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 ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

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.

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...

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

In 2025, certain skills helped Indian professionals move into much higher salary brackets within a year. From AI and ...

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 ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

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 ...

Abstract: The rapid adoption of machine learning (ML) across several businesses raises serious concerns about data privacy, particularly when sensitive data is involved. By integrating trustworthy ...