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https://deepai.org/publication/task-oriented-communication-for-multi-device-cooperative-edge-inference Task-Oriented Communication for Multi-Device Cooperative Edge Inference | DeepAI Sep 1, 2021 - 09/01/21 - This paper investigates task-oriented communication for multi-device cooperative edge inference, where a group of distributed low-... multi device edge inference task oriented communication https://deepai.org/publication/learning-task-oriented-communication-for-edge-inference-an-information-bottleneck-approach Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach | DeepAI Feb 8, 2021 - 02/08/21 - This paper investigates task-oriented communication for edge inference, where a low-end edge device transmits the extracted featur... for edge https://www.digitimes.com/news/a20260410VL217/gitex-asia-2026-ai-infrastructure-singapore.html AI spending shifts to edge inference as GITEX Asia spotlights monetization push GITEX Asia 2026 wrapped up in Singapore with a clear shift in industry priorities, as artificial intelligence (AI) spending moves from infrastructure buildout... edge inference https://arxiv.org/abs/2409.04249 [2409.04249] Hermes: Memory-Efficient Pipeline Inference for Large Models on Edge Devices Abstract page for arXiv paper 2409.04249: Hermes: Memory-Efficient Pipeline Inference for Large Models on Edge Devices https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference/ios?authuser=5 LLM Inference guide for iOS | Google AI Edge | Google AI for Developers llm inference for ios google ai guide edge https://arxiv.org/abs/2604.17373 [2604.17373] Active Inference-Based Adaptive Routing for Heterogeneous Edge AI Services Abstract page for arXiv paper 2604.17373: Active Inference-Based Adaptive Routing for Heterogeneous Edge AI Services active inference adaptive routing https://www.infoq.com/news/2025/09/linkedin-edge-recommendations/ LinkedIn Re-Architects Edge-Building System to Support Diverse Inference Workflows - InfoQ LinkedIn has detailed its re-architected edge-building system, an evolution designed to support diverse inference workflows for delivering fresher and more... building system https://www.hpe.com/psnow/doc/a50006385enw High-performance, energy-efficient AI inference at the Edge solution brief AI inference workloads with integrated and optimized HPE Edgeline EL8000 Converged Edge Systems and Intel Arctic Sound-M ATS-M75 and ATS-M150 PCIe accelerators. at the edge high performance energy efficient ai inference https://ai.google.dev/edge/api/mediapipe/python/mp/calculators/tensor/inference_calculator_pb2/InferenceCalculatorOptions mp.calculators.tensor.inference_calculator_pb2.InferenceCalculatorOptions | Google AI Edge | Google... google ai mp calculators tensor inference https://openreview.net/forum?id=ewDvdtfzN0&referrer=%5Bthe%20profile%20of%20Jie%20Liu%5D(%2Fprofile%3Fid%3D~Jie_Liu15) DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference | OpenReview Due to limited resources on edge and different characteristics of deep neural network (DNN) models, it is a big challenge to optimize DNN inference performance... for energy