International Business Machines Corporation

Satya Sreenivas

Jeb R Linton

Sanjay Nadhavajhala

Naeem Altaf

Jonathan Samn

Bradley E Harris

Minsik Lee

Ron Williams

Poojitha Bikki

Naeem Atlaf

Darrel Haswell

John Walter Morris

Methods and systems for artificially intelligent security incident and event management using an attention-based deep neural network and transfer learning are disclosed. A method includes: collecting, by a computing device, system and network activity events in bulk; forming, by the computing device, a corpus using the collected system and network activity events; correlating, by the computing device, discrete events of the system and network activity events into offenses; adding, by the computing device, additional features to the corpus representing the offenses and disposition decisions regarding the offenses; training, by the computing device, a deep neural network using the corpus; and tuning, by the computing device, the deep neural network for a monitored computing environment using transfer learning.

Artificially intelligent security incident and event management

Managing anonymous network connections. In one aspect managing anonymous network connections by providing anonymous authentication credentials to a plurality of devices in a hierarchical network, registering a first set of devices at a first data aggregator, determining that the first set of devices at the first aggregator numbers less than a first threshold value, registering the first set of devices with a second aggregator upstream in the hierarchy from the first aggregator, causing data from the first set of devices to be received at the second aggregator.

Managing anonymous network connections

Isolating and amplifying a conversation between selected participants is provided. A plurality of spectral masks is received. Each spectral mask in the plurality corresponds to a respective participant in a selected group of participants included in a conversation. A composite spectral mask is generated by additive superposition of the plurality of spectral masks. The composite spectral mask is applied to sound captured by a microphone to filter out sounds that do not match the composite spectral mask and amplifying remaining sounds that match the composite spectral mask.

Participant-tuned filtering using deep neural network dynamic spectral masking for conversation isolation and security in noisy environments

A computer-implemented method for the automatic generation of photorealistic 3D avatars. The method includes generating, using machine learning network, a plurality of 2D photorealistic facial images; generating, using a model agnostic meta-learner, a plurality of 2D photorealistic facial expression images based on the plurality of 2D photorealistic facial images; and generating a plurality of 3D photorealistic avatars based on the plurality of 2D photorealistic facial expression images.

Creation of photorealistic 3D avatars using deep neural networks

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Los Alamos, NM, United States of America

Satya Sreenivas