Initiatives & Trends

You are here

Inside Signal Processing Newsletter Home Page

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

10 years of news and resources for members of the IEEE Signal Processing Society

Initiatives & Trends

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.

Spy satellites and their commercial cousins orbit Earth like a swarm of space paparazzi, capturing tens of terabytes of images every day. The deluge of satellite imagery leaves U.S. intelligence agencies with the world’s biggest case of FOMO—“fear of missing out”—because human analysts can sift through only so many images to spot a new nuclear enrichment facility or missiles being trucked to different locations.

For our December 2017 issue, we cover recent patents granted in the area of applications of active contours.

Georgia Tech professor David Citrin is revealing the secrets of 17th century artists thanks to 21st century signal processing. Using modern high-speed scanners and the advanced signal processing techniques, researchers at the Georgia Institute of Technology are peering through layers of pigment to see how painters prepared their canvasses, applied undercoats, and built up layer upon layer of paint to produce their masterpieces.
 

How can we use modern signal processing and artificial intelligence to enhance medical devices such as hearing aids? A new startup called Mythic in a Redwood City, California, is trying to revive analog computing for artificial intelligence.

Boston Dynamics, a leading developer of advanced dynamic robots, recently released a video showing that their humanoid robot Atlas can do backflips now.

Alterations in brain development during infancy may precede the behavioral manifestation of developmental disorders. Infants at increased risk for autism are also at increased risk for other developmental disorders, including, quite commonly, language disorders. In this paper, the authors assess the extent to which electroencephalographic (EEG) signal differences in infants at high versus low familial risk for autism are present by 3 months of age, and elucidate the functional significance of EEG power at 3 months in predicting later development.

Pages

SPS on Twitter

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar