Artificial intelligence news has been all the rage lately: What better a way to mark this increased interested than to launch a deep learning conference: in San Francisco.
Artificial intelligence news has been all the rage in tech media lately, from Elon Musk‘s relentless (and somewhat unfounded) fervor against AI, to artificial intelligence experts signing an open letter to protect mankind from smart machines on Sunday. What better a way to mark this increased interested in all things AI than to launch a deep learning conference: in San Francisco.
RE.WORK‘s Deep Learning Summit, taking place from January 29 to 30, will congregate influential data scientists, technologists, world-leading researchers, entrepreneurs, and data engineers. More than 40 experts from institutions including Google, MIT, and Stanford will discuss topics such as neural networks, image recognition, language processing, advanced deep learning algorithms, artificial intelligence (of course), machine learning, big data, and computing systems.
Sessions and topics at the Deep Learning Summit
1. Natural Language Understanding: At the Deep Learning Summit Quoc will discuss how deep learning can be used to understand texts without much prior knowledge and specifically, how algorithms can learn the vector representations of words, and use these vector representations to translate unknown words between languages.
2. Predictive Data for Education: Vivienne Ming, co-Founder and Managing Partner of Socos, will discuss the concept of continuous passive predictive assessment, applied to both learners and professionals, from students to CEOs. Building cognitive models using unstructured data and ubiquitous sensors allows the assessment not only of concept mastery, but meta-learning development as well. Such models can then be used to predict which content will be an effective learning experience for a given learner.
3. Machine Learning and Augmented Reality: Dr. Jürgen Sturm heads the machine learning efforts at Metaio GmbH, the world-leading Augmented Reality technology provider. The goal of Metaio’s machine learning efforts is to create immersive virtual shopping experiences, where customers can directly check out a new products without the need of the real physical item.
4. Human-Computer Interaction: Roberto Pieraccini, Director of Advanced Conversational Technologies at Jibo, is a world recognized expert in the fields of speech recognition, natural language, dialog, and human-machine multi-modal interaction. Roberto will lead a talk on spoken language technology, discussing how computers are learning to understand humans.
5. Facial Recognition & Expression Analysis: Dr. Joshua Susskind and Marian Bartlett co-founded Emotient, a start-up company focused on real-time perception of facial expressions from images and videos. Bartlett and her colleagues developed software that automatically detects facial expressions of the seven primary emotions, as well as individual facial muscle movements.