arxiv
PublishedOctober 13, 2026 at 4:00 AM
Energy-Efficient Spiking Neural Networks for Sensing-Aided Beam Prediction
Publisher summary· verbatim
arXiv:2610.12507v1 Announce Type: cross Abstract: Sensing-aided beam prediction can reduce the beam-training overhead of millimeter-wave (mmWave) systems by leveraging environmental information from complementary modalities such as vision and position. However, the resulting sensing and inference pi
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response6harxivLearning Transferable Latent User Preferences for Human-Aligned Decision Making6harxivBeyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal6harxivTeaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization6hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