<html><body><div><br></div><p class="p1">Dear colleagues,</p><p class="p2"> </p><p class="p1">We are pleased to invite submissions to the upcoming Springer
Nature Collection:<br></p><p class="p3"><b>Foundation Models on the Edge: Energy and Hardware Aware
Strategies for Embedded Intelligence</b></p><p class="p1">Participating journal: <i>Discover Electronics</i> (Open Access)</p><p class="p1">Submission deadline: <span class="s1"><b>25 November 2026</b></span></p><p class="p1">Collection link: <a rel="noopener noreferrer" href="https://link.springer.com/collections/jdeafifhga">https://link.springer.com/collections/jdeafifhga</a> </p><p class="p1">As Large Language Models (LLMs) and Visual Language Models (VLMs)
move beyond cloud-only deployments, their execution on embedded and edge
electronic platforms is becoming critical for low-latency, privacy-preserving,
and autonomous systems — including UAVs, autonomous robots, vehicular
platforms, and IoT-enabled critical infrastructures.<br></p><p class="p1">This Collection focuses on the <span class="s1"><b>electronic,
hardware, and energy-aware challenges</b></span> of deploying foundation models
under resource constraints. We welcome original research articles, reviews, and
methods papers addressing topics such as:<br></p><p class="p1">• Hardware accelerator design for transformer-based models (FPGA,
ASIC, neuromorphic approaches)</p><p class="p1">• Energy-efficient inference and power-aware scheduling on embedded
SoCs</p><p class="p1">• Hardware-aware quantization, pruning, distillation, and
mixed-precision strategies</p><p class="p1">• Systematic energy profiling and carbon footprint analysis across
hardware platforms</p><p class="p1">• Heterogeneous CPU–GPU–NPU orchestration and memory hierarchy
optimization</p><p class="p1">• Edge–cloud split inference and adaptive offloading strategies</p><p class="p1">• Embedded LLM integration in UAVs, robotic controllers, and
vehicular ECUs</p><p class="p1">• Reliability, safety assurance, and thermal management for
safety-critical systems</p><p class="p1">• Electronic-level benchmarking and reproducible measurement
frameworks</p><p class="p1">• Sustainability and lifecycle-aware hardware design for foundation
model deployment<br></p><p class="p3"><span class="s2">This Collection supports and amplifies research
aligned with </span><b>SDG 7 (Affordable and Clean Energy), SDG 9 (Industry,
Innovation and Infrastructure), and SDG 13 (Climate Action).</b></p><p class="p2"> </p><p class="p1"><span style="font-family:"Apple Color Emoji"" class="font">📌</span> Journal information – <i>Discover
Electronics</i></p><p class="p1">• Fully Open Access</p><p class="p1">• Median time to first decision: 13 days</p><p class="p1"><span lang="ES" style="mso-ansi-language:ES">• 153.8k downloads
(2025)</span></p><p class="p2"><span lang="ES" style="mso-ansi-language:ES"> </span></p><p class="p1"><span lang="ES" style="mso-ansi-language:ES">Editors:</span></p><p class="p1"><span lang="ES" style="mso-ansi-language:ES">• Dr. J. de Curtò
(Universidad Pontificia Comillas / BSC-CNS)</span></p><p class="p1"><span lang="ES" style="mso-ansi-language:ES">• Dr. Carlos T. Calafate
(Universitat Politècnica de València)</span></p><p class="p1">• Dr. I. de Zarzà (LUXEMBOURG Institute of Science and Technology)</p><p class="p2"> </p><p class="p1">We particularly encourage submissions that combine <span class="s1"><b>empirical
validation, hardware-level instrumentation, and reproducible evaluation
methodologies</b></span>, bridging the gap between foundation model theory and
electronic system implementation.<br></p><p class="p1">We would greatly appreciate if you could circulate this call within
your research groups and networks. We look forward to your contributions.</p><p class="p2"> </p><p class="p1">Best regards,</p><p class="p1"><span lang="ES" style="mso-ansi-language:ES">Dr. de Curtò, J;</span></p><p class="p1">Professor; Universidad Pontificia Comillas</p><p class="p1"><span lang="ES" style="mso-ansi-language:ES">BARCELONA Supercomputing
Center – Centro Nacional de Supercomputación</span></p><p class="p1">(on behalf of the Guest Editors)</p><div><div class="x-apple-signature" style="white-space: pre-wrap">--
Professor Dr. de Curtò, J.
Recognised Researcher, BARCELONA Supercomputing Center - Centro Nacional de Supercomputación, Plaça Eusebi Güell, 1-3 Barcelona, 08034
Profesor Asociado, Universidad Pontificia Comillas, Alberto Aguilera, 23 Madrid, 28015
e-mail: <a href="mailto:jdecurto@icai.comillas.edu">jdecurto@icai.comillas.edu</a> web: <a rel="noopener noreferrer" href="https://web.comillas.edu/profesor/jdecurto">https://web.comillas.edu/profesor/jdecurto</a></div><div><br></div></div><div><br></div></body></html>