Aligned with Strata San Jose 2018! Location: San Jose Convention Center, LL21 B 150 W San Carlos St. San Jose, CA 95113 Talk 0: Meetup Updates and Announcements (by Chris Fregly, Founder & Engineer @ PipelineAI) * We hit 11,000 members!!! Talk 1: Deploying Serverless TensorFlow AI Models and Functions on a Kubernetes Cluster using PipelineAI and OpenFaaS by Chris Fregly, Founder & Engineer @ PipelineAI Abstract: Through a series of live demos, Chris will create and deploy a model ensemble using the PipelineAI Platform with GPUs, TensorFlow, and Scikit-Learn. Talk 2: Alpha Go Zero/AlphaZero with TensorFlow, Probabilistic Methods, and Neural Network Techniques by Brett Koonce, CTO @ Quarkworks Abstract: In this talk, I will discuss how Google built Alpha Go Zero/AlphaZero to master the game of Go by combining probabilistic methods, neural network techniques and Tensorflow. * Talk 3: Human in the Loop: Bayesian Rules Enabling Explainable AI by Pramit Choudhary, Lead Data Scientist @ Abstract: The adoption of machine Llearning to solve real-world problems has increased exponentially, but users still struggle to derive full potential of the predictive models. It is no longer sufficient to evaluate a model’s accurate prediction just on a validation set based on error metrics. However, there is still a dichotomy between explainability and model performance when choosing an algorithm. Linear models and simple decision trees are often preferred over more complex models such as ensembles or deep learning models for ease of interpretation, but this often results in loss in accuracy. [More]
According to Geordie Rose, the demons have cosmic indifference but are not evil. He is aware of what is being summoned, but he still does it. Obviously, he has no idea that he, too, is evil. It’s unsettling that he refers to the quantum computers as if they’re altars to alien gods. Geordie Rose is a founder and CTO of D-Wave. He is known as a leading advocate for quantum computing and physics-based processor design, and has been invited to speak on these topics in venues ranging from the 2003 TED Conference to Supercomputing 2008.His innovative and ambitious approach to building quantum computing technology has received coverage in MIT Technology Review magazine, The Economist, New Scientist, Scientific American and Science magazines, and one of his business strategies was profiled in a Harvard Business School case study. He has received several awards and accolades for his work with D-Wave, including being short-listed for a 2005 World Technology Award.Dr. Rose holds a PhD in theoretical physics from the University of British Columbia, specializing in quantum effects in materials. While at McMaster University, he graduated first in his class with a BEng in Engineering Physics, specializing in semiconductor engineering. #QuantumComputing #CERN #DemonPlague *They have opened the gates!
You’ve no doubt heard quite a bit about Artificial Intelligence (AI) and Machine Learning (AL) over the past few years. The promise of AI / ML and the impacts they will have on our Software Testing industry are enticing. What’s particularly exciting is how AI technology will enhance, not replace, the roles of QA professionals. AI technology can lessen the burden on QA organizations by automating many tedious test tasks and allow QA professionals to focus on what is most important – ensuring the quality and usability of their companies’ products. Join tapQA, a national thought leader in Quality, and our guest Kevin Surace, CTO of and renowned AI expert, for a look at Building The AI-Enabled QA Strategy. We discuss how a balanced approach utilizing the speed and coverage of AI technology and the domain expertise and empathetic approach of human testers will lead to the ultimate success of a QA organization. Our focus is on: • Overview of AI + ML, and their impacts on QA / Testing • How AI won’t replace Human Testers – keep Humans focus on “human-centric things” • Creating the perfect blend of AI speed and human creativity to maximize the value of a QA organization • A demonstration of’s AIQ platform and how it can lessen the burden on QA organizations