sentiment Analysis Reveals Public Perceptions of Coronary Artery Calcium Testing

Researchers employed AI techniques to analyze Reddit discussions on coronary artery calcium (CAC) testing, revealing diverse sentiments and concerns. The study identified 91 topics and 14 discussion clusters, indicating significant interest and engagement. While sentiment analysis showed predominantly neutral or slightly negative attitudes, there was a decline in sentiment over time.

15 Apr 2024

Random Forest Models to Enhance Real Estate Tax Compliance

Researchers detail advancements in using Random Forest (RF) models to pinpoint tax risks within real estate, providing insights into discrepancies between declared values and model judgments. By meticulously selecting indicators and leveraging historical data, the RF model emerges as a robust tool for tax risk identification, offering decision support for tax authorities and promoting improved compliance levels within the real estate industry.

4 Apr 2024

AI-Enhanced Video for Fall Risk Assessment

Researchers propose leveraging artificial intelligence and video technology to enhance fall risk assessment, ensuring privacy while providing rich contextual information. By utilizing AI to anonymize sensitive data in real-time video footage and complementing IMU gait characteristics with environmental context, a comprehensive understanding of fall risk is achieved without compromising privacy.

18 Mar 2024

A Tailored Machine Learning Approach for Opioid Overdose Detection

Innovative research introduces a lightweight, interpretable machine-learning classifier to identify opioid overdoses in emergency medical services (EMS) records. By leveraging custom feature engineering methods and robust model architectures, this approach demonstrates superior performance, paving the way for enhanced opioid surveillance and targeted harm reduction initiatives at the local level.

8 Feb 2024

Futuristic Attention-Based Models in Drug Development

This paper delves into the transformative role of attention-based models, including transformers, graph attention networks, and generative pre-trained transformers, in revolutionizing drug development. From molecular screening to property prediction and molecular generation, these models offer precision and interpretability, promising accelerated advancements in pharmaceutical research. Despite challenges in data quality and interpretability, attention-based models are poised to reshape drug discovery, fostering breakthroughs in human health and pharmaceutical science.

12 Jan 2024

Intelligent Vehicle Driving Risk Assessment in Multi-Vehicle Interaction Scenarios: A Comprehensive Review

This article critically reviews the challenges and advancements in intelligent vehicle safety within complex multi-vehicle interactions. Addressing data collection methods, vehicle interaction dynamics, and risk evaluation techniques, the study categorizes risk assessment into state inference-based and trajectory prediction-based methods. It underscores the need for deeper analysis of multi-vehicle behaviors and emphasizes the advantages and limitations of existing risk assessment approaches.

15 Dec 2023

Enhanced Gas Explosion Prediction in Coal Mines Using Intelligent Mining Systems

Researchers have developed an advanced early warning system for gas explosions in coal mines, utilizing real-time data from intelligent mining systems. The system, based on the Random Forest algorithm, achieved 100% accuracy in prediction, surpassing the performance of the Support Vector Machine model, offering a promising approach to improve coal mine safety through multidimensional data analysis and intelligent mining technologies.

5 Nov 2023