Examples of using Algorithms can in English and their translations into Chinese
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Many algorithms can operate on different types of data;
In the hands of a benign government, powerful surveillance algorithms can be the best thing that ever happened to humankind.
These algorithms can be used to calculate quantitative results from the data.
For dynamic problems, multi-solution meta-heuristic optimization algorithms can be used to track changes to local optima over time.
JoinPad's algorithms can recognize locations, objects or object categories.
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In some cases, well-trained computer vision algorithms can perform on par with humans that have years of experience and training.
AI algorithms can find patterns in factors that influence human behaviour and decisions.
Car-to-car networks and advanced control algorithms can ensure there are no surprises, and hopefully someday no accidents.
Algorithms can verify trading systems, analyze past data, and offer accurate predictions.
Machine learning and algorithms can ensure the end user experience.
Algorithms can analyze and target, but only humans can truly inspire other humans.
Insights, visualizations and algorithms can be shared across organizational boundaries.
Algorithms can predict when a customer is ready to buy, a jet-engine needs servicing or a person is at risk of a disease.
Depending on the pattern of traffic, the decision-making algorithms can adjust the traffic lights and their duration, lodge complaints against people who violate traffic rules.
Algorithms can crunch databases quickly enough to alleviate some of the red tape and bureaucracy that currently slows progress down.”.
The less secure algorithms can be used for backward compatibility.
The algorithms can predict the probability of the patient dying within 30-days with accuracy of 80- 85%.
Similarity-scoring algorithms can be used to determine the similarity of entities placed in a candidate cluster.
These algorithms can use less data on a per-byte basis to correct for more serious problems than is possible with 512-byte sectors.
At the same time, modern algorithms can detect parameters like age, sex, and mood, effectively bringing Big Data to the in-store experience.
Just as algorithms can teach a computer how to play chess, an online shopping site can teach itself what product to recommend next.
Over time, machine learning algorithms can learn patterns that indicate when trucks will require maintenance and catch failures in advance.
These algorithms can be used to detect malware activities, communication behavior, or unusual commands like activating parking mode while the car is on a highway.
Computer vision algorithms can enable home security camera to become more efficient in the usage of these resources.
Then, algorithms can predict when specific components might be nearing failure and monitor the condition of in-service equipment to determine when maintenance is required.
Computer vision algorithms can enable home security camera to become more efficient in the usage of these resources.
It turns out, algorithms can learn enough chemistry to figure out what materials Boeing should use in their next airplane body.
Simple queries and search algorithms can efficiently retrieve this data, which makes processing structured data with computers easy and efficient.
Machine learning algorithms can analyze massive volumes of sensor data from multiple wells to determine the best combination of these controllable parameters.