您现在的位置是:Implementing AI into software engineering? Here's everything you need to know >>正文
Implementing AI into software engineering? Here's everything you need to know
后花园论坛社区|2024夜上海论坛网|爱上海419论坛 -- Back garden62人已围观
简介Kobus Louw/Getty ImagesSoftware developers thrive on certainty. If you feed a program a set of input...
Software developers thrive on certainty. If you feed a program a set of inputs, you'll always get the same outputs. For most of software's history, software was built entirely on deterministic logic. What goes in determines what goes out.
We even have a term for that: top-down programming. All algorithms follow a path, with branching that's also based on expected logic. When we debug code, we run down that same path over and over again, finding where behavior deviates from expectation, and wrangling it back on track.
The Intersection of Generative AI and Engineering
The surge of generative AI can harness tremendous potential for the engineering realm. It can also come with its challenges, as enterprises and engineers alike figure out the impact of AI on their roles, business strategies, data, solutions, and product development. What does the future roadmap look like for bringing generative AI into the software fold? ZDNET decodes from all angles.
Read nowCertainty and deterministic logic work for a lot of software. But the real world doesn't work that way. By contrast, AI is probabilistic. Answers are never exact. Instead, AI uses models to predict behavior, and then generates that behavior.
Perhaps the best way to describe this is how traditional software is updated vs. AI. Traditional software gets updates and patches. AI learns, evolving on its own, understanding and assimilating user feedback without manual intervention. This makes traditional software more precise, but AI more flexible.
AI in 2023: A year of breakthroughs that left no human thing unchanged These are the jobs most likely to be taken over by AI AI at the edge: 5G and the Internet of Things see fast times ahead Almost half of tech executives say their organizations aren't ready for AI or other advanced initiatives AI in 2023: A year of breakthroughs that left no human thing unchangedTags:
转载:欢迎各位朋友分享到网络,但转载请说明文章出处“后花园论坛社区|2024夜上海论坛网|爱上海419论坛 -- Back garden”。http://dzbz.com.cn/news/5741.html
相关文章
If you use AI
Implementing AI into software engineering? Here's everything you need to knowThere will be hackers, criminals, rogue nation states, high school students, and crackpots all attem...
阅读更多
ChatGPT browsing feature deactivated only a week after roll out
Implementing AI into software engineering? Here's everything you need to knowMaria Diaz/ZDNETJust a week after the ChatGPT Browse feature went live on the iOS app, OpenAI had to...
阅读更多
Cancer therapies depend on dizzying amounts of data: Here's how it's getting sorted in the cloud
Implementing AI into software engineering? Here's everything you need to knowGetty ImagesCancer patients and their doctors have more information about the disease and its treatm...
阅读更多
热门文章
- Microsoft provides a glimpse of future Windows 11 and Cloud PC integrations
- ChatGPT's hallucination just got OpenAI sued. Here's what happened
- OpenShift 4.10: Red Hat teams with Nvidia to add AI and machine learning
- Cloud security: Five things you need to get right
- Ahead of AI, this other technology wave is sweeping in fast
- How to block OpenAI's new AI
最新文章
Cloudify partners with ServiceNow for business cloud automation
What is cloud computing? Everything you need to know about the cloud explained
These authors are suing OpenAI and Meta for copyright infringement now
LinkedIn is using AI to make it easier for recruiters to reach you
OK, we're going full digital: Anyone out there to help us?
Apple adds 6TB and 12TB iCloud+ storage tiers priced at $30 and $60 a month