AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving intellectual tasks. These models are not replicas of human intelligence. Their ...

Abstract: The growth of global wind capacity necessitates efficient maintenance and inspection, particularly in offshore wind farms. However, existing manual inspection method is time consuming and ...

Founded in 2014, Interview Kickstart provides structured upskilling programs for software engineers, data professionals, and ...

Srinivas grew up in a middle-class Indian family and was inspired by his mother to aim for the Indian Institute of Technology ...

As organizations plan for 2026, a clear structural shift is emerging in how technical talent is valued and deployed. Amid this shift, Interview Kickstart has introduced an advanced machine learning ...

Last night marked the third year in a row the SEC has been shut out of the National Championship Game. Ole Miss lost 31-27 to Mario Cristobal and Miami in the Fiesta Bowl, kicking college football's ...

An overview of our research on agentic RL. In this work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal: Real end-to-end ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...

Abstract: This paper develops a Multi-Agent Deep Reinforcement Learning (MADRL) framework for underwater attack-defense scenarios with constrained sensing/communication. While maintaining balanced ...