Intel Artificial Intelligence Developer Conference (AIDC) was a two-day conference that took place at the San Francisco Palace of Fine Arts on May 23-24, 2018. Unlike most conferences held by tech companies, this conference was highly technical and low level in which scientist from Intel and her partners showcased their latest developments in Artificial Intelligence. Technical hands on labs gave the opportunity to the participants to implement state of the art machine learning and deep learning methods. A great deal of the talks and labs were centered on using Intel technology such as Intel® Xeon® processors and Cloud Technology for developing machine learning models for training and inference purposes.
It is amazing to see how much emphasize Intel is putting on Artificial Intelligence (AI) as a game changer. Intel is putting tremendous amount of energy and resources is all aspects of AI including hardware, software, developer, and data. In the past two years, Intel created programs like AI Student Ambassador that provides free resources such as computing power, hardware, and travel sponsorship to student developers across the globe. I was lucky enough to be part of this incredible program and had the opportunity to brainstorm with student developers from countries such as India, Nepal, Poland, England, United States, Israel, Egypt, Kenya, and South Africa.
Here I list some of my takeaways from Intel AIDC.
NLP Architect: NLP Architect by Intel AI Lab is a Python* library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding
Neural Network Distiller: A Python package for neural network compression research.
Reinforcement Learning Coach: Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Andrew Ng, Stanford Professor who founded Coursera, delivered the closing keynote speech. There were a lot of excitements in the crowd since most of the people took his online machine-learning course. He gave some a introduction about AI and talked about some of the trends in AI. One aspect of his talk that grabbed my attention was the roadmap that he put forward for the future of AI. In particular he listed the followings as the roadmap that could help developers in creating the next generation of AI products.
Group photo of Intel student ambassadors with Intel program manager, Niven Singh.
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