WaveNet: text to speech using a generative deep learning model. Existing text-to-speech systems use parametric generation or a concatenative approach where tiny samples of a recorded voice are strung together to create synthesized speech. Using a deep learning technique WaveNet generates synthetic speech a single sample at a time. Especially interesting: "If we train the network without the text sequence, it still generates speech, but now it has to make up what to say. As you can hear from the samples below, this results in a kind of babbling, where real words are interspersed with made-up word-like sounds" The academic paper.
Nanowire Mesh Monitors Mouse Brains - "Injectable 'neural lace'* brain-computer interface works in mice for months at a time." (via) [more inside]
Watch a Large Scale Deep neural net hallucinate while onlookers supply topics in a chat room. Almost magically, after a few seconds the psychedelic representations of those suggestions begin creeping out of the woodwork into which you infinitely zoom. Jonas Degrave writes about how the thing came to be on his blog. Previously.
The Brain’s Empathy Gap: [New York Times]
Can mapping neural pathways help us make friends with our enemies?
The origins and evolution of human intelligence: parasitic insects? viruses? mushrooms? neural darwinism? foraging? machiavellian competition? emergence? or something else?
Networks are everywhere. Connectionists think of our brains as neural networks. Some people think networks are changing society. Some people would like to use networks to change society. Others think of the earth as a self-organising network.
ESB (Electrical Stimulation of the Brain) can be used to create feelings of intense euphoria and (in some unintentional cases) paranoia. Since we don't know too much about what's inside our skulls, to what extent should we be allowed to control it?
What a Tangled Web We Weave ...