Abstract: Data is input to one of a plurality of neural networks. Each of the plurality of neural networks is to be of a different size. A propagation time is determined for the inputted data. The propagation time relates to a time for the inputted data to propagate through one of the plurality of neural networks. One of the plurality of neural networks is selected based on the propagation time.

Abstract: The present invention provides methods and apparatus for treating waste, such as municipal waste via pyrolysis and yielding one or more of heat energy; electrical energy and fuel. In some embodiments, waste feed stock can be municipal waste in black bag form. In some the present invention additionally provides for processing of hundreds of tons of municipal waste each day.

Abstract: The present invention provides methods and apparatus for treating waste, such as municipal waste via pyrolysis and yielding one or more of heat energy; electrical energy and fuel. In some embodiments, waste feed stock can be municipal waste in black bag form. In some the present invention additionally provides for processing of hundreds of tons of municipal waste each day.

Abstract: Data is input to one of a plurality of neural networks. Each of the plurality of neural networks is to be of a different size. A propagation time is determined for the inputted data. The propagation time relates to a time for the inputted data to propagate through one of the plurality of neural networks. One of the plurality of neural networks is selected based on the propagation time.

Abstract: A plurality of attribute scores are calculated for data including audio based on a plurality of acoustic attributes. Each of the attribute scores relate to a detection of one of the acoustic attributes in the data including audio. A suitability score is output based on the plurality of attribute scores. The suitability score relates to an accuracy of a speech recognition system to transcribe the data including audio.

Abstract: Examples disclosed herein involve obfuscating training data. An example method includes computing a sequence of acoustic features from audio data of training data, the training data comprising the audio data and a corresponding text transcript; mapping the acoustic features to acoustic model states to generate annotated feature vectors, the annotated feature vectors comprising the acoustic features and corresponding context from the text transcript; and providing a randomized sequence of the annotated feature vectors as obfuscated training data to an audio analysis system.

Abstract: The present invention provides methods and apparatus for treating waste, such as municipal waste via pyrolysis and yielding one or more of heat energy; electrical energy and fuel. In some embodiments, waste feed stock can be municipal waste in black bag form. In some the present invention additionally provides for processing of hundreds of tons of municipal waste each day.

Abstract: The present invention provides methods and apparatus for treating waste, such as municipal waste via pyrolysis and yielding one or more of heat energy, electrical energy and fuel. In some embodiments, waste feed stock can be municipal waste in black bag form. In some the present invention additionally provides for processing of thousands of tons of municipal waste each day.

Abstract: Examples of processing audio data are described. In certain examples, a transcript language model is based on text data representative of a transcript associated with the audio data. The audio data is processed to determine at least a set of confidence values for language elements in a text output of the processing, wherein the processing uses the transcript language model. The set of confidence values enable a determination to be made. The determination relates to whether the text data is associated with said audio data based on said set of confidence values.

Abstract: The present invention provides methods and apparatus for treating waste, such as municipal waste via pyrolysis and yielding one or more of heat energy, electrical energy and fuel. In some embodiments, waste feed stock can be municipal waste in black bag form. In some the present invention additionally provides for processing of thousands of tons of municipal waste each day.

Abstract: The present invention provides methods and apparatus for treating waste, such as municipal waste via pyrolysis and yielding one or more of heat energy, electrical energy and fuel. In some embodiments, waste feed stock can be municipal waste in black bag form. In some the present invention additionally provides for processing of thousands of tons of municipal waste each day.

Abstract: The present invention provides methods and apparatus for treating waste, such as municipal waste via pyrolysis and yielding one or more of heat energy, electrical energy and fuel. In some embodiments, waste feed stock can be municipal waste in black bag form. In some the present invention additionally provides for processing of thousands of tons of municipal waste each day.

Abstract: A non-invasive device adapted to measure intraocular pressure (IOP) comprising: a pressure sensor mounted on a soft contact lens to be worn on the eye of a subject, wherein the device is adapted such that, when worn on the eye, the pressure sensor is located at or near the transitional region of the cornea. The pressure sensor communicates wirelessly to an external controlling device through a magnetic field-based telemetry system that serves to power the pressure sensor and transmit the pressure measurements to the external device.

Abstract: An immunogenic polypeptide for use in inducing an immune response against Plasmodium infection comprises an amino acid sequence corresponding to a non-full length fragment of the apical membrane antigen 1 (AMA-1) of Plasmodium species which does not include a transmembrane domain thereof, and which is stabilised by folding thereof. Production of the immunogenic polypeptide by expression of a recombinant DNA molecule in a host cell, and methods and compositions using the immunogenic polypeptide are disclosed.