Abstract: The present invention pertains generally to the field of therapeutic compounds. More specifically the present invention pertains to 5-[[4-[[morpholin-2-yl]methylamino]-5-(trifluoromethyl)-2-pyridyl]amino]pyrazine-2-carbonitrile compounds (referred to herein as “TFM compounds”) which, inter alia, inhibit Checkpoint Kinase 1 (CHK1) kinase function. The present invention also pertains to pharmaceutical compositions comprising such compounds, and the use of such compounds and compositions, both in vitro and in vivo, to inhibit CHK1 kinase function, and in the treatment of diseases and conditions that are mediated by CHK1, that are ameliorated by the inhibition of CHK1 kinase function, etc., including proliferative conditions such as cancer, etc.

Abstract: Disclosed herein is a compound or pharmaceutically acceptable salts or stereoisomers thereof of of formula I wherein X1 is linear or branched C1-6 alkyl, C3-6 cycloalkyl, —C1-6 alkyl C3-6 cycloalkyl, C6-10 aryl, 5-10 membered heteroaryl, C1-6 alkyl C6-10 aryl, C1-6 alkyl 5-10 membered heteroaryl, wherein X1 is unsubstituted or substituted with one or more of halogen, linear or branched C1-6 alkyl, linear or branched C1-6 heteroalkyl, CF3, CHF2, —O—CHF2, —O—(CH2)2—OMe, OCF3, C1-6 alkylamino, —CN, —N(H)C(O)—C1-6alkyl, —OC(O)—C1-6alkyl, —OC(O)—C1-4alkylamino, —C(O)O—C1-6alkyl, —COOH, —CHO, —C1-6alkylC(O)OH, —C1-6alkylC(O)O—C1-6alkyl, NH2, C1-6 alkoxy or C1-6 alkylhydroxy; X2 is hydrogen, C6-10 aryl, 5-10 membered heteroaryl, —O-(5-10 membered heteroaryl), 4-8 membered heterocycloalkyl, C1-4 alkyl 4-8 membered heterocycloalkyl, —O-(4-8 membered heterocycloalkyl), —O—C1-4 alkyl-(4-8 membered heterocycloalkyl), —OC(O)—C1-4alkyl-4-8 membered heterocycloalkyl or C6 aryloxy, wherein X2 is unsubstituted or substi

Abstract: Embodiments generally relate to performance testing of software code. In some embodiments, a method includes executing a software program, where the software program includes at least one target portion of code to be performance tested. The method further includes receiving a data stream, where the data stream includes a plurality of events, and where the at least one target portion of code processes the plurality of events based on an event rate. The method further includes monitoring for failures associated with the at least one target portion of code processing the plurality of events. The method further includes modifying the event rate if at least one failure is detected, where the event rate is modified until no failures are detected. The method further includes generating a performance report if no failures are detected during a target success time period.

Abstract: The present invention pertains generally to the field of therapeutic compounds. More specifically the present invention pertains to 5-[[4-[[morpholin-2-yl]methylamino]-5-(trifluoromethyl)-2-pyridyl]amino]pyrazine-2-carbonitrile compounds (referred to herein as “TFM compounds”) which, inter alia, inhibit Checkpoint Kinase 1 (CHK1) kinase function. The present invention also pertains to pharmaceutical compositions comprising such compounds, and the use of such compounds and compositions, both in vitro and in vivo, to inhibit CHK1 kinase function, and in the treatment of diseases and conditions that are mediated by CHK1, that are ameliorated by the inhibition of CHK1 kinase function, etc., including proliferative conditions such as cancer, etc.

Abstract: Embodiments generally relate to performance testing of software code. In some embodiments, a method includes executing a software program, where the software program includes at least one target portion of code to be performance tested. The method further includes receiving a data stream, where the data stream includes a plurality of events, and where the at least one target portion of code processes the plurality of events based on an event rate. The method further includes monitoring for failures associated with the at least one target portion of code processing the plurality of events. The method further includes modifying the event rate if at least one failure is detected, where the event rate is modified until no failures are detected. The method further includes generating a performance report if no failures are detected during a target success time period.

