Scientists at IBM Research-Zurich use gallium phosphide to create on-chip integrated devices using optomechanics for quantum transduction.
A comprehensive analysis of tumor ecosystems that represents an important step in research that may lead to precision medicine approaches to treat breast cancer.
Magnetic materials could be at the forefront of an upcoming revolution in electronics.
The patterning of molecules is critical in applications including microarrays, tissue engineering, biosensors, biomaterials and fundamental cell studies.
IBM Research understands data privacy for a modern business and has developed state-of-the-art solutions for protecting data in the GDPR era.
NeuNetS uses AI to automatically synthesize deep neural networks faster and more easily than ever before, scaling up the deployment and adoption of AI.
Constructing a neural network model for each new dataset is the ultimate nightmare for every data scientist. What if you could forecast the accuracy of the neural network earlier thanks to accumulated experience and approximation? This was the goal of a recent project at IBM Research and the result is TAPAS or Train-less Accuracy Predictor […]
As data grows, so does the energy consumption required to store and process it, which is why scientists around the world are turning to light (photonics) as a means of moving data. The Pockels effect, an important phenomenon in certain materials, allows changing the optical properties of the material through an electrical stimulus. The effect […]