State of AI and ML - January 2020 Brochure
Recording resourses
Prasad Saripalli - AI-Enabled Marketplaces for Wellness, Beauty & Fitness: Discovery
Ted Selker - Using AI to create considerate systems
Panel Discussion 2 - moderated Ted Selker - AI tools for creation and debugging
Corinne David - System Filters Out Harassment from Incoming Social Media Data
Yifang Liu - AutoML by-and-for Reinforcement Learning
Mengyue Liang - Using ML/AI to Accelerate Sales Engagement Innovation
Ken Urquhart - How to talk successfully with business executives about AI/ML
Leo Janze - 4 Essential Elements of a Winning AI Startup
Janet George - Autonomous Enterprise
Humayun Irshad - Training Deep Facial Identity System with Synthetic Data
Magdalini Eirinaki - Recommendations in the age of social networking
Gajendra Singh - First DigAn™ AI processor chip: lowest power On-Device AI solution
Arun Rajasekaran - Edge Empowerment
Steven Woo - Breaking Down the AI Memory Wall
Ellie Burns - Designing Low Power Edge ML Hardware Using High-Level Synthesis
David Wei - What deep learning can learn from the classical Volterra-Wiener theories of nonlinear systems
Chris Ciccolella - The state of ML in the study of cells and development of therapeutics
Sujata Tibrewala and Louie Tsai - Accelerate DL and ML workloads through Intel oneAPI on CPU or GPU
Ajay Baranwal - Five deep learning recipes for the mask-making industry
12-1. Michael Ariaga - Improving Product Manufacturing and Design Efficiency with a Machine Learning Model without Extra Cost
12-2. Herman Pandana - Improving Product Manufacturing and Design Efficiency with a Machine Learning Model without Extra Cost
Andra Keay - The State of Robotics
