Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...

A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...

A popular technique for studying brain disorders, known as lesion network mapping (LNM), appears to have a fundamental ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

GATE Data Science Important Topics: GATE Data Science & Artificial Intelligence (DA) Important Topics cover the key areas that carry high weightage in the exam. These topics are selected based on the ...