Abstract: In an embodiment, a neuroimager alignment and coupling evaluation (NACE) system, includes a neuroimaging device; a fiducial affixed to the neuroimaging device; an imaging device; and an augmented reality (AR) module coupled to the imaging device and configured to provide alignment data for the neuroimaging device by tracking facial or cranial landmarks and the fiducial.

Abstract: Systems, methods, and computer-readable media for computer-assisted output validation in machine learning/artificial intelligence platforms are disclosed. An application instance includes one or more machine learning models used to generate searchable data structures based on multimodal inputs.

Abstract: The technology disclosed prevents phishing attacks where a malicious attacker creates a malicious file in a cloud-based store and shares it with endpoint users. A user, opening the shared document, is redirected to a malicious website where a corporation's critical data may be compromised. The cloud-based method applies a set of rules and policies to allow the shared document or block the shared document from the network, based on identifying the ownership or originator of the shared document. Documents from blacklisted websites are blocked. Documents from trusted sources are allowed access to the network. Unknown documents are blocked and threat-scanned to determine if they contain malicious content. If analysis proves a blocked document to be safe, it may be released into the network along with subsequent documents having the same ownership or originator.

Abstract: Process of materials recovery from energy storage devices, wherein the process comprises cleaning, washing, deep discharging and then crushing the devices to recover floating non-magnetic materials and magnetic materials. Further the black mass is treated with baking process, water soaking process, gravity filtration process, leaching process, Cobalt salt recovery process, Manganese salt recovery process, Nickel salt recovery process, Sodium salt recovery process, Lithium salt recovery process and then selective absorption of respective ions using Ion-exchange resin and liquid-liquid extraction using organic solvent for beneficiation to recover pure Cobalt ions, Manganese ions, Nickel ions and Lithium ions. Further the process of the present invention facilitates in recovering all possible battery grade materials from used energy storage devices.

Abstract: Systems, methods, and computer-readable media for generating responses to natural-language queries regarding items in unstructured documents are disclosed. An application instance that includes one or more machine learning models receives, from a subscriber computing system, a query and document comprising unstructured data. Based on the unstructured data, the application instance generates a searchable data structure using a machine learning model. A query response is generated by performing a semantic search on the searchable data structure. The query response is provided to a target application.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving a request from a client device to join a room, the room associate with a plurality of other client devices streaming multimedia content; adding the client device to the room in response to the request; computing a synchronization time for the client based on time values associated with the client device and the other client devices; and transmitting the synchronization time to the client device, causing the client device to adjust playback of the multimedia content based on the synchronization time.

Abstract: The technology disclosed prevents phishing attacks where a malicious attacker creates a malicious file in a cloud-based store and shares it with endpoint users. A user, opening the shared document, is redirected to a malicious website where a corporation's critical data may be compromised. The cloud-based method applies a set of rules and policies to allow the shared document or block the shared document from the network, based on identifying the ownership or originator of the shared document. Documents from blacklisted websites are blocked. Documents from trusted sources are allowed access to the network. Unknown documents are blocked and threat-scanned to determine if they contain malicious content. If analysis proves a blocked document to be safe, it may be released into the network along with subsequent documents having the same ownership or originator.

Abstract: A Precise Positioning Engine (PPE) may use correction information to perform highly accurate Global Navigation Satellite Systems (GNSS) positioning. Transitioning between, or “swapping,” of a first correction information source (e.g., Real-Time Kinematic (RTK) base station) with a second correction information source may be handled using correction information from the first correction information source to update a first state of the PPE. The updated PPE can then be modified by initializing at least ambiguity values of the PPE state. Correction information from the second base can be used to further update the PPE to a second state without a time update at the PPE. By employing this process, embodiments can reduce sudden changes in position estimation due to correction information source swapping, which can often result in resetting of the PPE and a reduced user experience quality.

Abstract: Systems, methods, and computer-readable media for generating responses to natural-language queries regarding items in unstructured documents are disclosed. An application instance that includes one or more machine learning models receives, from a subscriber computing system, a query and document comprising unstructured data. Based on the unstructured data, the application instance generates a searchable data structure using a machine learning model. A query response is generated by performing a semantic search on the searchable data structure. The query response is provided to a target application.

Abstract: An application instance that includes one or more machine learning models receives, from a subscriber computing system, a document comprising unstructured data. Based on the unstructured data, the application instance generates an optimized model input that includes a plurality of parsed document sections. For each parsed document section, the application instance generates an output set by performing, by a machine learning model, at least one key information extraction operation. The machine learning model transmits the output in structured form to a target application operated or hosted at least in part by a subscriber entity associated with the subscriber computing system.

