Abstract: A system may present notifications to an occupant of a vehicle and determine whether the occupant has given attention to the notification. The system oscillates a visual notification at an output frequency. The system captures images of an eye of the occupant to determine an eye pupil oscillation frequency associated with the occupant. The system compares the eye pupil oscillation frequency to the output frequency. The system determines whether attention was given to the notification based on whether the output frequency and the eye pupil oscillation frequency match. If the system determines that attention was not given, the system may cause performance of one or more follow-up operations.

Abstract: A model training service of a provider network may receive content items as training data. For example, the content items may be documents with certain portions labeled as stale. The model training service may train one or more different types of models using those content items (e.g., natural language inference model, paraphrasing detection model, named entity recognition model). The model training service may then provide the model(s) to a content staleness check (CSC) service. The CSC service may receive, from a client, a request that indicates one or more content items to be checked for staleness. The CSC service may process the content items by the model(s) to generate one or more indications of staleness of the content item. The CSC service may generate a response based on the indications of staleness. For example, the CSC service may generate a document with certain portions highlighted as stale content.

Abstract: Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query, wherein at least one of the machine learning models has been trained for the third party; and returning one or more of the top ranked passage and the proper subset of documents.

Abstract: A system may present notifications to an occupant of a vehicle and determine whether the occupant has given attention to the notification. The system oscillates a visual notification at an output frequency. The system captures images of an eye of the occupant to determine an eye pupil oscillation frequency associated with the occupant. The system compares the eye pupil oscillation frequency to the output frequency. The system determines whether attention was given to the notification based on whether the output frequency and the eye pupil oscillation frequency match. If the system determines that attention was not given, the system may cause performance of one or more follow-up operations.

Abstract: A container inspection equipment with cobalt-60 ?-ray source and cesium iodide or cadmium tungstate detector includes a cobalt-60 ?-ray source, a cask, a front collimator, a rear collimator, a cesium iodide or cadmium tungstate detector, signal and image processing systems, container trailer system, and automatic control system. The cask of the cobalt-60 ?-ray source, the beam shutter, and the front collimator are fixed on the same chassis to form an integration and placed in the source room. The rear collimator, cesium iodide or cadmium tungstate array detector and the radiation catcher are fixed on the same chassis to form an integration and placed in the detector room. A container inspection tunnel is formed between the source room and the detector room. The equipment is mainly used for inspecting smuggling goods and contrabands etc., in large containers, container trucks, train carriage and air containers.

Abstract: A container inspection equipment with cobalt-60 &ggr;-ray source and cesium iodide or cadmium tungstate detector includes a cobalt-60 &ggr;-ray source, a cask, a front collimator, a rear collimator, a cesium iodide or cadmium tungstate detector, signal and image processing systems, container trailer system, and automatic control system. The cask of the cobalt-60 &ggr;-ray source, the beam shutter, and the front collimator are fixed on the same chassis to form an integration and placed in the source room. The rear collimator, cesium iodide or cadmium tungstate array detector and the radiation catcher are fixed on the same chassis to form an integration and placed in the detector room. A container inspection tunnel is formed between the source room and the detector room. The equipment is mainly used for inspecting smuggling goods and contrabands etc., in large containers, container trucks, train carriage and air containers.