Highlights Network engineers are increasingly adopting Python libraries to automate device management, configuration, and monitoring.Tools like Nornir, Netmiko, ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Artificial intelligence is reshaping brain modeling. This review introduces a unified framework where AI functions as a surrogate brain by integrating dynamical modeling, inverse problem solving, and ...

The 'Algorithm Master,' computer science focuses on complexity analysis and theoretical design. Top colleges per NIRF 2025 ...

Researchers mapped brain topology changes across the lifespan, identifying four critical turning points that shape neural networks from childhood to aging.

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.