# Summary of #hplusroadmap IRC Log (June 24, 2016)

* Several academic papers on neural networks and deep learning were shared, including "Adaptive neural compilation," "Programming with a differentiable forth interpreter," "One-shot learning with memory-augmented neural networks," "Deep learning without poor local minima," and "Learning hand-eye coordination for robotic grasping with deep learning."

* An article on evolvable hardware was discussed, specifically about Adrian Thompson's work where an evolved FPGA circuit used unexpected physical properties (like magnetic flux) to solve a tone discrimination problem, with five logic cells that appeared disconnected yet were crucial to operation.

* A link to "The recomputation manifesto" was shared, which likely discusses approaches to computational reproducibility in scientific research.

* A blog post about balancing a centrifuge was shared, potentially relevant to DIY biology or laboratory equipment optimization.

* Bitcoin development news was mentioned with a link to information about SegWit (Segregated Witness) implementation steps.

* JPL's C coding standards document was shared, with some discussion about whether it represented the complete standard, as it appeared to be missing sections on fixed vs. floating point operations.