IEEE

A Comprehensive Survey on Cognitive Cyber Security Analysis Using Machine Learning Approaches

Abstract: Cybersecurity threats have evolved in sophistication, necessitating the development of intelligent and adaptive defense mechanisms. Cognitive cybersecurity systems present the opportunity to ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
IEEE

VISION LOG: CCTV Footage Timestamp Analysis Using Machine Learning Algorithms

Abstract: With the increase in adoption of CCTV surveillance systems in both private and public spaces, the need for developing intelligent systems for automatic video analysis has augmented. This ...
InfoWorld

Security researchers caution app developers about risks in using Google Antigravity

The tool for creating agents has vulnerabilities, say experts; Google says it will post known issues publicly as it works to address them. Google’s Antigravity development tool for creating artificial ...
Wired

Amazon Is Using Specialized AI Agents for Deep Bug Hunting

Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to detect weaknesses and propose fixes to the company’s platforms. ATA was born ...
acm.org

Integrating Machine Learning into Physical Security Architecture

Recent advancements in the field of artificial intelligence (AI) have exposed many modern organizations to the benefits of intelligent automation. According to research published by McKinsey, almost ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Frontiers

Does chemotherapy improve survival outcomes in breast cancer survivors with secondary primary stage I non-small cell lung cancer? A real-world analysis using machine learning ...

Background: Advances in breast cancer treatment have prolonged survival, leading to an increased incidence of secondary primary lung cancer (SPLC) in survivors. This study aims to investigate the ...
Cyber Defense Magazine

Using Artificial Intelligence for Strengthening Email Security

Today, email-based attacks are increasingly sophisticated, however artificial intelligence (AI) can offer vital defense. With AI use, organizations can counteract advanced phishing, ransomware, and ...
International Monetary Fund

Promoting Energy Security in Hungary: A Model-based Analysis

This paper evaluates Hungary’s energy security vulnerabilities and policy options in the context of Russia’s invasion of Ukraine in 2022 and the EU’s planned phaseout of Russian energy imports by 2027 ...