Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

New tool narrows the search for ideal metal organic frameworks

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic ...
IEEE

A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids

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 ...
eLife

Separating selection from mutation in antibody language models

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 ...

Polymage Labs ties up with US-based Tenstorrent to develop AI compiler

Bengaluru-based Polymage Labs and US firm Tenstorrent are set to develop an AI compiler for Tenstorrent's hardware. This ...
IEEE

An Adaptive Deep Reinforcement Learning Framework for AUV Attack-Defense Games

Abstract: This paper develops a Multi-Agent Deep Reinforcement Learning (MADRL) framework for underwater attack-defense scenarios with constrained sensing/communication. While maintaining balanced ...
GitHub

Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework

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 ...