BIOENGINEER

New AI Model Learns a Generative Map of EEG Microstates While Preserving Their Spatial Shape

A new convolutional variational deep embedding model learns a generative latent manifold of EEG microstate topographies, ...
BIOENGINEER

ResNet50 Meets Transformer to Push Facial Emotion Recognition to 89.7 Percent on FER2013

A hybrid ResNet50 and Transformer model achieved 89.7 percent accuracy on the FER2013 facial emotion benchmark, with an ...
Tech Times on MSN

One humanoid robot policy outperforms specialized controllers across all eight terrain types

ETH Zurich researchers show a single humanoid robot policy beat specialized controllers on all eight mixed-terrain courses, ...
Scientific Research Publishing

Badrinarayanan, V., Kendall, A. and Cipolla, R. (2017) SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. IEEE Transactions on Pattern Analysis ...

ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...
T Break Tech

DLSS 5 Explained: How Nvidia’s Neural Renderer Actually Works

Quick Answer: DLSS 5 is Nvidia’s first neural rendering system for games. Unlike previous DLSS versions that just upscaled or generated frames, DLSS 5 uses a large AI model to analyse faces, materials ...
quantumzeitgeist

Quantum CNN & Vision Transformer: 99.77% Accuracy

Image classification currently relies on powerful, yet classically constrained, computational methods, but researchers are now exploring quantum machine learning as a potential pathway to significant ...
machinelearning.apple.com

FastVLM: Efficient Vision Encoding for Vision Language Models

Vision Language Models (VLMs) enable visual understanding alongside textual inputs. They are typically built by passing visual tokens from a pretrained vision encoder to a pretrained Large Language ...
IEEE

Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks

Abstract: Noninvasive fetal electrocardiography (ECG) is prevalently used for monitoring fetal heartbeats during pregnancy due to its affordability, ease of use, and constant monitoring capability. A ...
Scientific Research Publishing

Chollampatt, S. and Ng, H.T. (2018) A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction. Proceedings of the AAAI Conference on Artificial ...

ABSTRACT: With the widespread use of Chinese globally, the number of Chinese learners has been increasing, leading to various grammatical errors among beginners. Additionally, as domestic efforts to ...