Abstract: A computer-implemented method may include generating an optimistically executable echo state network (ESN), including a reservoir, input layer, and output layer, each with its own group of neurons and synapses; training the optimistically executable ESN, including updating a weight of each output synapse; and performing inference calculation via the optimistically executable ESN. During the inference calculation, at least one neuron may determine, based on a sequence of synapses messages received at the neuron, whether the neuron processed the sequence of synapse messages out of order. If the neuron processed the sequence of synapse messages out of order, the neuron may reverse-compute at least one computation performed by the neuron and perform the at least one computation based on receipt of the sequence of synapse messages in a correct order as determined by the timestamp of each synapse message in the sequence of synapse messages.

Abstract: A computer-implemented method is disclosed. The method may include providing, in a computer-readable storage device, a dataspace. The dataspace may include a plurality of logical segments, and dataspace data stored in the plurality of logical segments. The method may include receiving, from a data source external to the dataspace, a data artifact. The data artifact may include a plurality of data elements. The method may include processing, at a plurality of data filters, the plurality of data elements. A data filter of the plurality of data filters may process a data element of the plurality of data elements, based on a structure of the plurality of the data elements, or a configuration of the data filter. The method may include generating, based on the processed plurality of data elements, processed data. The method may include sending the processed data to the dataspace.

Abstract: A computer-implemented method is disclosed. The method may include generating a first deep learning model configuration and calculating a first result metric for the first deep learning model configuration. The method may include selecting a first sample space based on the first deep learning model configuration. The method may include generating a second deep learning model configuration. The second deep learning model configuration may be within the first sample space. The method may include calculating a second result metric for the second deep learning model configuration. The method may include, in response to the second result metric exceeding the first result metric, selecting a second sample space. The second sample space may be based on the second deep learning model configuration. The method may include, in response to the second result metric not exceeding the first result metric, reducing the size of the first sample space.

Abstract: A computer-implemented method is disclosed. The method may include receiving, at a neuron of an artificial neural network, a sequence of synapse messages. Each synapse message may include a timestamp of the time the synapse message was sent. The method may include determining, based on the timestamp of each synapse message, whether the neuron processed the sequence of synapse messages out of order with respect to the timestamps. The method may include, in response to the neuron processing the sequence of synapse messages out of order, reverse-computing at least one computation performed by the neuron in response to processing the sequence of synapse messages out of order. The method may include performing the at least one computation based on receipt of the sequence in a correct order as determined by the timestamp of each synapse message in the sequence of synapse messages.

Abstract: The present invention is directed to a 2-deoxyribose-5-phosphate aldolase (DERA) chemoenzymatic process for making chiral compounds.

Abstract: The present invention is directed to a 2-deoxyribose-5-phosphate aldolase (DERA) chemoenzymatic process for making chiral compounds.

Abstract: The present invention is directed to a 2-deoxyribose-5-phosphate aldolase (DERA) chemoenzymatic process for making chiral compounds.

Abstract: The present invention is directed to a 2-deoxyribose-5-phosphate aldolase (DERA) chemoenzymatic process for making chiral compounds.

Abstract: The present invention relates to a chimeric gene that includes a first DNA molecule encoding a hypersensitive response elicitor protein or polypeptide, a promoter operably linked 5? to the first DNA molecule to induce transcription of the first DNA molecule in response to activation of the promoter by an oomycete, and a 3? regulatory region operably linked to the first DNA molecule. Also disclosed are an expression system and a host cell containing the chimeric gene. The present invention also relates to a transgenic plant resistant to disease resulting from oomycete infection, the transgenic plant including the chimeric gene, wherein the promoter induces transcription of the first DNA molecule in response to infection of the plant by an oomycete. Transgenic seeds and transgenic cultivars obtained from the transgenic plant are also disclosed. Additional aspects of the present invention include methods of making a recombinant plant cell and a transgenic plant.

Abstract: One aspect of the present invention relates to a DNA construct that contains a first DNA molecule encoding a functional type III secretion system, a promoter, and a second DNA molecule encoding a protein or polypeptide capable of being secreted by the type III secretion system. The second DNA molecule is operably coupled to the promoter so that upon introduction of the DNA construct into a host cell, the encoded protein or polypeptide and the type III secretion system are expressed and the encoded protein or polypeptide is secreted. Another aspect of the present invention relates to a system that includes (i) a first DNA construct having a first DNA molecule encoding a functional type III secretion system and (ii) a second DNA construct having a promoter operably coupled to a second DNA molecule encoding a protein or polypeptide capable of being secreted by the type III secretion system.

Abstract: A peer-to-peer electronic marketplace and systems and methods for conducting transactions therein is provided. More particular, the electronic marketplace includes member systems and a market administrator. The market administrator controls the membership to a market of goods/services. Member systems communicate directly with each other using mobile agents without having to go through the market administrator. The mobile agents not only allow the users to remain anonymous, but also efficiently locate buyers and sellers of goods/services.

Abstract: The present invention relates to a chimeric gene that includes a first DNA molecule encoding a hypersensitive response elicitor protein or polypeptide, a promoter operably linked 5′ to the first DNA molecule to induce transcription of the first DNA molecule in response to activation of the promoter by an oomycete, and a 3′ regulatory region operably linked to the first DNA molecule. Also disclosed are an expression system and a host cell containing the chimeric gene. The present invention also relates to a transgenic plant resistant to disease resulting from oomycete infection, the transgenic plant including the chimeric gene, wherein the promoter induces transcription of the first DNA molecule in response to infection of the plant by an oomycete. Transgenic seeds and transgenic cultivars obtained from the transgenic plant are also disclosed. Additional aspects of the present invention include methods of making a recombinant plant cell and a transgenic plant.

Abstract: The nucleic acid and amino acid sequences for proteinaceous elicitors of the plant defense reaction known as the hypersensitive response are described along with methods for preparation and processes for inactivation.

Abstract: The nucleic acid and amino acid sequences for proteinaceous elicitors of the plant defense reaction known as the hypersensitive response are described along with methods for preparation and processes for inactivation.