The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
The Daily Overview on MSN
AI skills shine as the broader job market slows
In a job market that is increasingly showing signs of a slowdown, the demand for artificial intelligence (AI) skills is ...
Newspoint on MSN
Career: These 5 jobs can bring you a hefty salary in 2026. Find out what education you need to pursue..
In today's world, Artificial Intelligence (AI) is not just a technology, but has become the fastest-growing career direction.
Are you obsessed with models, fascinated by deep learning, and excited by the idea of designing AI systems that actually matter? We’re looking for a Senior Data Scientist to help build advanced vision ...
Are you obsessed with models, fascinated by deep learning, and excited by the idea of designing AI systems that actually matter? We’re looking for a Senior Data Scientist to help build advanced vision ...
Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...
Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...
A vulnerability in the open source deep learning tool Keras could allow attackers to load arbitrary local files or conduct ...
Abstract: Fashion image classification is an emerging field of research. Examples of numerous e-commerce applications that rely on fashion image classification include recommendation systems, ...
Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...
Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...
This article presents a deep-learning-based approach for designing Class F power amplifiers (PAs). We use convolutional neural networks (CNNs) to predict the scattering parameters of pixelated ...
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