Archive for September, 2026

IEEE HPSR 2027, 28th IEEE International Conference on High Performance Switching and Routing

Call for papers IEEE HPSR 2027 28th IEEE International Conference on High Performance Switching and Routing Paris, France 15 – 18 June 2027 https://hpsr2027.ieee-hpsr.org/ Paper Submission Deadline: 30 November 2026 Notification of Acceptance: 1 March 2027 The rapid evolution of artificial intelligence, cloud computing, distributed systems, and next-generation communication infrastructures is fundamentally reshaping network requirements. […]

IJCNN 2027: Call for Competition & Tutorial Proposals

Submission Deadline: November 30, 2026 ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌     ͏ ‌ […]

Deadline extended to 14 September: WWIN 2026 Workshop at SAB 2026

Dear colleagues, We are pleased to announce that the submission deadline for the first international workshop “Wanting What is Needed: From Homeostatic Control to Adaptive Behavior” has been extended to September 14, 2026. The workshop will be held on October 19 in Berlin, Germany, as part of The 18th International Conference on the Simulation of […]

NEmo 2026 @ NeurIPS – deadline EXTENDED to 14 September (AoE)

Dear all, The submission deadline for NEmo 2026: Neuro-Symbolic Embodied Intelligence, a workshop at NeurIPS 2026 (December 12, 2026, Sydney, Australia), has been extended to September 14, 2026, Anywhere on Earth. NEmo focuses on the challenges of building long-lived autonomous agents that can perceive, reason, plan, learn, and adapt over extended interactions in physical or […]

FLLM2026 (Co-Sponsored by IEEE): The 4th International Conference on Foundation and Large Language Models, 17 – 20 November 2026 | Barcelona, Spain

The 4th International Conference on Foundation and Large Language Models  (FLLM 2026)  https://fllm-conference.org/2026/index.php 17 – 20 November 2026 | Barcelona, Spain Hybrid Conference and Technically Co-Sponsored by IEEE Spain Section FLLM 2026 CFP: With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale […]

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