Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Tech XploreOpinion

Ontario's proposed nuclear waste repository poses millennia-long ethical questions

The heat produced by the radioactive waste strikes you when you enter the storage site of Ontario Power Generation at the ...
InfoQ

MinIO GitHub Repository in Maintenance Mode: What's Next for the Open Source Object Storage?

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
EurekAlert!

A survey of embodied learning for object-centric robotic manipulation

Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...
GitHub

Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...
TMCnet

Anthology Unveils Next-Generation AI and Immersive Learning Innovations in Blackboard, Maintains Position as the Fastest-Evolving LMS for the Fourth Year

Anthology, the leading educational technology company, today announced a sweeping set of innovations across its award-winning learning management system, Blackboard ®, and marked its fourth ...
Business Wire

Anthology Unveils Next-Generation AI and Immersive Learning Innovations in Blackboard, Maintains Position as the Fastest-Evolving LMS for the Fourth Year

BOCA RATON, Fla.--(BUSINESS WIRE)--Anthology, the leading educational technology company, today announced a sweeping set of innovations across its award-winning learning management system, Blackboard ...
IEEE

Querying Heterogeneous and Distributed Learning Object Repositories via Ontology-Based Mediation

Abstract: 1We propose a mediator architecture that allows a learning system to retrieve learning objects (LOs) from heterogeneous repositories of LOs and not exclusively from its proprietary ...
Scientific Research Publishing

Zoph, B., Cubuk, E.D., Ghiasi, G., Lin, T., Shlens, J. and Le, Q.V. (2020) Learning Data Augmentation Strategies for Object Detection. In:

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...
marktechpost

This AI Paper from Aalto University Introduces VQ-VFM-OCL: A Quantization-Based Vision Foundation Model for Object-Centric Learning

Object-centric learning (OCL) is an area of computer vision that aims to decompose visual scenes into distinct objects, enabling advanced vision tasks such as prediction, reasoning, and ...