Lynx is a highly configurable text-based web browser for use on cursor-addressable character cell terminals. As of 2017[update], it is the oldest web browser currently in general use and development, having started in 1992.
Wild Wastes - Kindle edition by Randi Darren. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Wild Wastes.
Ugh. Beyond the absolutely atrocious editing, or lack thereof, the book features a ridiculous series of world change triggers, an increasingly bizarre hand-waves for making the protagonist increasingly OP, and an ever-increasing set of females demanding to have sex with him.
The main character is written as a real person in an apocalypse, and will not make choices that line up with society and cultural norms.
Yeah, he basically abandons his norms for those of another race, but he doesn't feel like a real person at all.
Achilles is the name of Captain Phoebus' horse in The Hunchback of Notre Dame. He appears in both the original film and the sequel, being much snarkier in the sequel and answering rhetorical counting questions Phoebus poses by tapping his hoof.
His name was purely based around one joke- the "Achilles, heel!" line in the original movie. He quite nearly ended up nameless, but due to that one play on words, he received his name.
1 x Indivision 1200 AGA MK2cr (ADAIND2CR) = £133.46
1 x Kickstart 3.1 ROM chips (A1200) (AMIROM001) = £14.50
1 x ACA 1233n 40MHz with 128MB (A1233N40) = £208.61
ACATune Utility None
1 x 4GB CF IDE HARD DISK DRIVE (HDDIDECF4) = £19.96
Extra Apps On Hard Drive None
For Use With Amiga 1200
IDE Cable Length 3 CM
Do you train spiking nets (how would you even train them?) or create an architecture to see what it does?
Yes, the usual method is to use STDP — Spike Timing Dependent Plasticity. The idea is that if one spike tends to come shortly after another one, the strength of the connection between the two is increased, but if they go the other way then the strength is decreased. It works pretty well, and is a decent way of describing how short-term memory works in biological neural networks too.
There's a separate level of plasticity that is a better description of long-term memory, and that's where the structure of the network itself is modified; it corresponds to the creation of new synapses and the pruning of old ones. There's a (very smart indeed) student at work doing his PhD on making that work in a form that is simulatable at speed.