Branching channels: How tree-structured representations in the brain maintain and update information
Tree structures have been widely used to model intelligent behavior, such as reasoning, problem-solving, and language ...
Boston Dynamics joins forces with its former CEO to speed the learning of its Atlas humanoid robot
Boston Dynamics Wednesday announced a partnership designed to bring improved reinforcement learning to its electric Atlas ...
DeepSeek-R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost
DeepSeek-R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. This story focuses on exactly how ...
IEEE24d
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Abstract: Considering the close connection between action recognition and human pose estimation, we design a Collaboratively Self-supervised Video Representation (CSVR) learning framework ... the ...
IEEE24d
Channel Deduction: A New Learning Framework to Acquire Channel from Outdated Samples and Coarse Estimate
How to deal with the channel dynamic changes ... we resort to learning-based implementation approaches. By using the highly efficient complex-domain multilayer perceptron (MLP)-mixer for ...
C&EN28d
MOCapsNet: Multiomics Data Integration for Cancer Subtype Analysis Based on Dynamic Self-Attention Learning and Capsule Networks
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...