International Business Machines Corporation

Matthew Harrison Tong

Su Liu

Inseok Hwang

Jinho Lee

Joseph W Ligman

Venkat K Balagurusamy

Sahil Dureja

Donna N Dillenberger

Prabhakar Nandavar Kudva

Vince Siu

Donna N Eng Dillenberger

Ashwin Dhinesh Kumar

A method, a computer program product, and a computer system for classifying bacteria. The method comprises extracting a morphology signature corresponding to one or more bacteria and extracting a motility signature corresponding to the one or more bacteria. The method further comprises merging the morphology signature and the motility signature into a merged vector signature and classifying the one or more bacteria based on the merged vector signature.

Bacteria classification

A set of partial words is received. At least one partial word in the set of partial words is completed. The set of partial words with the at least one completed partial word is run through a trained deep neural network, the trained deep neural network inferring a word embedding associated with an unfinished word in the set of partial words. An inferred word is determined based on the inferred word embedding associated with the unfinished word. A sentence may be output, which includes at least the completed partial word and the inferred word.

Automatic sentence inferencing network

Methods, systems and computer program products for operating a secure speech recognition are provided. Aspects include receiving a speech recognition request from a user, the speech recognition request including a captured audio file and filtering the captured audio file to create an in-band audio file and at least one out-of-band audio file. Aspects also include creating an in-band text file based on the in-band audio file and creating an out-of-band text file based on the out-of-band audio file. Aspects further include calculating an attack risk based at least in part on the in-band text file and the out-of-band text file. Based on a determination that the attack risk is below a threshold value, aspects include executing the speech recognition request.

Secure speech recognition

A movement notification is received from a display. The movement notification corresponds to a movement. A set of movement frames that reflect the movement is rendered by a graphical processing unit. The set of movement frames is transmitted to the display. A notification that the movement has ceased is received from the display. A stop command is transmitted to the display. The stop command instructs the display to not display the first subset of frames in the set of movement frames. The first subset of frames reflects the end of the movement.

Mitigating latency-based display delays

A gemstone detection method is provided and includes using a camera to generate a set of training pictures illustrating three-dimensional features of a gemstone cut with a pattern. Each training picture in the set of training pictures includes facets of and inclusions within the gemstone visible along a point-of-view (POV) through the gemstone. The gemstone detection method further includes generating a trained neural network by training an untrained neural network using the set of training pictures and a set of training sketches of edges of the facets of the gemstone generated from the set of training pictures and using the trained neural network to iteratively generate machine-generated drawings from the set of training pictures. Each of the machine-generated drawings identifies edges of the facets of the gemstone. In addition, the gemstone detection method includes combining the set of machine-generated drawings into a three-dimensional model.

Growing community of inventors

Austin, TX, United States of America

Matthew Harrison Tong