RepCNN: Powerful, micro-sized models for wake word detection
Always-on machine learning models require very low memory and compute consumption. Their restricted parameter count limits the model’s ability to ...
Always-on machine learning models require very low memory and compute consumption. Their restricted parameter count limits the model’s ability to ...
Haize Labs has recently introduced Sphinxan innovative tool designed to address the persistent challenge of hallucinations in ai models. In ...
This article has been accepted at the IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 Acoustic signals ...
Patronus ai has released the LYNX v1.1 series, which represents a significant advancement in artificial intelligence, particularly in detecting hallucinations ...
As digital commerce expands, fraud detection has become critical in protecting businesses and consumers engaging in online transactions. Implementing machine ...
The inability to linearly XOR classify has motivated much of deep learning. We revisit this old problem and show that ...
How to run the latest YOLO v10 on different hardwareYOLO Object Detection, image by the authorComputer vision can be an ...
Although large language models (LLMs) have shown promise for human-like conversations, they are primarily trained on text data. Incorporating audio ...
How using LLM and GenAI techniques can improve deduplicationMusicbrainz UMAP 2D 200K Nearest Neighbor PlotCustomer data is typically stored as ...
Voice activity detection (VAD) is a critical component in various applications, such as voice recognition, speaker identification, and hands-free communication ...