Lava v0.5: Convolution, QUBO Solver, & New Tutorials
Lava is getting a major update supporting several new Loihi hardware features and the first end-to-end application tutorials. Check out the release notes and clone the public repository to get started. Significant milestones include:
An initial version of the Lava Learning API for CPUs that allows users to evaluate learning rule implementations exactly as they run on Loihi 2, and a tutorial for 2-factor STDP.
An updated Lava Deep Learning (Lava-DL) application tutorial that makes full use of Loihi 2 features such as convolutional network compression and graded spikes.
The first version of a quadratic unconstrained binary optimization (QUBO) solver for optimization problems, and a tutorial on how to tune hyper-parameters to solve real-world problems.
This release period also included two new external Pull Requests from members of the community. Lava is available for free with permissive licensing – including commercial use – making it easy to contribute neuromorphic algorithms and applications that can be widely adopted by the community.
As with the previous release (see Lava v0.4.0 release with Lava extension for Loihi), members of the INRC can setup the Lava extension for Loihi by following these instructions. If you’re not a member, take a look at Join the INRC to get started.