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Neuromorphic computing
| AI Glossary |
Computing that mimics the human brain or neural network.52 609 p
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Computability, английский
Вычислимость
Computable, английский
Вычислимый; исчислимый
Computable function, английский
Вычислимая функция
Computare, латинский
Computare [1], латинский
Computare, 1, латинский
Computarization, английский
Компьютеризация; применение вычислительной техники
Computatio [onis, f], латинский
Computatio, onis, f, латинский
Computation, английский
- Вычисление; расчет сомртм`т compartment помещение; отсек
- Вычисление
- Вычисление, расчёт о to
- The process of computing
- Исчисление
Computation and data processing center, английский
Центр вычислений и обработки данных
Computation center, английский
Вычислительный центр
Computation demand, английский
Computation graph, английский
Вычислительный граф; граф вычислений computation-intensive требующий большого объема вычислений
Computation load, английский
Вычислительная нагрузка
Computation procedure, английский
Вычислительный метод (обработка данных)
Computation procedure of three dimensional position fix error, английский
Computation redundancy, английский
Избыточность вычислений
Computation speed, английский
Скорость вычислений
Computation time, английский
Время вычисления
Computation-bound, английский
Of, pertaining to, or characteristic of a situation in which the performance of a computer is limited by the number of arithmetic operations the microprocessor must perform. when a system is computation-bound, the microprocessor is overloaded with calculations.
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Object recognition, английский
The algorithmic process of finding objects in the real world from an image, typically using object models which are known a priori.53 one shot (or few shot) learning: an approach to machine learning that leverages existing knowledge to enable learning in some applications (e.g., object recognition) on a few non-repeated examples, with the system rapidly learning similarities and dissimilarities between the training examples.54 open knowledge network (okn): a vision to create an open knowledge graph of all known entities and their relationships, ranging from the macro (e.g., have there been unusual clusters of earthquakes in the u.s. in the past six months?) to the micro (e.g., what is the best combination of chemotherapeutic drugs for a 56-year-old female with stage 3 brain cancer?). okn is meant to be an inclusive, open, community activity resulting in a knowledge infrastructure that could facilitate and empower a host of applications and open new research avenues, including how to create trustworthy knowledge networks/graphs.55
Networks are trained in tandem, английский
One is designed to be a generative network (the forger) and the other a discriminative network (the forgery detector). the objective is for each network to train and better itself off the other, reducing the need for big labeled training data.37 graphics processing unit (gpu): a specialized chip capable of highly parallel processing. gpus are well-suited for running machine learning and deep learning algorithms. gpus were first developed for efficient parallel processing of arrays of values used in computer graphics. modern-day gpus are designed to be optimized for machine learning. high-performance computing (hpc): developing, deploying, and operating very highcapacity computers (along with the requisite software, hardware, facilities, and underpinning infrastructure) to advance the computational upper limits of resolution, dimensionality, and complexity.38
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