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NEURDON
''Smart'' phones, finally... the Adapteva chip »

Massimiliano Versace

Epiphany, the Adapteva multicore processor, has been designed with the primary goal of accelerating applications in low-power devices such as smartphones and tablets, but also servers (in particular, to reduce monstrous power demands of large servers)...

  Power
Workload-aware low-power supply voltage controller »

Saurabh Sinha, Jounghyuk Suh, Bertan Bakkaloglu, and Yu Cao

Power dissipation is reduced by predicting future workload values and pre-emptively regulating supply voltage.
 
  Vision
On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex »

Carlos Zamarreño-Ramos, Luis A. Camuñas-Mesa, Jose A. Pérez-Carrasco, Timothée Masquelier, Teresa Serrano-Gotarredona, and Bernabé Linares-Barranco

In this paper we are linking one type of memristor nanotechnology devices to the biological synaptic update rule known as spike-time-dependent-plasticity (STDP) found in real biological synapses. This allows neuromorphic engineers to develop circuit architectures that use this type of memristors to artificially emulate parts of the visual cortex.

Adaptive, brain-like systems give robots complex behaviors »

Gennady Livitz, Massimiliano Versace, Anatoli Gorchetchnikov, Heather Ames, Jasmin Léveillé, Ben Chandler, Ennio Mingolla, and Zlatko Vasilkoski

Converging advances in memory, parallel computers, and neural network models will soon allow for systems that can support complicated activities in virtual and robotic agents.
 
Adaptive sound localization with a silicon cochlea pair »

Vincent Yue-Sek Chan, Craig T. Jin, and André van Schaik

A neuromorphic sound localization system is presented, based on the extraction of interaural time difference from a far-field source and employing two microphones and a pair of silicon cochleae with address event interface for front-end processing.


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