A research team from the University of Massachusetts Amherst has created an electronic microsystem that can intelligently respond to information inputs without any external energy input, much like a self-autonomous living ...
Researchers from Zurich have developed a compact, energy-efficient device made from artificial neurons that is capable of decoding brainwaves. The chip uses data recorded from the brainwaves of epilepsy patients to identify ...
Classic computers use binary values (0/1) to perform. By contrast, our brain cells can use more values to operate, making them more energy-efficient than computers. This is why scientists are interested in neuromorphic (brain-like) ...
Researchers at the University of California, Riverside, have used a nanoscale synthetic antiferromagnet to control the interaction between magnons鈥攔esearch that could lead to faster and more energy-efficient computers.
Since the beginning of civilization, humans have exploited new materials to improve their lives, from the prehistoric Stone Age, Bronze Age, and Iron Age to the modern Silicon Age. With each period came technological breakthroughs ...
Encoding information into light, and transmitting it through optical fibers lies at the core of optical communications. With an incredibly low loss of 0.2 dB/km, optical fibers made from silica have laid the foundations of ...
Multifunctional and diverse artificial neural systems can incorporate multimodal plasticity, memory and supervised learning functions to assist neuromorphic computation. In a new report, Jinran Yu and a research team in nanoenergy, ...
A new path toward sending and receiving information with single photons of light has been discovered by an international team of researchers led by the University of Michigan.
MIT researchers and colleagues have discovered an important鈥攁nd unexpected鈥攅lectronic property of graphene, a material discovered only about 17 years ago that continues to surprise scientists with its interesting physics. ...
Scientists have given a fascinating new insight into the next steps to develop fast, energy-efficient, future computing systems that use light instead of electrons to process and store information鈥攊ncorporating hardware ...
