Volume 3 Issue 6, June 2020

The adoption of autonomous vehicles will depend on the public’s trust in the technology. To establish such trust, it is important to understand the actions of different road users, and their reactions to the vehicles.

Modern cars have an array of sensors that allow different objects to be recognized, including large and small animals. They thus have the potential to become a tool for monitoring biodiversity and improving driver safety. But to achieve this various challenges in computing, communications and privacy need to be addressed.

A fibre with liquid-metal core and soft outer shell can be woven into textiles and used to sense multiple compression and stretching events simultaneously.

Electro-optic transmitters with high bandwidth can be created by monolithically integrating bipolar CMOS electronics with plasmonics.

A magnetoresistance effect that occurs in a platinum layer deposited on a magnon junction consisting of two insulating magnetic yttrium iron garnet layers separated by an antiferromagnetic nickel oxide spacer layer could be used to create spintronic and magnonic devices that are free from Joule heating.

A favourable scaling law for the magnetic state readout of CoFe/Pt nanostructure devices allows large spin Hall signals of 0.3 Ω at room temperature to be obtained, which could be useful in the development of spin-logic devices.

A microstructured liquid metal fibre can be used as a soft transmission line probe for reflectometry, allowing electronic textiles to be created that can decipher convoluted mechanical stimulation.

A complete in-memory hyperdimensional computing system, which uses 760,000 phase-change memory devices, can efficiently perform machine learning related tasks including language classification, news classification and hand gesture recognition from electromyography signals.

The monolithic integration of electronic and plasmonic technologies can be used to create electro-optic transmitters capable of symbol rates beyond 100 GBd.