Harnessing photonics for at-home disease detection

In the not-too-distant future, people may have a simple device that monitors and reports health indicators, identifies even trace amounts of undesirable biomarkers in the blood or saliva and serves as an early warning system ...

Semantic cache for AI-enabled image analysis

The availability of high-resolution, inexpensive sensors has exponentially increased the amount of data being produced, which could overwhelm the existing Internet. This has led to the need for computing capacity to process ...

Teaching AI to learn from non-experts

Today my IBM team and my colleagues at the UCSF Gartner lab reported in Nature Methods an innovative approach to generating datasets from non-experts and using them for training in machine learning. Our approach is designed ...

IBM to release world's largest facial analytics dataset

Society is paying more attention than ever to the question of bias in artificial intelligence systems, and particularly those used to recognize and analyze images of faces. At IBM, we are taking the following actions to ...

Machine learning offers new way of designing chiral crystals

Engineers and chemists at Hiroshima University successfully used the technology underlying facial recognition to design chiral crystals. This is the first study reporting the use of this technology, called logistic regression ...

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