In “Probing resonating valence bond states in artificial quantum magnets,” we show that quantum spin liquids can be built and probed with atomic precision.
We have unveiled in the laboratory new details on how the famous Titan haze may have formed and what its chemical make-up looks like. Our findings in the latest issue of the Astrophysical Journal detail how we've resolved molecules of different sizes, giving snapshots of the different stages through which molecules grow to build up the haze.
Our Zurich-based team of researchers has just managed to efficiently guide visible light through a silicon wire – an important milestone towards faster, more efficient integrated circuits. Our low-loss silicon waveguide could enable new photonic chip designs for applications that rely on visible light, and could lead to more efficient lasers and modulators used in telecoms.
In our latest paper published in the Microbiome Journal, we propose a way to improve the speed, sensitivity and accuracy of what’s known as microbial functional profiling – determining what microbes in a specific environment are capable of.
Our team has developed Physics-informed Neural Networks (PINN) models where physics is integrated into the neural network’s learning process – dramatically boosting the AI’s ability to produce accurate results. Described in our recent paper, PINN models are made to respect physics laws that force boundaries on the results and generate a realistic output.
A patent is evidence of an invention, protecting it through legal documentation, and importantly, published for all to read. The number of patents IBM produces each year – and in 2020, it was more than 9,130 US patents – demonstrates our continuous, never-ending commitment to research and innovation.
A team formed by IBM Research scientist Dr. Leo Gross, University Regensburg professor Dr. Jascha Repp, and University Santiago de Compostela professor Dr. Diego Peña Gil has received a European Research Center (ERC) Synergy Grant for their project “Single Molecular Devices by Atom Manipulation” (MolDAM).
A new AI model, developed by IBM Research and Pfizer, has used short, non-invasive and standardized speech tests to help predict the eventual onset of Alzheimer’s disease within healthy people with an accuracy of 0.7 and an AUC of 0.74 (area under the curve).
This year’s IBM "5 in 5" predictions focus on accelerating the discovery of new materials to enable a more sustainable future. In line with the United Nation’s global call-to-action through its Sustainable Development Goals, IBM researchers are working to speed up the discovery of new materials that will address significant worldwide problems.
Hydrogen is the simplest element in the universe, yet its behavior in extreme conditions such as very high pressure and temperature is still far from being well understood. Dense hydrogen constitutes the bulk of the content of giant gas planets and brown dwarf stars and it’s a material of interest for both fundamental physics and […]
Using sophisticated geospatial technology known as IBM PAIRS Geoscope, IBM researchers are shedding light on the environmental and societal impacts of the COVID-19 pandemic.
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.