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Molecular computer components could represent a new IT revolution and help us create cheaper, faster, smaller, and more powerful computers. Yet researchers struggle to find ways to assemble them more reliably and efficiently.

To help achieve this, scientists from the Institute of Physics of the Czech Academy of Sciences investigated the possibilities of molecular machine self-assembly building upon solutions honed by natural evolution and using synergy with current chip manufacturing.

There is a limit to the miniaturization of current silicon-based computer chips. Molecular electronics, using single-molecule-sized switches and memories, could provide a revolution in the size, speed and capabilities of computers while cutting down on their increasing power consumption, but their mass production is a challenge. Large-scale, low-defect, accessible nanofabrication and assembly of the components remains elusive. Inspiration taken from living nature could change this status quo.

Researchers at Aalto University were looking for better ways to instruct dance choreography in virtual reality. The new WAVE technique they developed will be presented in May at the CHI conference for human-computer interaction research.

Previous techniques have largely relied on pre-rehearsal and simplification.

“In , it is difficult to visualize and communicate how a dancer should move. The is so multi-dimensional, and it is difficult to take in rich data in ,” says Professor Perttu Hämäläinen.

Could a future superintelligence bring back the already dead? This discussion has come up a while back (and see the somewhat related); I’d like to resurrect the topic because … it’s potentially quite important.

Algorithmic resurrection is a possibility if we accept the same computational patternist view of identity that suggests cryonics and uploading will work. I see this as the only consistent view of my observations, but if you don’t buy this argument/belief set then the rest may not be relevant.

The general implementation idea is to run a forward simulation over some portion of earth’s history, constrained to enforce compliance with all recovered historical evidence. The historical evidence would consist mainly of all the scanned brains and the future internet.

Neuromorphic computing is about mimicking the human brain’s structure to deliver more efficient data processing, including faster speeds and higher accuracy, and it’s a hot topic right now. A lot of universities and tech firms are working on it, including scientists at Intel who have built the world’s largest “brain-based” computing system for Sandia National Laboratories in New Mexico.

Intel’s creation, called Hala Point, is only the size of a microwave, but boasts 1.15 billion artificial neurons. That’s a massive step up from the 50 million neuron capacity of its predecessor, Pohoiki Springs, which debuted four years ago. There’s a theme with Intel’s naming in case you were wondering – they’re locations in Hawaii.