International Business Machines Corporation

Mahmoud Amin

Lawrence Alfred Clevenger

Zhenxing Bi

Krishna R Tunga

Leigh Anne H Clevenger

Christopher J Penny

Matthias Klein

Anthony Thomas Sofia

Richard Mark Sczepczenski

George Kuch

Simon Weishaupt

Luke M Hopkins

Ying-Yeung Li

Dan Vangor

Myron Wisniewski

Daniel Hughes

Pascal R Bastien

Loma Vaishnav

Margaret Frances Kaelin Dubowsky

Anmar A Al Zubaydi

Timothy John Slegel

Jonathan D Bradbury

Mark S Farrell

Louis P Gomes

Bruce C Giamei

Yang Liu

Timothy J Siegel

Stefania Axo

Mark Christopher Wallen

Bryan Gury

Systems, computer-implemented methods and/or computer program products that facilitate real-time response to defined symptoms are provided. In one embodiment, a computer-implemented method comprises: monitoring, by a system operatively coupled to a processor, a state of an entity; detecting, by the system, defined symptoms of the entity by analyzing the state of the entity; and transmitting, by the system, a signal that causes audio response or a haptic response to be provided to the entity, wherein transmission of the signal that causes the audio response or the haptic response is based on detection of the defined symptoms.

Internet of things (IoT) real-time response to defined symptoms

A method is provided that includes receiving, by a firmware from an originating software, an asynchronous request for an instruction of an algorithm for compression of data. The firmware operates on a first processor and the originating software operates on a second processor. The firmware issues a synchronous request to the first processor to cause the processor to execute the instruction synchronously. It is determined, by the firmware, whether an interrupt is received from the first processor with respect to the first processor executing the instruction. The firmware retries the issuance of the synchronous request each time the interrupt is received until a retry threshold is reached.

Functional completion when retrying a non-interruptible instruction in a bi-modal execution environment

A processor requests that a data transformation operation be performed using another processor, in which the data transformation operation is performed asynchronously. A determination is made that the data transformation operation performed using the other processor has completed unsatisfactorily, and based on the unsatisfactory completion, status relating to performance of the data transformation operation is incomplete. The data transformation operation is then re-executed synchronously using the one processor, and the re-executing provides status information unavailable in performing the data transformation operation asynchronously.

Synchronous re-execution of a data transformation operation to obtain further details regarding an exception

A computer-implemented method, a computer program product, and an incremental learning system are provided for language learning and speech enhancement. The method includes transforming acoustic utterances uttered by an individual into textual representations thereof, by a voice-to-language processor configured to perform speech recognition. The method further includes accelerating speech development in the individual, by an incremental learning system that includes the voice-to-language processor and that processes the acoustic utterances using natural language processing and analytics to determine and incrementally provide new material to the individual for learning. Responsive to the individual being a baby, the voice-to-language processor discretizes baby babbling to consonants, letters, and words.

Language learning and speech enhancement through natural language processing

A computer system interacts with a user with a behavioral state. An activity performed by an entity with a behavioral state is determined. A virtual character corresponding to the entity and performing the determined activity of the entity is generated and displayed. A mental state of the entity responsive to the virtual character is detected. In response to detection of a positive mental state of the entity, one or more natural language terms are provided to the entity corresponding to the activity performed by the virtual character. Embodiments of the present invention further include a method and program product for interacting with a user with a behavioral state in substantially the same manner described above.

Behavior-based interactive educational sessions

Aspects of the invention include receiving an error code describing a computer hardware or firmware error. A list of data items to be collected to assist in correcting the error is received. The contents of the list are selected based at least in part on the error code and are in priority order. The data items in the list are collected and a buffer to store the collected data items is selected. At least a subset of the collected data items to be written is transmitted to the buffer. All of the collected data items are transmitted to the buffer when the buffer is large enough to hold all of the data items in the list. A subset of the collected data items are transmitted to the buffer in priority order when the buffer is not large enough to hold all of the data in the list.

Dynamic logging and prioritization of error incident data

Internet of things (IOT) real-time response to defined symptoms

Aspects of the invention include receiving an error code describing a computer hardware or firmware error. A list of data items to be collected to assist in correcting the error is built. The contents of the list are selected based at least in part on the error code and are in priority order. The data items in the list are collected and a buffer to store the collected data items is selected. At least a subset of the collected data items to be written is transmitted to the buffer. All of the collected data items are transmitted to the buffer when the buffer is large enough to hold all of the data items in the list. A subset of the collected data items are transmitted to the buffer in priority order when the buffer is not large enough to hold all of the data in the list.

A computer-implemented method, a computer program product, and an incremental learning system are provided for language learning and speech enhancement. The method includes transforming acoustic utterances uttered by an individual into textual representations thereof, by a voice-to-language processor configured to perform speech recognition. The method further includes accelerating speech development in the individual, by an incremental learning system that includes the voice-to-language processor and that processes the acoustic utterances using natural language processing and analytics to determine and incrementally provide new material to the individual for learning.

Embodiments of the invention are directed to a computer-implemented method for generating a sleep optimization plan. A non-limiting example of the computer-implemented method includes receiving, by a processor, genetic data for a user. The method also includes receiving, by the processor, Internet of Things (IoT) device data for the user. The method also includes generating, by the processor, a sleep duration measurement for the user based at last in part upon the IoT device data. The method also includes generating, by the processor, a sleep optimization plan for the user based at least in part upon the genetic data.

Optimized individual sleep patterns

Growing community of inventors

Poughkeepsie, NY, United States of America

Mahmoud Amin