Researchers adapted the BEATs audio transformer framework to identify pig distress vocalizations in commercial barn ...
Reviewers asked for 20 transformer fine-tuning runs over three seeds. We had no GPU and no budget.
Hello! This is TX Consulting Co., Ltd.đź’ˇGenerative AI, including ChatGPT, has gradually become a familiar presence in our ...
Liquid AI has released Open d1, two open-weight multimodal models in its d1 decision model family. d1-3B reads text and images. d1-omni-600M reads text with an image, or text with audio. Neither model ...
Google DeepMind's EmbeddingGemma 2 embeds text, code, images, video and audio in one 740M model for on-device RAG.
A curated paper list for continual learning in speech and audio, covering ASR, TTS, speaker-related tasks, audio classification, SED/SELD, sound source localization, audio-visual learning, separation, ...
The need for reliable, scalable systems to monitor and safe-guard wildlife has been highlighted by the rapid decline in biodiversity. Conventional ecological surveys are frequently time-consuming, ...
Machine learning is a broad approach where algorithms learn from data using features often crafted by humans, while deep learning uses many layered neural networks to learn features automatically.
Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.