Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...

Blockchain technologies are digital systems that work by distributing copies of information across several computers, also ...

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

Over the past few months, I have been exploring different pedagogical frameworks to guide teachers in making sense of AI ...

UGC develops draft LOCF for undergraduate subjects, sparking debate on curriculum reforms aligning with NEP 2020 and ...

A key factor preventing impact investing from reaching its maximum potential is the absence of robust monitoring and learning processes anchored in systems change principles.

The framework provides strategies and recommendations to enhance the impact of education space, infrastructure, and facility investments by promoting resilient, inclusive, green, healthy, teaching-and ...