If we're going to see any developments in alternative architectures and hardware, it's going to happen in the cloud computing space. From my perspective, this is the only sector that is in the unique position to sell specialized computing services to customers on a mass scale and make great margins in the process.
There are many interesting and useful things you can do outside of Von Neumann architectures and Turing Complete systems that were never practical on PCs. Simple services like Reddis could probably be implemented with alternative memory architectures like content-addressable memory. Many useful algorithms in the data analytic and machine learning space can be compiled down the specialized hardware using using a combination of transistors and memristors.
For companies like Amazon, Microsoft + Google, there's actually a financial incentive to harmonize hardware and software much in the same way Seymour Cray harmonized the software and hardware of Cray's supercomputers. These cloud companies don't want to be constrained to selling commodity virtual machines. They want to sell you the next generation PaaS solution like DynamoDB, SQL Azure or Firebase so they can lock you into their cloud platform.
If there's a future where developers are writing code in special DSLs that's compiled to gates on an FPGA, the cloud computing guys will be exploring it because they have a huge incentive to get their customer's into the walled garden that yields better margins. If you can create one platform service that developers love and runs on cheaper specialized hardware, you'll be able to destroy your competitors and signal an alternative hardware arms race.