Edge AI
Lucio Tommaso De Paolis, Patrick Bourdot
Informasi Umum
Kode
22.21.123
Klasifikasi
621.382 - Artificial intelligence, Big data. Electrical engineering.
Jenis
Buku - Elektronik (E-Book)
Subjek
Intellegence
No. Rak
Dilihat
207 kali
Informasi Lainnya
Abstraksi
As an important enabler for changing people’s lives, advances in arti?cial intelligence (AI)-based applications and services are on the rise, despite being hindered by ef?ciency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.
- CII653 - SISTEM KECERDASAN LANJUT
- CII653 - SISTEM KECERDASAN LANJUT
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Lucio Tommaso De Paolis, Patrick Bourdot |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | springer |
| Kota | singapore |
| Tahun | 2020 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 1.000,00 |
| Jenis | Non-Sirkulasi |
