‘AI scientists’ are exploding across disciplines. Will they morph what gets researched?

The Infinite Loop by Nebius reports that AI scientists are rapidly developing across disciplines, prompting concerns over research diversity as they may lead to a scientific monoculture.

‘Exploding oil?!’ The Middle East is about to find out

The Strait of Hormuz has reopened, for now, and Middle Eastern countries that shut off their oil wells during the war (the ...
Hacker

The Hidden Problem With Group Rewards in Multi-Agent AI

Your browser does not support the audio element. Group rewards sound clean. Everyone works toward the same goal, everyone gets the same signal. The problem is that ...
Scientific Research Publishing

Ruder, S. (2016) An Overview of Gradient Descent Optimization Algorithms. arXiv Preprint.

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
Scientific Research Publishing

Wilson, A.C., Roelofs, R., Stern, M., Srebro, N. and Recht, B. (2017) The Marginal Value of Adaptive Gradient Methods in Machine Learning. Advances in Neural Information ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
IEEE

A Derivative-Free Optimization Method With Application to Functions With Exploding and Vanishing Gradients

Abstract: In this letter, we propose a bio-inspired derivative-free optimization algorithm capable of minimizing objective functions with vanishing or exploding gradients. The proposed method searches ...