Developer+ SeriesTM

We are proudly launching the Developer + Series, 
a tour de force into advanced learning into the heart 
of Computer Science to further develop Software Engineers to new levels of greatness. The series consists of six modules every year. Each module 
will be lead by faculty from the top universities and distinguished industry leaders. 

All the modules will focus on delivering advanced materials to equip developers to lead their organizations successfully through Digital Transformation.

Most incumbent organizations have tremendous opportunity to drive greater operating efficiency, improved customer outcomes, and long-term competitive advantage through the use of data-driven artificial intelligence and machine learning in their core products and services. Many organizations are facing challenges with the ability to demonstrate value from their AI/ML initiatives. Typically, this is not a result of lack of vision, potential use cases, or even prototypes; instead, it usually arises from the inability to consistently deploy and maintain at-scale solutions in mission-critical production environments.

The goal of this module is to provide the architecture and design of the digital brain for every organization to bring awareness, consciousness and advanced intelligence necessary to lead in the Digital age.

Wednesday, May 25, 2022

ZOOM Event

Module 1: Advances in Data & Computer Science

Cerebro: A Layered Data Platform for Scalable Deep Learning

Deep learning (DL) is gaining popularity across many domains thanks to tools such as PyTorch and TensorFlow, as well as easier access to GPUs. But building large-scale DL applications is still too resource-intensive and painful for all but the big tech firms. A key reason for this pain is the expensive model selection process needed to get DL to work well. This process requires exploring alternative representations of signals from various data modalities (e.g., sensor time series or satellite imagery), neural architecture tuning (e.g., physics-inspired architectures), and hyperparameter tuning (knobs to control underfitting vs overfitting). Existing DL systems treat this process as an afterthought, leading to massive resource wastage and a usability mess.

Featured Speakers

Dr. Arun Kumar, Ph.D.

Associate Professor, Computer Science and Engineering and Halicioglu Data Science Institute; HDSI Faculty Fellow, University of California, San Diego

Professor Dr. Nadir Weibel, Ph.D.

Associate Professor of Computer Science and Engineering, University of California, San Diego

David Van Couvering

Sr. Principal Architect, eBay


Wednesday, May 25th – 1:50 PM ET to 5:30 PM Eastern 10:50 AM PT – 2:30 PM Pacific

1:55 PM ET (10:55 AM PT)
Welcome & Introduction
Basheer Janjua, Founder, Chairman & President, Guide-Rails®.io

2:00 PM ET (11:00 AM PT)
LECTURE: Cerebro – A Layered Data Platform for Scalable Deep Learning
Professor Dr. Arun Kumar, Ph.D.

3:00 PM ET (12:00 PM PT) Break

3:15 PM ET (12:15 PM PT)
LECTURE: Human-Centered Design for Successful Agile Software Development
Professor Dr. Nadir Weibel, Ph.D.

4:15 PM ET (1:15 PM PT) Break

4:30 PM ET (1:30 PM PT)

5:30 PM ET (2:30 PM PT)

Always Free

Save the Date