Tag: Machine learning

AIScienceTechnology

Machine Learning Models Enhance Seismic Impact Assessment in Western China

New machine learning approaches are transforming how scientists assess earthquake impacts in Western China. By analyzing multiple ground motion parameters, researchers have developed models that significantly improve accuracy in seismic intensity evaluation.

Breakthrough in Seismic Assessment Technology

Researchers have developed advanced machine learning models to improve instrumental seismic intensity assessment in Western China, according to recent scientific reports. The new approach leverages random forest (RF) and multilayer perceptron (MLP) algorithms to analyze relationships between multiple ground motion parameters and macro-intensity, potentially transforming how earthquake impacts are evaluated in the immediate aftermath of seismic events.

by Priya Kapoor
AICybersecurityTechnology

Visa’s $1 Billion AI Counteroffensive Against Evolving Fraud Schemes

Visa has reportedly disrupted over $1 billion in fraud using sophisticated AI systems that analyze psychological triggers and criminal infrastructure. The company’s global network and public-private partnerships enable rapid detection and dismantling of transnational scam operations.

AI Arms Race in Financial Security

Financial institutions are facing an escalating battle against artificially intelligent fraud schemes, with sources indicating Visa has deployed machine learning systems to intercept approximately $1 billion in attempted scams before they reached consumers. According to reports, the company achieved this milestone in September through what analysts describe as an “AI versus AI” confrontation, where defensive systems must continuously outperform criminal applications of the technology.

by Priya Kapoor
AICybersecurityFintech

AI Fraud Prevention Market Expands as Deepfake Threats Surge 704%

Deepfake attacks bypassing identity verification have increased by 704% according to recent threat intelligence. The global AI fraud detection market is projected to reach $31.69 billion by 2029 as organizations seek advanced protection.

AI Fraud Epidemic Sparks Defense Innovation

The rapid escalation of artificial intelligence-enabled fraud is driving unprecedented growth in the prevention market, with analysts suggesting the global AI fraud detection sector could reach $31.69 billion by 2029. This expansion comes as reports indicate deepfake attacks designed to bypass identity verification systems have surged by 704% according to iProov’s 2024 Threat Intelligence Report.

by Samuel Kim
EngineeringInfrastructureResearch

Generative AI Boosts Pipeline Safety Predictions Amid Data Scarcity

Advanced data augmentation techniques are revolutionizing pipeline safety assessments by generating synthetic corrosion data where real-world testing is impractical. The CopulaGAN-LightGBM combination reportedly delivers the highest predictive improvement, while SHAP analysis identifies critical failure factors. A new web platform now enables real-time residual strength calculations for industry professionals.

Breaking Through Data Barriers in Pipeline Integrity

Researchers have developed a novel approach to predicting the residual strength of corroded pipelines by combining generative artificial intelligence with machine learning, according to recent findings published in npj Materials Degradation. The method addresses a critical industry challenge: the scarcity of high-quality experimental data needed to train accurate predictive models for pipeline safety assessment.

by Priya Kapoor
AITechnology

Apple AI Search Lead Departs for Meta in Latest Talent Blow to Siri Overhaul

Apple’s artificial intelligence division has lost its recently appointed AKI group leader Ke Yang to Meta, according to Bloomberg reports. The departure marks the latest in a series of senior exits from Apple’s AI teams as the company races to overhaul Siri capabilities.

Apple’s AI Search Leadership Shakeup

Apple’s artificial intelligence division has experienced another significant leadership change with the departure of Ke Yang, who was recently appointed to lead the company’s AI-driven web search initiative, according to reports from Bloomberg’s Mark Gurman. Yang has reportedly joined Meta Platforms, marking the latest in a series of senior executive exits from Apple Inc.‘s artificial intelligence teams.

by Samuel Kim