Abstract: A computer-implemented system is provided for automatic training of an artificial intelligence (AI) asset. A preprocessing engine is provided for receiving an AI asset by upload and preprocessing the AI asset for training by: associating a set of definition parameters and training criteria with the AI asset; analyzing the training criteria to set a specification for training steps and process; and determining a quotation for the training having regard to known factors associated with the definition parameters and the training specification. A transaction engine is provided for presenting the quotation, receiving an approval of the quotation and a means of payment. A training engine is provided for training the AI asset according to the specification and releasing the AI asset after training.

Abstract: A method is provided for grading an artificial intelligence (AI) asset. After an AI asset is received for transaction, its performance is evaluated on a specialized task and a baseline of performance is established based on an evaluated state of the AI asset. The AI asset is then graded based on the evaluated performance in a task-environment. A value is ascribed to the AI asset. The AI asset is made available for transaction on an AI asset exchange. A related method is also provided where a second evaluation and grading are performed after the AI asset is trained.

Abstract: A computer-implemented system is provided for exchange of artificial intelligence (AI) assets through an AI asset exchange. The system includes a preprocessing engine programmed for receiving an AI asset by upload and preprocessing the AI asset for transaction by: anonymizing an owner/transactor of the AI asset; associating a set of identification and description parameters with the AI asset; associating a set of transaction terms with the AI asset; and associating a set of use terms with the AI asset. The system also includes a listing engine programmed for listing the preprocessed AI asset according to the identification and description parameters. The system also includes a transaction engine programmed for mediating a transaction of the AI asset according to the transaction terms. A method of preparing an artificial intelligence (AI) asset for transaction is also provided.

Abstract: A method is provided for chat orchestrated visualization. In response to a substantive user communication received in the chat session, the system decomposes the terms of the communication into components. From at least one of the components, an intent of the communication is determined and a search is formulated with the intent which is searched in a plurality of data sources to obtain raw search results which are stored in a cache. Natural language understanding (NLU), natural language generation (NLG) or generative neural nets (GNN) may be used to generate a short text response to the user communication, and related web content is synthesized in text and other forms. The short response is displayed in the chat session while the synthesized web content is injected and displayed in a passive window, such that the chat session and the web content are displayed in different portions of the same screen.

Abstract: A method is provided for generating automated responses to customer questions. Terms of a customer question are received, which are then decomposed into components of the question. An intent is determined from at least one of the components. A query is formulated with the intent. The query is searched in a plurality of data sources to obtain raw search results. These raw search results are compared, and those results proximate to the intent are selected. After redundant and non-informative results are removed, these proximate search results are stored in a cache. The cache is further analyzed/processed to eliminate redundant parts. At least one of natural language understanding (NLU), natural language generation (NLG) or generative neural nets (GNN) is applied to the remaining text in the cache to generate a natural language answer to the customer question.

Abstract: The present invention pertains generally to the field of therapeutic compounds. More specifically the present invention pertains to 5-[[4-[[morpholin-2-yl]methylamino]-5-(trifluoromethyl)-2-pyridyl]amino]pyrazine-2-carbonitrile compounds (referred to herein as “TFM compounds”) which, inter alia, inhibit Checkpoint Kinase 1 (CHK1) kinase function. The present invention also pertains to pharmaceutical compositions comprising such compounds, and the use of such compounds and compositions, both in vitro and in vivo, to inhibit CHK1 kinase function, and in the treatment of diseases and conditions that are mediated by CHK1, that are ameliorated by the inhibition of CHK1 kinase function, etc., including proliferative conditions such as cancer, etc.

Abstract: A method is provided for prioritizing rule creation for computer-assisted customer care. When a question from a user of a device is received by a customer care analytics engine for which no rule is automatically fired, the question and a related device profile of the device are added to an unfired questions list. The analytics engine parses the question to match terms in other questions in the list. The question is also added to an appropriate category in the list based on the device profile. A prioritization algorithm is used to rank the question among other questions within the list or the category, ranking the question more highly according to the frequency of those terms in the category or the list. According to its rank-wise order, the question is directed for creation of a rule to permit automatic handling of questions having the same or similar terms in the future.

