The Smart Cart is an AI-and IoT-based intelligent shopping system designed to transform the conventional retail shopping experience by enabling automated billing, real-time inventory monitoring, and personalized customer assistance.Traditional shopping carts and manual checkout processes often result in long queues, in...
Vaibhav Shinde, Pranav Tekale, Geetanjali Dhore et al.· International Journal of Inn...· 0 citations
RTMDet-AS is presented, a robust instance segmentation network tailored to address the challenges of cluttered backgrounds, dense fruit clusters, and the strict efficiencyaccuracy trade-off required for edge computing in unstructured greenhouses with a 96.7 FPS inference rate and fewer computational efforts.
Xuan-Bin Xu, Shi-Qi Zou, Jia-Shuo Liang et al.· International Conference on...· 0 citations
The failure modes of artificial intelligence systems deployed at the edge are not, at their root, failures of model quality, training data adequacy, or algorithmic design. They are failures of architectural composition: the failure to design for the constraints that edge environments impose as boundary conditions rathe...
Justin H. Kuiper· Zenodo (CERN European Organi...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
In conventional neuroscience, the visual organ—the eyeball—has been treated as a “passive sensor that converts external photon information into electrical signals at the retina and transmits them to the cerebral visual cortex.” However, within the framework of the in vivo quantum processing unit (Bio-QPU) theory, the c...
kotoan.gg· Zenodo (CERN European Organi...· 0 citations
According to the study designed and impIemented an intelligent rice crop monitoring system based on unmanned aerial vehicle (UAV) optical remote sensing, and artificial intelligence (AI) technology. A multirotor UAV platform, multispectral imaging sensors, edge computing modules and a cloud-based AI analysis platform a...
Lijun Bo· International Conference on...· 0 citations
Extended version of a paper on decentralized fastest mixing Markov chain (FMMC) optimization. The method represents the transition matrix through O(|E|) edge variables, splits the graph-feasibility and spectral-box constraints by ADMM, computes the graph projection with an exact distributed consensus ADMM, and computes...
Raghuram Nagireddy· Zenodo (CERN European Organi...· 0 citations
This perspective argues that the more consequential shift is genuine predictive capability: forecasting contamination before it manifests, enabling proactive intervention rather than reactive damage control.
Supporting data for the article “Reactive aqueous NIPS of a Jatropha-oil-derived NCO-terminated precursor with polyethersulfone: reaction–demixing coupling, urethane–urea network formation and Cu(II) uptake at ionisable acidic sites” (Journal of Membrane Science). The record holds the structured numerical records under...
Rising heat-flux densities in high-performance computing centers impose stringent requirements on the stability of liquid-cooling circulation systems, in which centrifugal pumps are susceptible to cavitation-induced flow instabilities. However, the physical mechanism by which cavitation disturbances are generated and a...
Rising heat-flux densities in high-performance computing centers impose stringent requirements on the stability of liquid-cooling circulation systems, in which centrifugal pumps are susceptible to cavitation-induced flow instabilities. However, the physical mechanism by which cavitation disturbances are generated and a...
The fast progress of deep learning and computer vision technology is providing new ways to solve the problem of managing inventory in live e-commerce. As the live e-commerce industry grows, the traditional inventory management model struggles to meet the demands of high concurrency and real-time transactions. The paper...
Xiaoli Zhao· Advances in transdisciplinar...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026