In a paper published in Nano, researchers study the role of memristors in neuromorphic computing. This novel fundamental electronic component supports the cloning of bio-neural systems with low cost and power.
Scalable nanoparticle-based computing architectures have several limitations that can severely compromise the use of nanoparticles to manipulate and process information through molecular computing schemes. The von Neumann ...
Organic-inorganic halide perovskite quantum dots (PQDs) form an attractive class of materials for optoelectronic applications. Their charge transport properties are, however, inferior compared to materials such as graphene. ...
An international team of scientists, including physicists from the University of Luxembourg, have reported a comprehensive view-point on how machine learning approaches can be used in Nanoscience to analyze and extract new ...
Climate models are a success story, given that much of what they predicted has actually come true. Nevertheless, Reto Knutti points out in a blog post, researchers still need new models.
In a white paper, Christoph Rosol, Benjamin Steininger, Jürgen Renn and Robert Schlögl outline the significance of digitalization in the Anthropocene and outline the background and goals of the new research field of geoanthropology. ...
IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence. Their designs draw on concepts from the human brain and significantly outperform conventional ...
The brain and all its magnificent capabilities is powered by less than 20 watts. Stop to think about that for a second. As I write this blog my laptop is using about 80 watts, yet at only a fourth of the power, our brain ...
The Brain-Inspired Computing group at IBM Research-Almaden will be presenting at the 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) our most recent paper titled "A Low Power, High Throughput, ...
U.S. Army Research Laboratory scientists have discovered a way to leverage emerging brain-like computer architectures for an age-old number-theoretic problem known as integer factorization.
