Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

Abstract: Deep learning (DL) has been widely applied in wireless communications to address diverse challenges, such as beam management, positioning, and channel state information (CSI) feedback.

There is an exciting future on the horizon—one in which your thoughts could directly control electronic devices you use every ...

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...

At the core of these advancements lies the concept of tokenization — a fundamental process that dictates how user inputs are interpreted, processed and ultimately billed. Understanding tokenization is ...

Animal behavior reflects a complex interplay between an animal's brain and its sensory surroundings. Only rarely have ...

University of Virginia School of Medicine scientists have developed a bold new approach to drug development and discovery ...

For decades, neuroscience and artificial intelligence (AI) have shared a symbiotic history, with biological neural networks (BNNs) serving as the ...

Abstract: Many practical antennas contain continuous, binary, and categorical geometrical variables. Antenna designs involving such mixed-type variables fall under the category of mixed-variable ...

Samsung R&D Institute India, Bangalore (SRI-B) on Tuesday announced the expansion of its Samsung Innovation Campus (SIC) programme with the addition of six academic institutions, taking the total ...