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작성자 백지윤 작성일23-07-17 15:11 조회1,505회 댓글0건관련링크
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ACROSS
5. A broader family of machine learning methods, which is based on artificial neural networks with
representation learning.→deep learning
6. Abbreviation for the Internet of things describes physical objects (or groups of such objects) with sensors,
processing ability, software and other technologies that connect and exchange data with other
devices and systems over the Internet or other communications networks.→lot
7. An artificial intelligence chatbot developed by OpenAI and released in November 2022.→chat gpt
8. An area of computer science that deals with giving machines the ability to seem like they have human
intelligence.→artificial intelligence
DOWN
1. Technology that is used to design, build, and operate robots.→robotics
2. A process or set of rules to be followed in calculations or other problem-solving operations, especially
by a computer.→algorithm
3. A field devoted to understanding and building methods that let machines "learn" – that is, methods
that leverage data to improve computer performance on some set of tasks.→machine learning
4. Data sets that are too large or complex to be dealt with by traditional data-processing application
software.→big data
5. A broader family of machine learning methods, which is based on artificial neural networks with
representation learning.→deep learning
6. Abbreviation for the Internet of things describes physical objects (or groups of such objects) with sensors,
processing ability, software and other technologies that connect and exchange data with other
devices and systems over the Internet or other communications networks.→lot
7. An artificial intelligence chatbot developed by OpenAI and released in November 2022.→chat gpt
8. An area of computer science that deals with giving machines the ability to seem like they have human
intelligence.→artificial intelligence
DOWN
1. Technology that is used to design, build, and operate robots.→robotics
2. A process or set of rules to be followed in calculations or other problem-solving operations, especially
by a computer.→algorithm
3. A field devoted to understanding and building methods that let machines "learn" – that is, methods
that leverage data to improve computer performance on some set of tasks.→machine learning
4. Data sets that are too large or complex to be dealt with by traditional data-processing application
software.→big data
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