Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

The developers say that the resource compiles and standardizes brain-related datasets in a way that supports collaboration between labs.

Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

Excel offers no such constraint. If someone is determined to enter bad data, they can simply paste values over a validated ...

A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of ...

National Natural Science Foundation of China (No. 82472062); Regional Innovation and Development Joint Fund of the National Natural Science Foundation of China (No. U22A20345); National Science and ...

In part two of this three-part series, AI scientists immerse themselves in the world of primatology to accelerate behavioral ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...

Discover how St. Jude scientists created AlphaSync, a database that keeps protein predictions up to date to push science ...

As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi model databases – is ...

Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...

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