Sentence examples for data machines from inspiring English sources
To others he was the wealthy businessman who created the financial data machines that bear his name; a reporter here wanted his prediction on the United States economy.
I.B.M. was founded a hundred years ago today, as C.T.R., or Computing Tabulating and Recording Company, and it's best known for its data machines: commercial scales and clocks, industrial time recorders and punch cards, and, of course, computers.
Drawing on those photographs, here's a look at the history of design at I.B.M. I.B.M. was founded a hundred years ago today, as C.T.R., or Computing Tabulating and Recording Company, and it's best known for its data machines: commercial scales and clocks, industrial time recorders and punch cards, and, of course, computers.
"Telemetry" means machines — machines processing data, machines monitoring a patient's condition — and I am shocked to see my husband in a hospital bed, in an oxygen mask, I.V. fluids dripping into his arm, both his heartbeat and his breathing monitored through a device like a clothespin clipped to his forefinger, as a machine ingeniously translates his oxygen intake into numerals.
Given digitized image data or multi dimensional data, machines extract features and classify patterns by examining each digital element (pixels) of each image.
The paper describes a new type of evolving connectionist systems (ECOS) called evolving spatio-temporal data machines based on neuromorphic, brain-like information processing principles (eSTDM).
Masterminded Trump's astounding election win with a "stealth data machine".
The same cannot be said for contemporary manifestations of AI, as represented by the combination of massive processing power, big data, machine learning, advanced robotics and neural networks.
Given that there is no way that humans can handle these volumes of scientific, commercial and personal data, machine intelligence is the only way to go.
It supports both structured and unstructured data, machine learning and data mining.
The solution requires serious engineering work on big data, machine learnings, algorithms, scalability, and distributed systems.
