Artificial Inteligence Learning Software Development 
Idea to Value
AUGUST 10, 2021
One area where Goodhart’s Law gets even more dangerous is in target-based software development, especially Artificial Intelligence and Machine Learning. If humans set a specific target for an Artificial Intelligence system, it will try everything it can to optimise its performance to meet that target.
IdeaScale
JUNE 27, 2018
So in this article we will address a new emerging theme: machine learning and try to answer the question “ who learns faster, a machine or an human?” People can get stuck in the process of learning. How does a machine learn? But are they actually learning? How does a human learn?
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Business and Tech
MARCH 21, 2023
The contents are updated and there are the beginnings of subjects like ethics and software development life cycle, but the bulk is still algorithms, coding, and platforms. Although there are exciting developments in machine learning, the broad topic of artificial intelligence dates back to the 1950s.
TechEmpower Innovation
NOVEMBER 13, 2023
On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with.
Planview
OCTOBER 22, 2024
Software development teams face increasing pressure to deliver high-quality products faster than ever. To meet these demands, organizations are turning to Artificial Intelligence (AI) and Value Stream Management (VSM) as powerful solutions that can streamline their processes and enhance productivity.
Tullio Siragusa
JANUARY 9, 2023
The Trends Artificial Intelligence and Machine Learning AI and ML are expected to continue to be integrated into a wide range of industries, from healthcare to finance to retail, to improve efficiency and productivity.
IdeaScale
JANUARY 8, 2020
However, for every technological advancement, there seems to be a learning curve or adjustment period as we try to figure out how to implement automation into our daily lives. Such tools enable digital design and high-fidelity prototyping, but they also have specific hardware and software requirements that come with their own issues.
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