A new bottom-up network built from randomly distributed nanowires can learn, compute, and adapt like a human brain.

A new bottom-up network built from randomly distributed nanowires can learn, compute, and adapt like a human brain.
Princeton scientists demonstrate that two silicon quantum bits can communicate across relatively long distances in a turning point for the technology.
Scientists demonstrate the feasibility of chirality-encoded logic architectures.
Researchers from the University of Massachusetts and Hewlett Packard Labs present a memristor platform for analog computations and forecast a device performance at least 16 times greater than purely digital solutions.
A directed self-assembly of gold nanoparticles may be employed for the design of molecular electronic networks for logic or memory applications.
Zorlutuna and co-workers from the University of Notre Dame demonstrate muscle cells as diode components for biocomputing.
Jeong et al. argue that a change in paradigm away from the CPU+Memory computing approach and towards a materials approach which mimics biological neurons as synapses is needed.
Researchers have achieved the first photo/electro co-modulation of molecular transport junctions based on chemically fabricated nanogaps.
Technology is based on metal di-chalogenides, which are emerging as potential candidates to replace current CMOS materials.
New optical technologies using “metasurfaces” capable of the ultra-efficient control of light are nearing commercialization.