Science Daily June 13, 2022 An international team of researchers (USA – MIT, University of Cincinnati, Harvard University, Stanford University, Washington University, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory, South Korea, China) has developed stackable and replaceable hetero-integrated chips that use optoelectronic device arrays for chip-to-chip communication and neuromorphic cores based on memristor crossbar arrays for highly parallel data processing. They created a system with these chips that can directly classify information from a light-based image source.The system was modified by inserting a preprogrammed neuromorphic denoising layer that improves the classification performance in a noisy environment. Their technology can […]
Tag Archives: Computation
New approach to information transfer reaches quantum speed limit
Phys.org August 5, 2021 A team of researchers in the US (University of Maryland, University of Colorado) designed a quantum protocol that reaches the theoretical speed limits for certain quantum tasks. In the new protocol, data stored on one qubit is shared with its neighbors using entanglement. The qubits work together to spread it to other sets of qubits. Because more qubits are involved, they transfer the information even more quickly. This process can be repeated to generate larger blocks of qubits that pass the information faster and faster. They found that the snowballing qubits speed along the information at […]
Surpassing the lower limit on computing energy consumption
Phys.org April 20, 2021 Researchers in Australia have confirmed the potential for topological materials to substantially reduce the energy consumed by computing. They demonstrated that the subthreshold swing of a topological transistor in which conduction is enabled by a topological phase transition via electric field switching, can be sizably reduced in a noninteracting system by modulating the Rashba spin–orbit interaction. By developing a theoretical framework for quantum spin Hall materials with honeycomb lattices, they showed that the Rashba interaction can reduce the subthreshold swing by more than 25% compared to Boltzmann’s limit in currently available materials but without any fundamental […]
Memristor based equation solver could cut energy used by 100 times for longer lasting smartphones
University of Michigan, July 30, 2018 Memristors enable memory and processing in the same device. However, memristors can have resistances that are on a continuum. Researchers at the University of Michigan got around the problem by digitizing the current outputs and mapped large mathematical problems into smaller blocks within the array, called “memory-processing units,” improving the efficiency and flexibility of the system. This is particularly useful for implementing machine learning and artificial intelligence algorithms, weather prediction and other matrix-based operations… read more.
Antiferromagnetic materials allow for processing at terahertz speeds
Science Daily May 24, 2018 An international team of researchers (Czech Republic, Germany, UK, Switzerland, USA – Texas A&M, Saudi Arabia) has demonstrated at room temperature that the speed of reversible electrical writing in a memory device can be scaled up to terahertz using an antiferromagnet. A current-induced spin-torque mechanism is responsible for the switching in our memory devices throughout the 12-order-of-magnitude range of writing speeds from hertz to terahertz. The work opens the path toward the development of memory-logic technology reaching the terahertz band… read more. Open Access TECHNICAL ARTICLE 1 , TECHNICAL ARTICLE 2
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
ArXiv March 9, 2018 Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them. Many researchers in the field of digital evolution have observed their evolving algorithms and organisms subverting their intentions, exposing unrecognized bugs in their code, producing unexpected adaptations, or exhibiting outcomes uncannily convergent with ones in nature. Such stories rarely fit into the standard scientific narrative. This paper is the crowd-sourced product of an international team of researchers (USA, France, Canada, UK, Norway, Sweden, Switzerland, Czech Republic ) in the fields of artificial life and evolutionary computation who have […]