From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

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 ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

We have built financial systems that exceed human comprehension, then dressed them in the language of transparency. The ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

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 ...

Central Banking’s regtech and suptech interviews are in‑depth exploration of the pioneering work at central banks and ...

Sesha Sai Sravanthi Valiveti is a software engineering professional with 8+ years of experience delivering enterprise-scale digital solutions, specializing in application modernization, DevOps-driven ...

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.