Initiatives & Trends

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Initiatives & Trends

In the mid-1940s, a few brilliant people drew up the basic blueprints of the computer age. They conceived a general-purpose machine based on a processing unit made up of specialized subunits and registers, which operated on stored instructions and data. Later inventions—transistors, integrated circuits, solid-state memory—would supercharge this concept into the greatest tool ever created by humankind. So here we are, with machines that can churn through tens of quadrillions of operations per second. We have voice-recognition enabled assistants in our phones and homes.

The Amazon Lex service is now generally available, announced at the Amazon Web Services (AWS) 2017 San Francisco Summit. Amazon Lex is a fully managed AI service that enables developers to build conversational interfaces into any application using voice and text. It is powered by the same deep learning technologies used in Amazon Alexa.

For our June 2017 issue, we cover recent patents dealing with audio coding.

In patent no 9,852,740 a high quality speech is reproduced with a small data amount in speech coding and decoding for performing compression coding and decoding of a speech signal to a digital signal.

Researchers from UC Berkeley have developed a deep learning model that can automatically transfer your font style. The model is named multi-content generative adversarial network (MC-GAN). 

For our March 2018 issue, we cover recent patents granted in the area of image segmentation
In patent no 9,886,647 systems, devices, and methods are presented for segmenting an image of a video stream with a client device by accessing a set of images within a video stream, identifying an object of interest within one or more images of the set of images, and detecting a region of interest within the one or more images. 

Researchers from Google, Verily Life Sciences, and Stanford School of Medicine have developed an algorithm to predict cardiovascular risk factors from retinal fundus photographs. Their model was trained from 48,101 patients from the UK Biobank and 236,234 patients from EyePACS using deep learning, and validated on 12,026 patients from the UK Biobank and 999 patients from EyePACS.

For our February 2018 issue, we cover recent patents granted in the area of image and video compression.
In patent no. 9,866,835 devices and methods for obtaining borehole images at a surface installation while a borehole-imaging downhole tool is logging a borehole are provided. One such method may involve, while the downhole tool is disposed in the borehole, obtaining a first borehole image at a first depth of investigation using the borehole-imaging downhole tool. 

For our January 2018 issue, we cover recent patents granted in the area of applications of medical MR or CT data segmentation.

The invention no. 9,659,370 relates to a method for segmenting MR Dixon image data. A processor and a computer program product are also disclosed for use in connection with the method. The invention finds application in the MR imaging field in general and more specifically may be used in the generation of an attenuation map to correct for attenuation by cortical bone during the reconstruction of PET images.

Researchers from Facebook AI Research have won the Best Paper Award (Marr Prize) at the 16th International Conference on Computer vision (ICCV) 2017, held in Venice, Italy. The work, named "Mask R-CNN", addresses the problem of instance segmentation, which combines tasks of object detection and semantic segmentation. Below is the presentation given by the first author Kaiming He at the conference.

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