Researchers from the IBM AI Hardware Center will showcase at IEDM and NeurIPS new analog devices, algorithmic and architectural solutions, a novel model training technique, and a full custom design.
At the 2019 VLSI, IBM researchers will present three papers that provide novel solutions to AI computing based on analog devices.
IBM researchers propose guidelines for novel analog memory devices to enable fast, energy-efficient and accurate AI hardware accelerators.
Scientists publish a new approach to phase change memory using only a single chemical element—antimony—in Nature Materials.
In recognition of National Inventors’ Day, IBM researcher, Abu Sebastian, writes about his life as an inventor and his research on phase-change memory devices. Inventions come in different forms. Often, they are specific tricks or improvements that help us overcome a roadblock that presents itself when developing a specific product or prototype. But what really […]
Inspired by the way the human brain functions, a team of scientists at IBM Research in Zurich, have imitated the way neurons spike, for example when we touch a hot plate. These so-called artificial neurons can be used to detect patterns and discover correlations in Big Data with power budgets and at densities comparable to […]
Phase change materials were first considered for storing data more than 30 years ago, where the two metastable states or phases of these materials are used to store data in the form of millions of lines of binary code made of up billions of 0s and 1s. The concept eventually reached the consumer market, and […]
Theseus was a great hero in Greek mythology known for qualities such as strength, courage and wisdom. Therefore it’s no surprise that a team of Greek IBM scientists in Zurich and Professor Theodore Antonakopoulos and his team from the University of Patras, Greece, borrowed his name as a codeword for a groundbreaking new memory technology, which […]