Options Corner: Palo Alto Networks' Non-Negotiable Business Presents A Compelling Discount

While Palo Alto Networks fell amid the rotation away from tech, the smart money is driving optimism in the options market for ...
IEEE

CADEC: A Combinatorial Auction for Dynamic Distributed DNN Inference Scheduling in Edge-Cloud Networks

Abstract: Deep Neural Network (DNN) Inference, as a key enabler of intelligent applications, is often computation-intensive and latency-sensitive. Combining the advantages of cloud computing (abundant ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
Frontiers

Construction of a Bayesian network-based risk prediction model for hepatocellular carcinoma in cirrhotic patients

1 School of Public Health, Xinjiang Medical University, Urumqi, China 2 The Second Affiliated Hospital of Xi’an Jiaotong University Xinjiang Hospital, People’s Hospital of Xinjiang Uygur Autonomous ...
IEEE

Variational Bayesian Inference-Inspired Network for Compressive Spectral Imaging

Abstract: In coded aperture snapshot spectral imaging (CASSI) systems, model-based approaches highly rely on the handcrafted priors, while data-driven methods overlook the physical degradation process ...