DOAJ Open Access 2022

IEEE Open Journal of the Solid-State Circuits Society Special Section on Custom Circuits and Architectures for Energy-Efficient Machine Learning

Jae-Sun Seo

Abstrak

Machine learning (ML) and artificial intelligence (AI) have been successful in many practical applications, e.g., image/speech/video recognition, object detection/tracking, natural language processing, etc. To efficiently execute such AI/ML algorithms, there have been large advances in custom hardware accelerator designs, such as digital systolic arrays of processing engines (PEs), and analog or digital circuits for in-/near-memory computing for deep neural networks (DNNs) <xref ref-type="bibr" rid="ref1">[1]</xref>, <xref ref-type="bibr" rid="ref2">[2]</xref>.

Topik & Kata Kunci

Electric apparatus and materials. Electric circuits. Electric networks

Penulis (1)

Jae-Sun Seo

Format Sitasi

APA MLA BibTeX

Seo, J. (2022). IEEE Open Journal of the Solid-State Circuits Society Special Section on Custom Circuits and Architectures for Energy-Efficient Machine Learning. https://doi.org/10.1109/OJSSCS.2022.3227379

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →

Lihat di Sumber doi.org/10.1109/OJSSCS.2022.3227379

Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.1109/OJSSCS.2022.3227379
Akses: Open Access ✓