International Business Machines Corporation

Optum Technology, Inc.

Gennova Biopharmaceuticals Limited

Sanjay K Singh

Vedula S Sandeep

Anshuman Sinha

Piyush Gupta

Sachchidanand Singh

Nilesh R Gujarathi

Vikram V Sutar

Arjun Raghuwanshi

Shrawan Singh Kumar

Rashmi Khanna

Magesh Kumar Sivaswamy

Devikiran Ramadas

Manesh Chandran Nambiar

Maheshwari Kumar Mishra

Ankit Kumar

Pritiranjan Bhandari

Mihir Sahoo Ranjan

Sanjay Kumar Verma

Shrawan Kumar Singh

Nidhiben Thaker

Nilabh Sagar

Shagun Shankar

Pavan Kardile

There is a need for more effective and efficient document summarization. This need can be addressed by, for example, techniques for contextual summarization using semantic intelligence. In one example, a method includes identifying a plurality of senses associated with a plurality of words in a document; for each word-sense pair, determining a word-sense probability score; determining, based at least in part on each word-sense probability score for a word-sense pair, one or more context buckets for the document and one or more sense buckets for the document; determining, based at least in part on the one or more context buckets for the document and the one or more sense buckets for the document, the contextual summarization of the document; and performing one or more document processing actions based at least in part on the contextual summarization.

Contextual document summarization with semantic intelligence

An approach for updating one or more serverless runtime configurations based on predicting usage patterns of a serverless computing cluster is disclosed. The approach includes collecting one or more attributes associated with an application on a serverless computing cluster and a user of the application and analyzing the one or more collected attributes. Furthermore, the approach includes predicting one or more usage patterns based the analyzing and updating one or more serverless runtime configurations based on the one or more usage patterns.

Predicting usage pattern of serverless environment via machine learning

There is a need for solutions that perform preprocessing and/or searching of documents with semantic intelligence. This need can be addressed by, for example, by performing pre-processing of each document of a plurality of documents to generate an indexed representation for the document by identifying sentences in the document; determining, for each n-gram of one or more n-grams associated with the document, one or more n-gram semantic scores based semantic proximity indicators for the n-gram; determining, based at least in part on each one or more n-gram semantic scores, one or more sentence semantic labels for each sentence in the document; and determining the indexed representation for the document based at least in part on the one or more sentence semantic labels for the document; performing the search query based each indexed representation associated with a document; and transmitting the result to a computing device associated with the search query.

Document indexing, searching, and ranking with semantic intelligence

Systems, apparatuses, methods, and computer program products are disclosed for searching electronic documents. An example method includes receiving a set of electronic documents, wherein each electronic document in the set of electronic documents comprises a set of sentences. The example method further includes generating a contextual index that associates each sentence with one or more of contexts. The example method further includes receiving an electronic search query comprising a plurality of search terms. Subsequently, the example method includes generating a contextual search ranking for a subset of the set of electronic documents based on the search terms and the contextual index.

Systems and methods for contextual ranking of search results

The present invention relates to a novel process of isolating and purifying tissue plasminogen activator and its variants more specifically TNK-tPA from CHO cells and describes an industrially applicable, simple, cost effective, robust and highly efficient process of TNK-tPA purification.

Purification process for isolation and commercial production of recombinant TNK-tPA tenecteplase

The present invention provides a novel, scalable and industrially viable downstream process for purification of recombinant human G-CSF.

Process for purification of rHu-GCSF

A method for providing cloud-based communication for blood bank collection and management is provided. The method may include detecting and registering a plurality of cloud systems. The method may further include enabling cloud communications for the plurality of cloud systems. Additionally, the method may include receiving at least one blood donation request and blood donation event using the plurality of cloud communications for the plurality of cloud systems. The method may also include recommending and generating lists of blood donors based on the at least one blood donation request and the plurality of cloud systems. The method may further include presenting to users associated with the plurality of cloud systems the at least one blood donation request and blood donation event using the plurality of cloud communications, wherein the users associated with the plurality of cloud systems are based on the plurality of lists of blood donors.

Cloud-based blood bank collaborative communication and recommendation

Pharmaceutical compositions of tenecteplase that are safe and effective in the treatment of acute ischemic stroke compared with the known compositions are disclosed. The compositions of the invention are invented based on a series of testing trials on the different amounts of the TNK and isolating specific amount that is optimally suitable in terms of desired effects of TNK in the treatment of acute ischemic stroke.

Pharmaceutical compositions of tenecteplase

According to one exemplary embodiment, a method for solving combinatorial optimization problems is provided. The method may include receiving a plurality of problem instance parameters associated with a graph. The method may also include determining a dynamic path change indicator exists. The method may then include initializing the graph based on the determining the dynamic path change indicator does not exist. The method may further include inserting a placeholder node and at least one placeholder node edge based on the determining the dynamic path change indicator exists. The method may also include reinitializing the graph with the inserted place holder node and the at least one placeholder node edge. The method may then include initializing the reinitialized graph. The method may further include executing a hybrid algorithm on the initialized graph or on the reinitialized graph, wherein the hybrid algorithm comprises an ant colony optimization algorithm and a genetic algorithm.

Solving vehicle routing problems using evolutionary computing techniques

According to one exemplary embodiment, a method for solving combinatorial optimization problems is provided. The method may include receiving a plurality of problem instance parameters associated with a graph. The method may also include determining a dynamic path change indicator exists. The method may then include initializing the graph based on the determining the dynamic path change indicator does not exist. The method may further include inserting a placeholder node and at least one placeholder node edge based on the determining the dynamic path change indicator exists. The method may also include reinitializing the graphiniti with the inserted place holder node and the at least one placeholder node edge. The method may then include initializing the reinitialized graph. The method may further include executing a hybrid algorithm on the initialized graph or on the reinitialized graph, wherein the hybrid algorithm comprises an ant colony optimization algorithm and a genetic algorithm.

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Bengaluru, India

Sanjay K Singh