[CfP] DLMNH 2026 — 4th Workshop on Deep Learning meets Neuromorphic Hardware @ ECML-PKDD, Naples, Italy, Sep 7

[CLAUDIO GALLICCHIO]

Dear colleagues,

We are excited to announce the Call for Papers for the 4th International Workshop on Deep Learning meets Neuromorphic Hardware (DLMNH 2026), to be held as part of ECML-PKDD 2026 in beautiful Naples, Italy, on September 7th, 2026.

🌐 Workshop website: https://sites.google.com/view/dlmnh2026/home

---

About the Workshop

The intersection of deep learning and neuromorphic computing is one of the most stimulating frontiers in AI research today. As deep learning models grow in power, their scalability is increasingly constrained by the computational and energetic costs of training and deployment. Neuromorphic computing — inspired by biological neural systems — offers a compelling alternative, enabling computation, memory, and learning to emerge from the dynamics of physical substrates. Together, these fields open paths toward truly pervasive, energy-efficient AI.

We warmly welcome contributions from researchers across Computer Science, Engineering, Physics, Materials Science, Control Theory, Dynamical Systems, and related fields. Whether your work is deeply technical or reflects on broader societal implications, if it speaks to this intersection, we'd love to hear from you.

---

Topics of interest include (but are not limited to):

• Reservoir computing, lightweight and semi-randomized neural networks
• Spiking neural networks and continuous-time recurrent models / Neural ODEs
• Advanced training algorithms beyond backpropagation
• Reinforcement learning in neuromorphic systems
• Electronic, photonic, mechanical, and in-materia neuromorphic hardware
• In-memory and analogue computing architectures
• Quantum and physical computing
• Ethical and societal implications of energy-efficient AI

---

Important Dates

• 📅 Submission deadline: June 5, 2026
• 📅 Notification of acceptance: July 1, 2026
• 📅 Workshop: September 7, 2026

---

Submission Guidelines

We invite full papers (up to 16 pages) and extended abstracts / short papers (up to 6 pages), formatted according to the Springer LNCS template.

Accepted papers may opt in for publication in the post-workshop proceedings by Springer Communications in Computer and Information Science (CCIS, indexed by WOS).

We also welcome presentation-only contributions — novelty is not a requirement for these, and we actively encourage submissions of work already published or presented elsewhere, to foster cross-pollination of ideas across the deep learning and neuromorphic hardware communities.

📩 Submit here: https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Submission/Index After logging in, create a new submission and select the track "[DLMNH] — Deep Learning meets Neuromorphic Hardware".

---

We look forward to seeing you in Naples!

For any questions, feel free to reach out at: deeplearningneu...@googlegroups.com

Best regards, The DLMNH 2026 Organizing Committee

Claudio Gallicchio (University of Pisa, Italy), Andrea Ceni (University of Pisa, Italy), Gianluca Milano (INRiM, Turin, Italy)