Abstract:
Methods and systems to train artificial intelligence modules protect privacy of sensitive data by virtue of the fact that the data source (1) extracts blocks of partial data from the source item of content (11) and distributes the extracted partial data to a plurality of processing nodes (5) in an intermediate processing system (2). The processing nodes each perform an initial portion of the training process, for example by performing a convolution of the partial data, to produce a partial model (PM). The partial models (PM) are transmitted to a merging module (10) which amalgamates them and completes the training process to generate a global model (GM) for the AI task.
Abstract:
Methods and systems to monitor, at a source device (1), the rendering at a destination device (2) of content received by the destination device from the source device. In one use case, a source device monitors the fidelity of screen-sharing by a remote device. At the destination device (2), a metric is generated characterising the content rendered at the destination device. Using this metric, the similarity between the content rendered at the destination device (2) and source content transmitted by the source device (1) is estimated. An indication of the estimated similarity is then displayed on a display (11) associated with the source device.
Abstract:
The present invention relates to a method for assisting the acquisition of a media content at a scene (S) provided with at least one main acquisition unit (C) connected to a server (2), characterized it comprises performing by a processing unit (21) of the server (2), steps of: -Receiving (a), from an electronic device (1) comprising a secondary acquisition unit (14), a request for acquiring a media content at the scene (S), said request comprising data representative of acquisition conditions at the secondary acquisition unit (14); -Providing (b) in response a first media content generated as a function of data representative of acquisition conditions at the secondary acquisition unit (14) from generic media content outputted by said at least one main acquisition unit (C).
Abstract:
Methods and apparatus automatically identify which Internet-of-Things (IoT) devices within a set are behaving in a manner non-compliant to a target behaviour. Each IoT device (11) is assigned to a grid point in a notional m-dimensional space. A respective assessment module (2, 3) is arranged to monitor behaviour of a group of IoT devices assigned to grid points that are aligned with one another at a respective position along the respective dimension, and to produce an output indicative of non-compliant behaviour in the event that the monitoring indicates that behaviour in the group of IoT devices deviates from a behavioural model of the IoT devices of said group. An identification module (5) identifies at least one non-compliant IoT device in the set of IoT devices by combining outputs from the assessment modules assigned to the different dimensions of the space. The assessment modules may use trained machine-learning algorithms embodying a model of normal behaviour of the group of devices.
Abstract:
A method for assisting the acquisition of a picture by a device (1) comprising a processing unit (11), a display (13) and a camera (14), the device (1) being configured to output on said display (13) a preview of a scene visible from the camera (14), the method comprising performing by the processing unit (11) steps of: (a) obtaining reference data associated to a target picture depicting at least one reference object, said reference data comprising at least location data and an outline of said reference object; (b) when a location of the device (1) matches said location data associated with the target picture, providing the outline as an overlay to said preview outputted on said display (13) so as to allow reproducing said target picture.
Abstract:
A light module assembly (100) includes a lens (104), a circuit board (200), and an overmold body (102). The lens (104) includes one or more pooling structures (218, 220) formed by transversely oriented exterior surfaces (402, 404) of the lens (104). The circuit board (200) is coupled to the lens (104) and has one or more light-generating devices (106) disposed on the circuit board (200). The overmold body (102) is coupled to the lens (104) to form an interface (214) between the lens (104) and the overmold body (102). The interface (214) between the lens (104) and the ovemold body (102) includes or defines moisture ingress path (216) into the circuit board (200). The one or more pooling structures (218, 220) prevent passage of moisture along the moisture ingress path (216) past the one or more pooling structures (218, 220) to the circuit board (200).
Abstract:
A computer-implemented method for controlling adaptive streaming media access includes requesting a first portion of media content from a content server and requesting authorization corresponding to a second portion of media content from an authorization server. The method further includes submitting evidence to the authorization server that the first portion of media content has been received by a client device and receiving a representation of authorization to access the second portion of media content in response to the evidence complying with a requirement. The method also includes requesting the second portion of media content from the content server, presenting the representation of authorization to the content server, and receiving the second portion of media content in response to the representation of authorization being accepted by the content server. The method can effectively control client behavior to prevent the client from skipping past required media content, such as a commercial advertisement.
Abstract:
The invention relates to the prevention and treatment of metabolic abnormalities characterized by abnormal glucose metabolism, including diabetes mellitus and new onset diabetes mellitus through the use of fibroblast activation protein (FAP) selective inhibitors.
Abstract:
A method and system for integrity certification and verification in a computer environment based on characteristics and behaviors of one or more applications, systems or system components as compared with a profile of characteristics and behaviors, including determining a behavior integrity profile (BIP) specifying characteristics and behaviors of one or more applications, systems or system components; determining based on the BIP whether or not characteristics and behaviors of one or more applications, systems or system components are compliant with characteristics and behaviors defined in a behavior integrity profile specification; and determining access rights to the one or more applications, systems or system components based on the step of determining the compliance.
Abstract:
Methanol-tolerant cathodic catalysts were prepared by depositing platinum nanoparticles and iron macrocycles on a carbon substrate. The order of depositing the iron and platinum on the carbon substrate were varied to form a (Fe-Pt)/C catalyst and a (Pt-Fe)/C catalyst. Different sintering temperatures were investigated to determine the heating effect on methanol tolerance. Oxygen reduction with and without the presence of methanol on these new catalysts was evaluated by using a rotating disk electrode system.