To address the challenge of antibiotic resistance, scientists from IBM and the Agency for Science, Technology and Research and the Singapore-MIT Alliance for Research and Technology have published new findings in Advanced Science, which unveil the effectiveness of a new polymer in the fight against resistant bacteria.
At IBM Research’s recent “The Path to More Flexible AI” virtual roundtable, a panel of MIT and IBM experts discussed some of the biggest obstacles they face in developing artificial intelligence that can perform optimally in real-world situations.
To assist in the fight against the COVID-19 pandemic, prominent research institutes led by Allen Institute for AI (AI2) released earlier this year the COVID-19 Open Research Dataset (CORD-19). Comprised of scientific articles related to COVID-19, Sars-Cov-2, and related coronaviruses, the dataset (which at the time of writing this contains more than 75,000 full text scientific papers) is […]
IBM Mono2Micro application modernization efforts take another step forward with the release of an updated beta version that automatically generates API services and related code to activate Mono2Micro microservice recommendations.
Perhaps more than any technology before it, quantum computing will create a deep disparity between first movers and fast followers. That was the assessment a panel of academics, entrepreneurs and quantum computing experts at the July 9 virtual roundtable, “The Future of Quantum Software Development.” Watch the replay, here.
In a recent publication, IBM researchers describe a novel speaker diarization algorithm that can consider not only speaker information, but also identifying clues about individual recording environments that help differentiate between the speakers, resulting in improved diarization accuracy for our in-house, real test cases as well as public benchmark data.
In a new paper, researchers use the inspiration of the fruit fly olfactory network and a biologically plausible method for representation learning to propose a data-driven hashing algorithm for approximate similarity search.
The Qiskit Optimization module is one of the initial steps towards our vision for creating a programming environment where the intricacies of the underlying technology are no longer a concern to users. They simply run their programs in any language, and a smooth ballet of technology ensues.
Six months after the first Quantum Volume 32 demonstration, IBM now hosts eight quantum computing systems that cross the QV32 performance threshold. Six of these are completely new systems: three 27-qubit Falcons and three 5-qubit Canaries.