These advances have used massive databases of images to train deep convolutional neural networks to recognize objects and faces with the kind of accuracy that now matches human performance.
The firm uses massive databases and specialized software to monitor how a sample of 2 million consumers use the Internet, including where they spend money, what Web sites they visit and how long they stay there.
The bits of junk are then catalogued and monitored as they pass through the radar field until analysts, using massive computer databases, can predict where the pieces of debris will go and when they might come close enough to collide with something.
Using a massive database of insurance claims, the team built a model that combines data on diagnostics, medications and procedures with demographic information to predict which patients are at risk of admission and readmission within six months.
In 2012, she and Quentin Atkinson, a biologist at the University of Auckland in New Zealand, constructed a family tree for the elusive Pama-Nyungan, using a massive database of 600,000 words to compensate for the low number of cognates.
Kim uses a massive database of LED light photography, photoshop, binary code and dynamic software along with the best digital printers and progressive engineers, in order to produce her meditative, bold works of art.
We used a massive database of ICU patients (MIMIC) to continuously vary the observation period and threshold of urine output measurements to determine optimal AKI definitions for improved in-hospital mortality prediction.
Here we present APADB, a database of vertebrate PA sites determined by 3′ end sequencing, using massive analysis of complementary DNA ends.
But it's also a long way from what Watson was created for: to use that prodigious ability to parse massive databases of natural-language information to act as an aid to humans in highly technical areas, working alongside them rather than competing with them to be the best.
Because researchers these days need to cover updates of much wider topics to generate hypotheses using massive datasets obtained from public databases or omics experiments, the importance of having an effective literature recommendation service is rising.
