We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Saurabh Misra work spans machine learning, large-scale systems, and software performance, with a consistent focus on building faster, more efficient, and more sustainable technology.

Overview Python bootcamps in 2026 will focus more on real-world projects, AI tools, and job-ready skills rather than theory ...

aisuite is a lightweight Python library that provides a unified API for working with multiple Generative AI providers. It offers a consistent interface for models from OpenAI, Anthropic, Google, ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...