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Kihara, Christoffer and Terashi’s software suite leverages deep learning to analyze cryo-EM data, which consists of 3D image data. “Deep learning enables the identification of atom positions in ...

It is the age of data, as both companies and investors claim to have tamed it to serve their commercial interests. The market cap of US companies at the start of 2025 accounted for roughly 49% of ...

Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

Data augmentation is an effective technique for automatically expanding training data in deep learning. Brain-inspired methods are approaches that draw inspiration ... The network architecture of our ...

In addition to rotation and panning, there are many other feature transformation techniques that can be used for image data augmentation ... AR automotive HUD software, 3D holographic pulse ...

And what about real-time analytics and streaming IoT data? Right now, IT leaders and data architects have a plethora of architecture patterns and enabling technologies to consider when evaluating ...