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Host

Sumedh Risbud

Description

INRC researchers demonstrated tremendous potential benefits in energy-efficiency and time to solve NP-Hard optimization problems with Intel neuromorphic architectures. In this session, we will explore how these research concepts have been expanded into a suite of capabilities in Lava-Optimization that can be applied to solve real-world, large-scale problems in logistics, aerospace, and telecommunications.

Schedule

69:45 00 PT / 912:45 00 ET / 1518:45 00 CET
FridayThursday, July 21st20th, 2023

Session plan:

Recording

Not Yet Available

Link to Presentation

Not Yet Available

Constrained Optimization with Lava Understand the value, research progress, and latest capabilities of Lava-Optimization. Sumedh Risbud (Intel)

Constrained Optimization with Loihi 2.mp4

Neuromorphic Optimizers in Telecommunication Networks Ahsan Javed Awan (Ericsson)

Image Added

Explore the Capabilities of Lava Optimization on Loihi 2 Alessandro Pierro and Philipp Stratmann (Deactivated) (Intel)

Lava Optimization Capabilities.mp4