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) ...
Developer Tech

Solving hardware fragmentation for deep learning performance

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.
Semiconductor Engineering

Loss Errors in Error-Corrected Circuits Across A Range Of Quantum Hardware Platforms (MIT, Harvard, QuEra)

A new technical paper titled “Leveraging Qubit Loss Detection in Fault-Tolerant Quantum Algorithms” was published by ...
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...