One of the main reasons is that many loss functions are too sensitive to sample points far from their classes. In this paper, ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

MIT and NVIDIA researchers created a GPU-accelerated algorithm that lets robots plan complex tasks in seconds, boosting industrial efficiency.

Then they trained a collection of machine learning surrogate models for each radiation detector and used an offline optimization algorithm to determine the voltage settings for reducing radiation ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Then, they'll use that algorithm to offer a list of suggestions. While machine learning is useful, it’s important to note that there is no artificial intelligence involved in its functions. Machine ...

I will gladly let Google predict the fastest route from Brooklyn to Boston, but if I allowed its algorithms ... learning to identify cats from pictures labelled “cat,” for example, the machine ...

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