Most people wouldn’t give Geobacter sulfurreducens a second look. The bacteria was first discovered in a ditch in rural Oklahoma. But the lowly microbe has a superpower. It grows protein nanotubes ...

Artificial neurons modeled on biology learn independently, self-organizing and adapting based on information from their local network environment. (Nanowerk News) Novel artificial neurons learn ...

The bacteria Geobacter sulfurreducens came from humble beginnings; it was first isolated from dirt in a ditch in Norman, Oklahoma. But now, the surprisingly remarkable microbes are the key to the ...

Modern artificial intelligence systems, from robotic surgery to high-frequency trading, rely on processing streams of raw data in real time. Extracting important features quickly is critical, but ...

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

An integrated spiking artificial neuron, with rich neuron functionality, single-transistor footprints, and low energy consumption for neuromorphic computing systems, can be created by stacking one ...

The future of AI points toward systems that are more general, adaptive, and integrated. Artificial General Intelligence, or AGI, refers to AI that can perform a wide range of intellectual tasks at ...

Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers from the Göttingen Campus Institute for Dynamics of Biological ...

Living neurons receive signals from different sources, process them and pass an output signal on to other neurons (left). In the artificial neuron model, this information processing can be described ...