助力制定芯片 JU 工作计划 2027：关于芯片与 A 的在线征询

Help Shape the Chips JU Work Programme 2027: Online Consultation on Chips & A

AENEAS Quality unknown · 质量未知 by Editor 2026-09-17 13:06 Original
摘要
Chips JU 正在为“Chips JU Work Programme 2027”推进筹备，并邀请电子元件与系统（ECS）社区参加线上咨询研讨会“Chips for AI, AI for Chips”（2026年10月6日），直接征集对2027年征集（Call）主题的工业需求、技术优先级与新机会的意见。研讨会将由领域专家提供的草案主题引导讨论，围绕三大议题展开：欧洲制造的自主系统基础、面向芯片设计的AI，以及面向AI的系统级存储架构。收集的反馈将用于制定和优化Chips JU 2027工作计划及后续Call主题，影响欧洲相关研发与产业资源配置方向。

随着 Chips JU Work Programme 2027 的筹备推进，Chips JU 正面向电子元器件与系统（Electronic Components and Systems, ECS）社区发起一场在线咨询研讨会，主题聚焦“Chips for AI, AI for Chips”，邀请产业界和技术界直接参与 2027 年潜在 Call 主题的讨论。

研讨会定于 2026 年 10 月 6 日举行，时间为 CEST 09:00–15:45，形式为线上会议。Chips JU 表示，这次活动的目标是让 ECS 生态中的利益相关方就工业需求、技术优先级以及新兴机会提出意见，这些反馈将用于完善 Chips JU Work Programme 2027 及其未来的 Call 主题。

为便于讨论，主办方已基于领域专家的贡献准备了一系列草案主题概念。与会者将被邀请就这些概念的相关性和雄心程度发表意见，也可以提出新的想法，并识别欧洲在相关领域的关键缺口与机会。

本次研讨会围绕三大议题展开：

  • Session 1：Foundations for Autonomous Systems Made in Europe，09:00–11:00（TBC）
  • Session 2：AI for Chip Design，11:15–13:00（TBC）
  • Session 3：System-Level Memory Architectures for AI，14:00–15:45（TBC）

Chips JU 强调，参与者的专业意见将有助于塑造其 2027 年活动方向，并呼吁所有感兴趣的利益相关方加入讨论，共同为未来 Call 的优先事项提供依据。报名通道已开放。

Summary
Chips JU is holding an online consultation workshop on 6 October 2026 to gather input from the Electronic Components and Systems (ECS) community as it prepares the Chips JU Work Programme 2027, focused on “Chips for AI, AI for Chips.” The session will review draft topic concepts and collect feedback to shape future 2027 Call topics across three areas: foundations for autonomous systems made in Europe, AI for chip design, and system-level memory architectures for AI. The resulting stakeholder input will help refine Chips JU’s priorities and investment direction for European AI chip and systems R&D.

Chips JU is inviting the Electronic Components and Systems (ECS) community to an online consultation workshop on 6 October 2026, from 09:00 to 15:45 CEST, as preparations advance for the Chips JU Work Programme 2027. The session is focused on “Chips for AI, AI for Chips” and is intended to give stakeholders a direct role in shaping potential 2027 Call topics.

The workshop is designed to gather industrial needs, technology priorities and emerging opportunities from across the ECS ecosystem. Chips JU says the feedback collected will be used to inform and refine the Work Programme 2027 and its future calls. To frame the discussion, draft topic concepts have already been prepared with input from experts, and participants will be asked to assess their relevance and ambition, suggest new ideas, and highlight gaps and opportunities for Europe.

The agenda is split into three thematic sessions: “Foundations for Autonomous Systems Made in Europe” from 09:00 to 11:00 (TBC), “AI for Chip Design” from 11:15 to 13:00 (TBC), and “System-Level Memory Architectures for AI” from 14:00 to 15:45 (TBC). Chips JU is encouraging all interested stakeholders to register and contribute to defining priorities for future Calls.

Résumé
La Chips JU lance une consultation en ligne (6 octobre 2026) pour préparer le programme de travail 2027, sur le thème « Chips for AI, AI for Chips », avec la communauté des Electronic Components and Systems (ECS). Des experts et parties prenantes sont invités à commenter des concepts de sujets préliminaires et à contribuer à l’identification des besoins industriels et priorités technologiques, notamment via trois sessions : systèmes autonomes « made in Europe », conception de puces par l’IA et architectures mémoire au niveau système pour l’IA. Les retours serviront à affiner les futurs appels à projets de Chips JU et à orienter les investissements R&D européens.

As preparations for the Chips JU Work Programme 2027 move forward, Chips JU is inviting the Electronic Components and Systems (ECS) community to take part in an online consultation workshop dedicated to “Chips for AI, AI for Chips.”

6 October 2026

09:00–15:45 CEST

Online

The workshop offers stakeholders from across the ECS community an opportunity to contribute directly to discussions around potential 2027 Call topics, bringing forward industrial needs, technology priorities and emerging opportunities. The input gathered during the workshop will help inform and refine the Chips JU Work Programme 2027 and its future Call topics.

To kick-start the discussion, a series of draft topic concepts has been prepared with contributions from experts in the field. Participants will be invited to comment on their relevance and level of ambition, propose new ideas, and identify key gaps and opportunities for Europe.

Three key areas on the agenda

The workshop will be structured around three thematic sessions:

Session 1 – Foundations for Autonomous Systems Made in Europe | 09:00–11:00 (TBC)

Session 2 – AI for Chip Design | 11:15–13:00 (TBC)

Session 3 – System-Level Memory Architectures for AI | 14:00–15:45 (TBC)

Your expertise can help shape the direction of Chips JU’s 2027 activities. All interested stakeholders are encouraged to join the discussion, share their perspectives and contribute to identifying priorities for future Calls.

Register here.

The post Help Shape the Chips JU Work Programme 2027: Online Consultation on Chips & A appeared first on Aeneas.

AI Insight
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Core Point

Chips JU launched an online consultation workshop to shape its 2027 work programme around “Chips for AI, AI for Chips,” guiding future EU call topics based on ECS stakeholder input.

Key Players

Chips JU — EU Joint Undertaking coordinating chips R&D calls; Brussels, Belgium.

Electronic Components and Systems (ECS) community — industry/research stakeholders contributing requirements and priorities across the chip value chain.

Industry Impact
  • Computing/AI: High — targets AI-driven chip design and system-level memory architectures.
  • ICT: Medium — sets EU funding priorities for semiconductor and systems technologies.
Tracking

[Strongly track] — EU programme-shaping consultation can materially influence 2027 funding themes for AI chips and memory architectures.

Highlights
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半导体 人工智能
AI Processing
2026-09-17 13:57
openai / gpt-5.4-nano