>>37
SIM (Substrate Independent Minds) or just "mind uploads" are expected to come in some 15-40 years - currently the technology is good enough for scanning, but preservation technology is still untested and scanning of something like a human brain would take years and a lot of money (not streamlined), and current hardware is too slow (but stuff like HP/DARPA SyNAPSE are likely to increase the speed by many orders of magnitude and make it a practical hardware platform for running biological neural nets).
OpenCog has a roadmap that should deliver results in 10-20 years and their progress has been good and visible (although still a long way to go).
The advantage to OpenCog is basically their architecture and computational cost - they are much better for self-improvement and knowledge-sharing (the damn thing has "telepathy" built-in, you can just merge AGIs' knowledge - imagine reading a book then being able to transfer the knowledge you gained to anyone) and much less costly computationally, however obviously the challenge is much more difficult than just running a human brain (leaving aside the hard challenge of properly converting scanned brain data to abstracted neural nets and also that of getting the chemical content properly marked and identified (just getting synapses+neuron bodies won't give you a complete picture, might not even be functional)).
Obviously human brains are fairly opaque and even if you understand the inner processes, they're still neural networks which make self-improvement fairly hard compared to more high-level approaches.
I think both will be reached, but I also think it's uncertain which will be reached first.