Under the promotion of the “dual carbon” policy, offshore wind power and other renewable energy sources have ushered in rapid ...

New Delhi, June 1 : Large language models (LLMs), when trained on extensive plant genomic data, can accurately predict gene functions and regulatory elements, researchers said on Sunday. By leveraging ...

This important study presents a compelling theoretical framework for understanding phase separation of membrane-bound proteins, with a focus on the organization of tight junction components. By ...

‘Understand that a move for Viktor Gyokeres to Manchester United is now almost off the table! ‘It is currently not the player’s objective either. Instead, Man Utd are now signing Matheus Cunha.

Abstract: Various canonical piecewise linear (CPWL) function-based models have been widely used for modeling radio frequency (RF) power amplifiers (PAs). In most literatures, the thresholds of CPWL ...

How to master the process that’s transforming management by Darrell Rigby, Jeff Sutherland and Hirotaka Takeuchi Agile innovation methods have revolutionized information technology. Over the ...

Anyone seeking a versatile 2-in-1 laptop with long battery life will love what the MSI Summit 13 AI+ Evo brings to the table. Its nearly 21-hour battery life ensures productivity throughout the ...

However, it is not an easy-to-handle function. For this reason, in this article, we first present a semi-linear approximation of the Marcum Q -function. Our proposed approximation is useful because it ...

Sui's deep dive reveals a Layer-1 blockchain built from the ground up to address the scalability and usability challenges.

This repository implements Multi-Objective Reinforcement Learning from AI Feedback (MORLAIF). Instead of training the target model with a single preference model representing "all human preferences", ...

In the first level, these current observations are used to build Bayesian estimation posterior distributions for each objective function separately. We then define the acquisition function for each ...