Examples of using Machine learning-based in English and their translations into Chinese
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Machine learning-based software can also be used to analyze music across time periods or genres.
It has never been easier to build AI or machine learning-based systems than it is today.
A vast array of industries from finance to health are seeing an uptake of machine learning-based technology.
NetSpeed Systems* demonstrated a machine learning-based interconnect platform for streamlining system-on-chip(SoC) architectures and designs.
Siemens claims this can help manufacturers monitor the condition of their industrial assets using machine learning-based analytics.
Adobe found marketing executives are prioritizing AI and machine learning-based applications and platforms to improve customer experiences.
The multi-modal sensor data can reveal fine-grained user activity and behaviour contexts, powered by machine learning-based analytics.
There are machine learning-based tools able to predict air freight transit time delays to allow proactive mitigation.
Machine learning-based analytics can also identify patterns in client activity that may point to some form of malfeasance.
These challenges included“machine learning-based optimisation of messaging”,“micro-targeting, unchecked misleading information, and deep fakes”.
Machine learning-based analytics can also identify patterns in client activity that may point to some form of malfeasance.
All of them have DAM capabilities, but none has Lightroom's machine learning-based image categorization and tagging features.
Machine learning-based applications will preempt and prevent disease on a more personal level, rather than merely reacting to symptoms.
Major vendors of IoT platform software are now offering cohesive AI capabilities such as machine learning-based analytics in their products.
These challenges, he said, included“machine learning-based optimisation of messaging,”“micro-targeting, unchecked misleading information, and deep fakes.”.
For your machine learning-based solution to correctly recognize images and video, it needs to be trained with enough of those specific data types.
Malware detection and network intrusion detection are two such areas where deep learning has shown significant improvements over the rule-based and machine learning-based solutions.
Machine learning-based attacks in the wild may remain largely unheard of at this time, but some techniques are already being leveraged by criminal groups.
In order for your own learning-based machine to effectively identify videos and images, you must use many specific types of information to teach it.
Control applications can be rule-based and machine learning-based.