Harish Bhaskaran

Researchers have created atomically thin artificial neurons capable of processing both light and electric signals for computing. The material enables the simultaneous existence of separate

These 2D artificial neurons could solve complex machine learning problems and advance AI computing.

Researchers from Oxford University's Department of Materials have developed a technique to precisely manipulate and place nanowires with sub-micron accuracy. This discovery could accelerate the

New research uses multiple polarisation channels to carry out parallel processing – enhancing computing density by several orders over conventional electronic chips.

New research takes energy efficient windows a step further by proposing a new "smart window" design that would harvest the sun's energy in the winter to warm the house and reflect it in the summer to keep it cool.

New research uses multiple polarization channels to carry out parallel processing -- enhancing computing density by several orders over conventional electronic chips.

Phase-change nanowires could serve as the ultimate tunable frequency synthesizers and filters for the future of IoT and 5G networks.

Oxford University scientists, in collaboration with researchers from Germany and the UK, have developed a groundbreaking photonic AI chip that uses light to process 3D data with unparalleled speed and efficiency.

Phase-change nanowires could serve as the ultimate tunable frequency synthesizers and filters for the future of IoT and 5G networks.