Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

In 2025, AI education moved beyond traditional coding lessons, focusing more on real-world skills, creativity, and ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...