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Artificial intelligence engineering (or AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.
Artificial Intelligence (AI) engineering is the interdisciplinary field focused on designing, developing, and deploying AI systems. It combines principles from data and software engineering to create robust, scalable, and efficient solutions for complex tasks.
Lê Viết Quốc (born 1982), [1] or in romanized form Quoc Viet Le, is a Vietnamese-American computer scientist and a machine learning pioneer at Google Brain, which he established with others from Google. He co-invented the doc2vec [2] and seq2seq [3] models in natural language processing.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Robotics engineering is a branch of engineering that focuses on the conception, design, manufacturing, and operation of robots. It involves a multidisciplinary approach, drawing primarily from mechanical , electrical , software , and artificial intelligence (AI) engineering .
AI Factory; AI in education; AI-assisted reverse engineering; AI-assisted targeting in the Gaza Strip; AI: When a Robot Writes a Play; Aidoc; Aisera; AIVA; Alice (Microsoft) Anyword; Apple Intelligence; Artificial imagination; Outline of artificial intelligence; Artificial Intelligence Applications Institute; Artificial intelligence in architecture
Friendly AI – hypothetical AI that is designed not to harm humans and to prevent unfriendly AI from being developed; Machine ethics; Regulation of AI; AI box; Self-replicating machines – smart computers and robots would be able to make more of themselves, in a geometric progression or via mass production. Or smart programs may be uploaded ...
Four curricula certified by AUN-QA for the first time include Electronics and Telecommunications Engineering, Software Engineering, Environmental Science, and Finance-Banking. According to the certification results, these 4 curricula are rated “Adequate as Expected” or “Better than Adequate”.