Sentence examples for AI engineering from inspiring English sources
The phrase "AI engineering" is correct and can be used in written English
It refers to the field of engineering that focuses on artificial intelligence. Some examples of when it could be used are: - "The company is looking for candidates with experience in AI engineering." - "The university is offering a new degree program in AI engineering." - "The advancements in AI engineering have greatly improved the efficiency of the manufacturing process."
What Salesforce is to a sales team, Labelbox is to an AI engineering team.
It's seen over 8,000 graduates from its nanodegree program, which means that its alumni make up an estimated 3percentt of the world's total AI engineering pool, according to the company.
But while tech companies have been quick to try to use AI engineering solution to fix content moderation, Facebook CEO Mark Zuckerberg himself has said that context remains a hard problem for AI to solve.
Krafcik also says that its decision to build out all of its sensor suites in-house has a significant talent benefit, since it means that it'll now have deeply knowledgeable experts in each key sensing area, who can work closely with resources on the AI engineering side to ensure the best possible use of the gathered data by the car's in-vehicle computational systems.
The acquisition should help give ServiceNow more AI engineering talent and help them beef up their natural language processing (NLP) to further refine and improve their chatbot products moving forward, as the Parlo team and technology get incorporated into the ServiceNow platform.
Thinking about the risks associated with emerging AI technology is hard work, engineering potential solutions and safeguards is harder work, and collaborating globally on implementation and monitoring of initiatives is the hardest work of all.
Cozmo is an impressive second act for the company, and one Sofman assures is only the beginning, now that the groundwork for AI and engineering have been laid for future products.
The time spent by each subject to develop the base Application Implementation (AI), Domain Engineering (DE and Application Engineering AEAE) is shown in Table 3. Considering DE and AE, one can observe that the subjects spent 45.27% of the total time using Pure::variants and 54.73% using F3T.
This paper examines the potential impact of AI on the engineering of biological organisms through the lens of a typical organism engineering workflow.
From his new post as Google's director of engineering, AI developer Ray Kurzweil has predicted that by 2029, computers will be able to outsmart even the cleverest human.
A wide spectrum of synthetic and natural polymers has been studied in electrospinning of scaffolds in neural tissue engineering (Ai et al. 2013).
