Examples of promising, highly scalable algorithms being developed for Loihi include:
- Constraint satisfaction: Constraint satisfaction problems are present everywhere in the real world, from the game of sudoku to airline scheduling, to package delivery planning. They require evaluating a large number of potential solutions to identify the one or few that satisfy specific constraints. Loihi can accelerate such problems by exploring many different solutions in parallel at high speed.
- Searching graphs and patterns: Every day, people search graph-based data structures to find optimal paths and closely matching patterns, for example to obtain driving directions or to recognize faces. Loihi has shown the ability to rapidly identify the shortest paths in graphs and perform approximate image searches.
- Optimization problems: Neuromorphic architectures can be programmed so that their dynamic behavior over time mathematically optimizes specific objectives. This behavior may be applied to solve real-world optimization problems, such as maximizing the bandwidth of a wireless communication channel or allocating a stock portfolio to minimize risk at a target rate of return.
INRC members will access and build applications on Pohoiki Springs via the cloud using Intel's Nx SDK and community-contributed software components.
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