井晨哲
Employers on the program
- 2026面壁智能1 talk
Events1
Conferences1
Talks1
Years active2026
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AICon 全球人工智能开发与应用大会 (AICon Global AI Development and Application Conference)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 26, 2026 | AICon 全球人工智能开发与应用大会 | 上海 | AICon 全球人工智能开发与应用大会 (AICon Global AI Development and Application Conference) | speaker | 高效端侧大模型的技术趋势与产业应用观察 as 面壁智能 大模型能力持续增强,但落地仍受算力、成本、隐私与场景约束。本报告从高效端侧视角出发,梳理技术演进与产业动向,探讨如何让智能更贴近用户与设备,在合规与体验之间取得平衡,并支撑多类终端与应用场景的规模化落地。 演讲提纲: 引言:背景与问题 行业背景:大模型从云端走向端侧的整体趋势…Show less大模型能力持续增强,但落地仍受算力、成本、隐私与场景约束。本报告从高效端侧视角出发,梳理技术演进与产业动向,探讨如何让智能更贴近用户与设备,在合规与体验之间取得平衡,并支撑多类终端与应用场景的规模化落地。 演讲提纲: 引言:背景与问题 行业背景:大模型从云端走向端侧的整体趋势 主要挑战:成本、实时性、隐私、弱网/离线、跨设备协同等 核心问题:如何在资源受限的终端上,以可接受的成本交付可用的智能能力 技术趋势:高效端侧大模型 发展脉络:从“堆规模”到“提效率”的思路转变 关键方向:模型轻量化、系统与芯片协同、推理与部署优化等 端侧 vs 云端:在部署、算力… |
Frequent co-speakers
No one else spoke at two or more of the same events.
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.