Search results
Results from the WOW.Com Content Network
Because software, unlike a major civil engineering construction project, is often easy and cheap to change after it has been constructed, a piece of custom software that fails to deliver on its objectives may sometimes be modified over time in such a way that it later succeeds—and/or business processes or end-user mindsets may change to accommodate the software.
Key topics include machine learning, deep learning, natural language processing and computer vision. Many universities now offer specialized programs in AI engineering at both the undergraduate and postgraduate levels, including hands-on labs, project-based learning, and interdisciplinary courses that bridge AI theory with engineering practices ...
In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. [1] The field has experienced several hype cycles , followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or even decades later.
AI is opening new career tracks for software developers who want to shift to different roles. Developers at an AI roundtable said that the tech job market is fluctuating rapidly with gen AI.
AI has a history of bias, and Google tried to overcome that by including a wider diversity of ethnicities when generating images of people. But the company overcorrected, and the software ended up ...
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.
The AI effect is the discounting of the behavior of an artificial-intelligence program as not "real" intelligence. [1]The author Pamela McCorduck writes: "It's part of the history of the field of artificial intelligence that every time somebody figured out how to make a computer do something—play good checkers, solve simple but relatively informal problems—there was a chorus of critics to ...
The last decade has seen a dizzying increase in the compute used for training AI models. For example, OpenAI’s GPT-4, released in 2023, is estimated to have been trained using roughly 10,000 ...