For us to trust it on certain subjects, researchers in the growing field of interpretability might need to learn how to open ...
Overview: Agentic AI systems are rapidly becoming the foundation of modern automation, enabling software to plan tasks, make decisions, and interact with tools ...
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 ...
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Neural interfaces that adapt to you: How game theory could improve wearables and implants
There is an exciting future on the horizon—one in which your thoughts could directly control electronic devices you use every ...
Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...
The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...
A new study demonstrates how neurons in nematode worms respond to odors and generate movement to augment understanding of neural circuits.
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 ...
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