Element AI sponsors 32nd annual NeurIPS conference in Montreal
Element AI Element AI
November 30 3 min

Element AI sponsors 32nd annual NeurIPS conference in Montreal

Element AI is pleased to be a sponsor of this year’s annual NeurIPS conference, and to support the brilliant researchers whose research will be displayed throughout the conference. Those unfamiliar with the event can expect workshops, high-calibre research papers, and key discussions on AI diversity and socially responsible ‘AI for Good’ programs led by Element AI.

December 2 - 8, 2018: This year’s 32nd edition of the Neural Information Processing Systems conference, A.K.A NeurIPS, is coming to Element AI’s hometown of Montreal. As a sponsor of the largest annual AI and deep learning conference, Element AI will welcome local and visiting AI research scientists to share the latest scientific theories and breakthroughs in deep learning, as well as the underlying technology for AI-driven products designed to automate and augment decision-making.

Starting December 2nd, the conference will feature brilliant minds from across the globe, “Since we launched Element AI in 2016, we have focused on high-calibre fundamental research and exploration of what data and computing power can achieve,” said Element AI CEO JF Gagné. “Working closely with Yoshua Bengio, PhD, Nicolas Chapados, PhD, and Philippe Beaudoin, PhD, we have proven that deep learning and AI innovations are helping bridge the gap between theory and making an impact by solving real-world problems. We welcome all attendees to NeurIPS next week, and invite them to visit us and learn more about our company located here in one of the key hubs of AI development in Canada,” added Gagné.

Research Is At The Base of Everything We Do

Dedicated to expanding fundamental research through an open and collaborative approach, Element AI employs over 100 PhDs working with a broad and diverse international network of academic fellows and research institutions. The investment in these global research efforts has resulted in five papers; three published directly by Element AI research scientists and two in collaboration with research fellows and associates. The three featured AI papers presented at NeurIPS include:

1. Improving Explorability in Variational Inference with Annealed Variational Objectives. Huang, C.-W., Tan, S., Lacoste, A., and Courville, A.

2. TADAM: Task dependent adaptive metric for improved few-shot learning. Oreshkin, B.N., Rodriguez, P., and Lacoste, A.

3. Bayesian Model-Agnostic Meta-Learning. Kim, T., Yoon, J., Dia, O., Kim, S., Bengio, Y., and Ahn, S.

Commitment to AI for Good

Element AI is committed to harnessing AI technology as a force for good. Furthermore, on December 2nd, Element AI will present a panel session on AI & Human Rights with guests Ed Santow, Australian Human Rights Commissioner, and Eimear Farrell, Advocate and Adviser for Technology and Human Rights, Amnesty International. In addition, we will be participating at the AI for Social Good workshop, presenting research submitted by the Element AI ‘AI for Good’ lab in London, led by Julien Cornebise.

As with algorithms, without equal and diverse representation, biases can be created. In solidarity with the many diversity initiatives at NeurIPS, Element AI is proud to support the Black in AI and Women in Machine Learning gatherings.

Join the Element AI team in room 220AB, booth #217 at the Palais des Congrès during NeurIPS. All participants are invited to visit the stand and meet all Element AI employees, scientists, and the recruitment team.