14 results for "neural"
Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning
With the accumulation of resources in the era of big data and the rise of pre-trained models in deep learning, optimizing neural networks for various tasks often involves different strategies for fine…
Max/MSP external for running neural amplifier captures
Max/MSP external for running neural amplifier captures - apresta/neural_tilde…
Visualizing Loss Landscapes of Neural Networks [P]
Hey r/MachineLearning , Visualizing the loss landscape of a neural network is notoriously tricky since we can't naturally comprehend million-dimensional spaces. We often rely on basic 2D contour analo…
Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks
The need to burn 100% H2 in high efficient gas turbines featuring low NOx combustion in premix mode require the complete redesign of the combustion system to ensure stable operation without any flashb…
Aprendiendo Recurrent Neural Networks (Parte 2): Dándole "memoria" a nuestra red y logrando un MAE de 10.05
En la Parte 1 de esta serie, comenzamos nuestro viaje para predecir la falla de turbinas...…
What If Your OS Could Think?
NEXUSos: A 100% sovereign, local AI desktop OS environment. The Neural Body for DAEMON. No cloud, no tracking. - AFKmoney/nexusOS…
BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks
Proactive alert prediction in computer networks is critical for mitigating evolving cyber threats and enabling timely defensive actions. Temporal Graph Neural Networks (TGNs) provide a principled fram…
Probing Visual Planning in Image Editing Models
Visual planning represents a crucial facet of human intelligence, especially in tasks that require complex spatial reasoning and navigation. Yet, in machine learning, this inherently visual problem is…
Towards Understanding the Expressive Power of GNNs with Global Readout
We study the expressive power of message-passing aggregate-combine-readout graph neural networks (ACR-GNNs). Particularly, we focus on the first-order (FO) properties expressible by this formalism. Wh…
BCI startup Neurable looks to license its ‘mind-reading’ tech for consumer wearables
The startup specializes in "non-invasive" "mind-reading" tech—a kind of neural data collection that, its CEO hopes, will have all sorts of consumer applications.…
AMDXDNA Driver Preps Hardware Scheduler Time Quantum For Ryzen AI Multi-User Fairness
The AMDXDNA accelerator driver for Ryzen AI NPUs is preparing a new feature called hardware scheduler time quantum for ensuring fairness between multiple users/contexts wanting to leverage this neural…
Towards Causally Interpretable Wi-Fi CSI-Based Human Activity Recognition with Discrete Latent Compression and LTL Rule Extraction
We address Human Activity Recognition (HAR) utilizing Wi-Fi Channel State Information (CSI) under the joint requirements of causal interpretability, symbolic controllability, and direct operation on h…
Certified geometric robustness -- Super-DeepG
Safety-critical applications are required to perform as expected in normal operations. Image processing functions are often required to be insensitive to small geometric perturbations such as rotation…
Show HN: Implit – Catch fake AI-generated dependencies
Validate imports and catch fake AI-generated dependencies - build-neurall/implit…