Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...

This shift in the development model has significantly lowered the entry barrier. Now, someone with basic programming knowledge, or even a complete novice, can start building practical AI applications ...

Introduction Poststroke depression affects approximately 30% of stroke survivors and is linked to worse functional outcomes, cognitive decline, reduced quality of life and increased mortality. While ...

Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been ...

In a study published in Nature (September 3), Lulu Qian , professor of bioengineering, and her student Kevin Cherry (PhD '24) ...

Vibe coding is the hot trend. You enter prompts into AI that tell it to produce a program for you. Voila, it generates the ...

Overview: Machine learning tools simplify and speed up AI development.Options include open-source frameworks and cloud AI ...

Current large AI models face the same issue—they can also make errors when answering questions, especially when dealing with ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Redcore Investments COO, Ihor Denysov, elaborates on just why those that master AI and big data will spearhead the industry ...

Driven by our mission to make data and AI accessible, inclusive, and actionable, DataGlobal Hub curated a world-class agenda ...

Abstract: To enable accurate and resource-efficient hardware implementation of fractional-order neural networks for neuromorphic computing, an optimized hardware architecture for field programmable ...