Abstract: A method is provided for determining a reference device profile. Device profiles are gathered from a plurality of devices having at least one characteristic in common. Each device profile has a plurality of parameter values. The device profiles are compared according to at least one device health metric. Parameter values associated with an optimum value of the device health metric are identified. Using these identified parameter values, a reference device profile is compiled. A method is also provided for enabling a target device to be conformed with a reference device profile.

Abstract: The present invention pertains generally to the field of therapeutic compounds. More specifically the present invention pertains to 5-[[4-[[morpholin-2-yl]methylamino]-5-(trifluoromethyl)-2-pyridyl]amino]pyrazine-2-carbonitrile compounds (referred to herein as “TFM compounds”) which, inter alia, inhibit Checkpoint Kinase 1 (CHK1) kinase function. The present invention also pertains to pharmaceutical compositions comprising such compounds, and the use of such compounds and compositions, both in vitro and in vivo, to inhibit CHK1 kinase function, and in the treatment of diseases and conditions that are mediated by CHK1, that are ameliorated by the inhibition of CHK1 kinase function, etc., including proliferative conditions such as cancer, etc.

Abstract: Compounds and methods are provided for treating bacterial infections.

Abstract: The present invention pertains generally to the field of therapeutic compounds. More specifically the present invention pertains to certain pyridyl-amino-pyrazine carbonitrile compounds that, inter alia, inhibit Checkpoint Kinase 1 (CHK1) kinase function. The present invention also pertains to pharmaceutical compositions comprising such compounds, and the use of such compounds and compositions, both in vitro and in vivo, to inhibit CHK1 kinase function, and in the treatment of diseases and conditions that are mediated by CHK1, that are ameliorated by the inhibition of CHK1 kinase function, etc., including proliferative conditions such as cancer, etc., optionally in combination with another agent, for example, (a) a DNA topoisomerase I or II inhibitor; (b) a DNA damaging agent; (c) an antimetabolite or thymidylate synthase (TS) inhibitor; (d) a microtubule targeted agent; and (e) ionizing radiation.

Abstract: The present invention pertains generally to the field of therapeutic compounds. More specifically the present invention pertains to 5-[[4-[[morpholin-2-yl]methylamino]-5-(trifluoromethyl)-2-pyridyl]amino]pyrazine-2-carbonitrile compounds (referred to herein as “TFM compounds”) which, inter alia, inhibit Checkpoint Kinase 1 (CHK1) kinase function. The present invention also pertains to pharmaceutical compositions comprising such compounds, and the use of such compounds and compositions, both in vitro and in vivo, to inhibit CHK1 kinase function, and in the treatment of diseases and conditions that are mediated by CHK1, that are ameliorated by the inhibition of CHK1 kinase function, etc., including proliferative conditions such as cancer, etc.

Abstract: The present disclosure relates to a novel combination of compounds, their use as antibacterials, compositions comprising them and methods for treating or preventing bacterial infections, more particularly, bacterial infections caused by Gram-negative pathogens and/or drug resistant Gram-negative bacteria.

Abstract: The present invention provides novel antibodies. In particular, the present invention provides fusion antibodies comprising antibody heavy and light chain fusions. The present invention further provides multivalent antibodies comprising multiple fusion antibody chains. The present invention further provides methods of generating splice resistant antibody genes.

Abstract: A method is provided for creating pattern-problem pairs for proactive diagnosis of device issues. A plurality of problem reports are received from problem devices, each having parameters associated with a device profile. The problem reports are parsed to standardize and normalize terms. The parsed problem reports are analyzed to identify common problems in a set of such problem devices where there is a common set of parameters in a pattern. If the frequency of the problems in the set of devices exceeds a threshold, the parsed problem is associated with the pattern for future proactive diagnosis of a target device having the pattern, even without a problem report from the target device. A method of proactively diagnosing a potential problem on a device using such pattern-problem pairs is also provided.