DX Learning Solutions and Avocado Learning Experiences Launch Strategic Partnership to Bring CARE Leadership Programs to Greece

DX Learning Solutions is pleased to announce a new strategic partnership with Avocado Learning Experiences to deliver DX’s ...
Opinion
The Nation Newspaper on MSNOpinion

Rediscovering the fundamental essence of university education in Nigeria

By Tunji OlaopaThe higher education system of any nation is designed as a critical arm of the state to enlighten the society about the elements that make for social harmony and social order, while at ...
United States Army

FY 25 Mission Command Training Program: Key Observations

Download the document here: No. 26-1121, FY25 Mission Command Training Program: Key Observations [PDF - 16.2 MB] ...

Pryor Learning Revolutionizes Professional Development With Comprehensive Communication Training Programs

KANSAS, KS, UNITED STATES, January 19, 2026 /EINPresswire.com/ — Pryor Learning, a leader in workplace training and professional development solutions for more than five decades, announces the ...
IEEE

Personalized and Resilient Distributed Learning Through Opinion Dynamics

Abstract: In this paper, we address two practical challenges of distributed learning in multi-agent network systems, namely personalization and resilience. Personalization is the need of heterogeneous ...
techxplore

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
The New York Times

Big Tech Makes Cal State Its A.I. Training Ground

Spurred by titans like Amazon and OpenAI, California State wants to become the nation’s “largest A.I.-empowered” university. Spurred by titans like Amazon and OpenAI, California State wants to become ...
IEEE

Dynamic Confidence Variance for Generalized Coreset in Active Learning

Abstract: Active Learning (AL) aims to reduce data annotation costs by selecting the most informative samples from an unlabeled data pool. Traditional AL methods often rely on a single snapshot to ...
eLife

Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks

The findings of this study are valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding flexible ...
C&EN

Reactive Active Learning: An Efficient Approach for Training Machine Learning Interatomic Potentials for Reacting Systems

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...
Frontiers

Reward-optimizing learning using stochastic release plasticity

Synaptic plasticity underlies adaptive learning in neural systems, offering a biologically plausible framework for reward-driven learning. However, a question remains ...