Satoshi Nakamoto Blog

Category : big data

Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. When we handle big data, we may not sample but simply observe and track what happens. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.

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Google researchers use multiple cameras to reduce error rates for robot insertion and stacking tasks

Object-manipulating robots rely on cameras to make sense of the world around them, but these cameras often require careful installation and ongoing calibration and maintenance....
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Karius raises $165 million to identify infectious diseases with AI

Approximately 9% of the U.S. population has been diagnosed with an infectious disease. Worldwide, they’re the second- leading cause of death after heart disease, and...
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MIT CSAIL’s radars map hidden features to help driverless cars navigate snowy terrain

Inclement weather — particularly rain and snow — threaten to stop autonomous vehicles in their tracks. That’s because precipitation covers cameras critical to the cars’...
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Microsoft’s CodeBERT ingests public GitHub repositories to help you find code

Large pretrained language models have improved the state-of-the-art on a range of natural language processing tasks, chiefly because they’re able to learn contextual representations from...