Computational thinkingAlgorithm learningPuzzle based learningDesign based researchComputational thinking (CT), which is the core of the Computer Science field, is an essential thinking process to solve problems effectively and efficiently using computing systems. Learners must be able to design algorithms,...
First of all, in terms of business requirements, we mainly consider the four dimensions of business boundaries, dialogue capabilities, user volume, and evaluation indicators. In terms of business boundaries, Xiaobu Assistant belongs to a full-scenario open-domain dialogue interaction system. The areas...
These innovations could drastically cut AI’s energy footprint while boosting performance, including: Faster data processing and model training – Traditional AI models, particularly in ML and DL, require immense computational power to process and analyse large datasets and finetune billions of ...
In summary, we have discussed the main dimensions ofalgorithm selectionand computational thinking. The key lesson is that given a problem decomposition decision, programmers will typically have to select from a variety of algorithms. Some of these algorithms achieve different trade-offs while maintaining...
above, we can group data by users and items, sort by time, and then subtract the time of two adjacent events to obtain the interval. Generally, to save calculation steps, the interval can be directly recorded in the event. Although this causes storage redundancy, it ...
In subject area: Computer Science A Planning Algorithm is a method used in computer science to generate a sequence of actions that lead to the achievement of a goal by systematically exploring possible states and actions in a logical manner. AI generated definition based on: Autonomous Mobile Robo...
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, automated decision-making and competing at the highest level in strategic game systems (such as chess and Go).[2] As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.[3] For ...
developed a database anomaly detection service based on AI algorithms. This article introduces some of our practices and thinking from the dimensions of feature analysis, algorithm selection, model training and real-time detection, hoping to bring some inspiration or help to students engaged in ...
The ability to reason about hardware limitations when developing an application is a key aspect of computational thinking. Readers are also referred to Appendix B for a summary of resource limitations of several different devices. Although we introduced tiled algorithms in the context of CUDA ...