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Bridging Domains: Advances in Explainable, Automated, and Privacy-Preserving AI for Computer Science and Cybersecurity
CrimeEvidence-backed gain

Bridging Domains: Advances in Explainable, Automated, and Privacy-Preserving AI for Computer Science and Cybersecurity

Artificial intelligence (AI) is rapidly redefining both computer science and cybersecurity by enabling more intelligent, scalable, and privacy-conscious systems. While most prior surveys treat these fields in isolation, this paper provides a unified review of 256 peer-reviewed publications to bridge that gap. We examine how emerging AI paradigms, such as explainable AI (XAI), AI-augmented software development, and federated learning, are shaping technological progress across both domains. In computer science, AI…

Computers
Radial wall strain for residual risk stratification after percutaneous coronary intervention
Evidence-backed problem

Radial wall strain for residual risk stratification after percutaneous coronary intervention

Background Percutaneous coronary intervention effectively treats flow-limiting stenoses; however, untreated non-target vessels with vulnerable plaques remain a major contributor to future adverse cardiovascular events. Plaque strain is a promising marker of plaque vulnerability but traditionally requires complex modelling and expensive intracoronary imaging. We developed a novel artificial intelligence algorithm for subpixel-level lumen delineation, enabling real-time automated assessment of radial wall strain (…

made Gaza documentary wins at Venice festival
Evidence-backed problem

made Gaza documentary wins at Venice festival

A new documentary by two Israeli directors that accuses Israel of AI-assisted killing of civilians in Gaza won the Special Jury Prize at the Venice Film Festival on Saturday night.

Sadiq Khan agrees to have his texts and emails searched in Palantir legal battle
Evidence-backed problem

Sadiq Khan agrees to have his texts and emails searched in Palantir legal battle

Sadiq Khan has agreed for his text messages and emails to be searched as part of a legal battle with Palantir, the high court has been told, after he prevented the US technology company from working with the Metropolitan police. The London mayor stepped in to block a £50m deal between Palantir and the Met in May, with the artificial intelligence developer suing Khan’s office over the decision. Legal representatives for the mayor said they “did not originally consider it necessary” for Khan to be among those to h…

Crime

SnSe/SnO2 Heterojunction-Based Single-Sensor Virtual Electronic Nose with Low Reaction Barrier for Trace Identification of Volatile Sulfur Compounds toward Illicit Methamphetamine Trafficking Traceability

Illicit methamphetamine (MA, ice) trafficking poses a severe global threat to public security, while non-contact on-site detection of MA remains a grand challenge due to its ultra-low saturated vapor pressure at room temperature (25 °C). Volatile sulfur compounds (VSCs), including hydrogen sulfide (H2S), methanethiol (CH3SH), and dimethyl sulfide (C2H6S, DMS), are stable characteristic markers released throughout the entire MA production, purification, storage, and transportation chain. Herein, we develop a sing…

SnSe/SnO2 Heterojunction-Based Single-Sensor Virtual Electronic Nose with Low Reaction Barrier for Trace Identification of Volatile Sulfur Compounds toward Illicit Methamphetamine Trafficking Traceability
Crime

Mapping agricultural fragility in India through a yield gap vulnerability framework: a national-scale machine learning assessment

In India, regional yield gaps continue to widen despite increased agricultural productivity, owing to socioeconomic inequality and climate variability. This study develops a novel Yield Gap Vulnerability (YGV) framework to measure agricultural fragility at the district-level by integrating agricultural, hydrological, meteorological, and socioeconomic indicators to observed yield gaps for major cereals (rice and wheat) and nutri-crops (maize and millet). An integrated Machine Learning (ML) approach is used that c…

Mapping agricultural fragility in India through a yield gap vulnerability framework: a national-scale machine learning assessment
Crime

Forensic analysis of dominant versus non-dominant handwriting: Statistical and machine learning insights

Systematic, paired quantitative evidence on how handwriting changes when the non-dominant hand is used remains limited in forensic document examination, despite its frequent relevance in cases involving disguise and authorship concealment. This study presents the first large-scale within-writer analysis examining general and individual handwriting characteristics using statistical testing and predictive modeling. Handwriting samples were collected from 94 right-handed participants, each of whom produced the same…

Forensic analysis of dominant versus non-dominant handwriting: Statistical and machine learning insights
Crime

Hybrid ensemble machine learning algorithms for landscape ecological vulnerability assessment to riverbank erosion

Riverbank erosion is a catastrophic geomorphological hazard that poses severe ecological and socio-economic challenges across densely populated floodplains. This study advances a machine learning (ML) framework that integrates individual and bagging-classifier approaches using random forest (RF), multilayer perceptron (MLP) and bagging classifiers to assess landscape ecological vulnerability (LEV) to riverbank erosion. The site-specific environmental, climatic, geomorphological and ecological parameters were sel…

Hybrid ensemble machine learning algorithms for landscape ecological vulnerability assessment to riverbank erosion
Crime

Deepfake Anthony Albanese used in celebrity scams duping Australians out of $7.4m, Asic warns

There has been a steep rise in scammers luring victims into phoney investment opportunities using deepfakes of celebrities and politicians, Australia’s corporate watchdog has warned. And Anthony Albanese is the figure most commonly co-opted. Real footage of the prime minister, overlaid with fake audio promising Australians can invest $4,000 to earn $40,000 a month, appears in one video online. “This is not just another scam product,” the deepfake Albanese says, falsely describing it as an “official platform” wit…

Deepfake Anthony Albanese used in celebrity scams duping Australians out of $7.4m, Asic warns
Crime

A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions

Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL), has become essential in the realm of cybersecurity. These techniques have proven to be effective in detecting and mitigating cyberattacks, which can cause significant harm to individuals, organizations, and even countries. Machine learning algorithms use statistical methods to identify patterns and anomalies in large data…

A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions