After uncovering a new Nasca Line formation with IBM Watson Machine Learning Accelerator on IBM Power Systems, Yamagata University will deploy IBM PAIRS in the hopes of further discoveries with AI.
The research and development of machine learning (ML) across various domains, such as computer vision, natural language processing, and speech transcription has been growing rapidly. ML is important in many enterprise applications across industries such as manufacturing, finance, healthcare, and marketing. With the growing adoption of ML, it is increasingly challenging to design or choose […]
There is a growing number of adversarial attacks and nefarious behaviors aimed at AI systems. To combat this, IBM Research AI will present multiple papers that yield new scientific discoveries and recommendations related to adversarial learning at KDD 2019.
Using microfluidic probe, IBM scientists perform microscale IHC on tissue sections with a gradient of incubation times for the primary antibody.
For the rapid and mobile fingerprinting of beverages and other liquids less fit for ingestion, our team at IBM Research is currently developing Hypertaste, an electronic, AI-assisted tongue that draws inspiration from the way humans taste things.
At the 36th International Conference on Machine Learning (ICML 2019), June 10–15 in Long Beach, CA, IBM Research AI will present recent technical advances in machine learning for AI and data science. We’ve led the exploration and development of machine learning technologies for decades, and now we’re progressing the AI field through our portfolio of […]
A comprehensive analysis of tumor ecosystems that represents an important step in research that may lead to precision medicine approaches to treat breast cancer.
IBM Research and New York University are using AI to analyze retina imaging data and help to assess the presence of glaucoma.
There are high hopes that quantum computing’s tremendous processing power will someday unleash exponential advances in artificial intelligence.
Alzheimer’s disease, a terminal neurodegenerative disease, has historically been diagnosed based on observing significant memory loss.
IBM and the Danish Refugee Council developed a machine learning system to help understand migration via strategic forecasts and scenario analysis.