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 ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Cfr.org

New U.S. National Security Strategy Prioritizes Western Hemisphere

Welcome to the Daily News Brief, CFR’s flagship morning newsletter summarizing the top global news and analysis of the day. On Europe, the document calls for quickly ending hostilities in Ukraine, ...
Hosted on MSN

Analysis: How the new US national security strategy matters to Taiwan

For the first time in three years, the US published a National Security Strategy, highlighting that it does not support changes to the status quo in the Taiwan Strait and calls on allies to increase ...
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 ...
VentureBeat

Meet Aardvark, OpenAI’s security agent for code analysis and patching

An aardvark works in an office typing at a desktop PC while happy human workers mill about in the background. Credit: VentureBeat made with ChatGPT Positioned as a scalable defense tool for modern ...
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 ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
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 ...
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 ...