For us to trust it on certain subjects, researchers in the growing field of interpretability might need to learn how to open ...

The result supports earlier studies that used brain imaging to find evidence that the same neural circuits are involved in ...

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 ...

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 ...

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 ...

Abstract: The rapid evolution of artificial intelligence (AI) in IoT applications necessitates the execution of inference tasks on edge devices. However, the deployment of computation-intensive neural ...

Abstract: In this paper, we prove Contra Harmonic Mean Labeling for some star related graphs such as $\mathrm{K}_{1, \mathrm{n}}, S(\mathrm{K}_{1, \mathrm{n ...