November 30, 2018 3 min

Element AI Leverages Presence at Neural Information Processing Systems (NeurIPS) Conference in Montreal—Making an Impact with the Global AI Community

Highly visible throughout NeurIPS, Element AI will support workshops, present high-calibre research papers, and sponsor key discussions on AI diversity and socially responsible 'AI for Good' programs

MONTREAL, November 30, 2018Element AI, a global company that delivers cutting-edge AI software products that make businesses safer, stronger, and more agile, today announced its participation at the Neural Information Processing Systems (NeurIPS) conference in Montréal, December 2–8. At 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, the underlying technology for AI-driven products designed to automate and augment decision-making.

"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.

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.

Element AI is committed to harnessing this technology as a force for good. The company will present a panel session on AI & Human Rights on December 2nd with guests Ed Santow, Australian Human Rights Commissioner, and Eimear Farrell, Advocate and Adviser for Technology and Human Rights, Amnesty International. The company will participate 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.

Element AI will be 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

About Element AI

Element AI delivers AI software products that augment decisions to make businesses safer, stronger, and more agile. Element AI is headquartered in Canada with offices in Montreal, Toronto, London, Singapore, and Seoul and is funded by leading investors including BDC Capital, Data Collective, Fidelity Investments Canada, Hanwha Investment, Intel Capital, Microsoft Ventures, National Bank, NVIDIA GPU Ventures, Real Ventures, and Tencent.

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