Abstract: The disclosed technology teaches securing a collaboration tool against unauthorized data exfiltration and malicious files, setting policies for file exfiltration to external guest users, uploading users in the external category, and using a proxy that intercepts an add request and response for a collaboration tool. The add response contains a tag identifying the invited user in the category. The request doesn't identify the user as a guest. Also taught is storing metadata identifying the user in the guest category for applying policies, and using a proxy that intercepts a user request and response for file transfer, and looking up and identifying the user as in the category, and applying the applicable policy. Responsive to the policy, included is invoking DPI and detecting that the referenced file contains sensitive information not permitted by the policy to be transferred by the particular user in the external guest category and blocking file transfer.

Abstract: The disclosed technology teaches securing a collaboration tool against unauthorized data exfiltration and malicious files, setting policies for file exfiltration to external guest users, uploading users in the external category, and using a proxy that intercepts an add request and response for a collaboration tool. The add response contains a tag identifying the invited user in the category. The request doesn't identify the user as a guest. Also taught is storing metadata identifying the user in the guest category for applying policies, and using a proxy that intercepts a user request and response for file transfer, and looking up and identifying the user as in the category, and applying the applicable policy. Responsive to the policy, included is invoking DPI and detecting that the referenced file contains sensitive information not permitted by the policy to be transferred by the particular user in the external guest category and blocking file transfer.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving a request from a client device to join a room, the room associate with a plurality of other client devices streaming multimedia content; adding the client device to the room in response to the request; computing a synchronization time for the client based on time values associated with the client device and the other client devices; and transmitting the synchronization time to the client device, causing the client device to adjust playback of the multimedia content based on the synchronization time.

Abstract: An application instance that includes one or more machine learning models receives, from a subscriber computing system, a document comprising unstructured data. Based on the unstructured data, the application instance generates an optimized model input that includes a plurality of parsed document sections. For each parsed document section, the application instance generates an output set by performing, by a machine learning model, at least one key information extraction operation. The machine learning model transmits the output in structured form to a target application operated or hosted at least in part by a subscriber entity associated with the subscriber computing system.

Abstract: The disclosed embodiments describe methods, devices, systems, and computer-readable media for synchronizing streamlining multimedia files among client devices. In the various embodiments, multiple client devices are configured to adjust playback of live multimedia content to synchronize playback in combination with a video conference.

Abstract: The technology disclosed prevents phishing attacks where a malicious attacker creates a malicious file in a cloud-based store and shares it with endpoint users. A user, opening the shared document, is redirected to a malicious website where a corporation's critical data may be compromised. The cloud-based method applies a set of rules and policies to allow the shared document or block the shared document from the network, based on identifying the ownership or originator of the shared document. Documents from blacklisted websites are blocked. Documents from trusted sources are allowed access to the network. Unknown documents are blocked and threat-scanned to determine if they contain malicious content. If analysis proves a blocked document to be safe, it may be released into the network along with subsequent documents having the same ownership or originator.

Abstract: The disclosed embodiments describe methods, devices, systems, and computer-readable media for synchronizing streamlining multimedia files among client devices. In the various embodiments, multiple client devices are configured to adjust playback of live multimedia content to synchronize playback in combination with a video conference.

Abstract: The technology disclosed includes a system and method for preventing phishing attacks caused by sharing documents with malicious content over a network, where the shared document may include links that redirect users to a malicious websites. The cloud-based method applies a set of rules and policies to allow the shared document or block the shared document from the network, based on identifying the ownership or originator of the shared document. Blocked documents are quarantined, analyzed for threats, and subjected to sandbox methods to determine malicious content that may compromise corporate data. If analysis proves the blocked document to be safe, it may be released into the network along with subsequent documents having the same ownership or originator. The technology disclosed is particularly useful where a malicious attacker creates a malicious file in a cloud-based store such a Google Drive and shares it with endpoint users.

Abstract: Systems including a universal context aggregator configured to pre-fetch context information that may be used to perform various processes with respect to a user input are described. The aggregator may have access to data representing what context information components of the system routinely request in various situations. When a particular situation is present, prior to being queried, the aggregator may pre-fetch context information that the aggregator is likely to be queried for.

Abstract: In some embodiments, cooling devices with metal hydrides are disclosed.