- Start Date:
June 21, 2019
- Event Start Time:
2:00 PM
- Event End Time:
3:00 PM
- Organizers:
Lazaros Gallos
- Seminar Series:
REU Seminar
- Presenter(s):
Sid Dalal - Columbia University
- Event Location:
DIMACS Seminar room
- Abstract:
Inspired by new advances in Deep Learning, a new field is emerging called Deep Analytics that focuses on analysis of large unconventional data collected from pictures, videos, written documents, mobile apps, sensors and IoT (Internet of Things). The information sources with these kinds of data are exploding. For example, amount of video traffic on Internet alone is going to become 82% of total traffic by 2020 according to Cisco. Given these vast amount of this new data, it is critical for data scientists to be involved in developing techniques for analysis of such data. I will describe a number of advances and challenges in this field with applications to Computer Vision, NLP (Natural Language Processing) and sensors in context of a number of applications. The applications include drug safety, worker safety, automated damage detection and prevention.