AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 5 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This paper presents a comprehensive review of deep learning-based ASR systems, covering their evolution, acoustic feature extraction, end-to-end modeling, and training techniques, and concludes that deep learning is the standard for ASR.
This paper proposes a multi-objective NAS framework that incorporates hardware-aware constraints specific to typical IoT edge platforms, and demonstrates that NAS-generated models outperform conventional architectures in terms of inference speed and power consumption, while maintaining competitive accuracy.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.