Instituto Tecnológico de Massachusetts

电子工程与计算机科学系 — Inferencia LLM en Dispositivo

Estados Unidos · Doctorado

Massachusetts Institute of Technology maintains an active research program in On-Device LLM Inference. Faculty including Song Han, Vivienne Sze contribute to frontier research at the intersection of hardware design and AI systems. The program offers doctoral training with access to specialized laboratories and research groups.

学术历史

Massachusetts Institute of Technology has a strong tradition in On-Device LLM Inference, building on decades of research in hardware architecture, VLSI design, and AI systems. Recent work by Song Han and Vivienne Sze has advanced the field and earned international recognition. The department continues to foster frontier research through seminars, collaborations, and doctoral training.

当前状态

Massachusetts Institute of Technology currently offers specialized courses and research seminars in On-Device LLM Inference and related areas. Doctoral students engage with frontier topics in hardware acceleration, efficient inference, and AI system co-design. The department hosts regular workshops and collaborates with industry partners.

实验室 / 研究中心

MIT HAN Lab (Efficient AI Computing)

访问页面 →

MIT Energy-Efficient Multimedia Computing Group

访问页面 →

关键人物

Song Han

Associate Professor

Leading researcher in the field with international recognition for their contributions to AI hardware and systems.

Vivienne Sze

Associate Professor

Leading researcher in the field with international recognition for their contributions to AI hardware and systems.

学术资源

Massachusetts Institute of Technology Graduate Admissions → 官方资源
来源:MIT EECS Official Website

证据

排名

# ()

师资

2 位相关教师

知名:Song Han、Vivienne Sze

研究产出

See hanlab.mit.edu and Google Scholar for publication counts

就业去向

发现信息有误? 提交纠错