Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic ...
Abstract: This paper addresses the critical challenge of enhancing resiliency in smart power grids against cyber-physical disturbances, including cyber-attacks, system faults, and dynamic load ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Bengaluru-based Polymage Labs and US firm Tenstorrent are set to develop an AI compiler for Tenstorrent's hardware. This ...
Abstract: This paper develops a Multi-Agent Deep Reinforcement Learning (MADRL) framework for underwater attack-defense scenarios with constrained sensing/communication. While maintaining balanced ...
For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...
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Where analytics meets innovation: Inside Ashutosh Agarwal’s transformational work
Ashutosh Agarwal is a specialist who connects analytics with practical strategy, who stands out in the era of digital ...
Discover why AI pioneer Yann LeCun, one of the 'Godfathers of AI,' advises young students to prioritize mathematics, physics, and engineering over pure coding skills. In the era of advanced AI, ...
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
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