เขาจะซื้อเจ้าใหม่ในครั้งถัดไป

เขาจะซื้อเจ้าใหม่ในครั้งถัดไป

ผลลัพธ์ (อังกฤษ) 1:

He will buy a new one next time.

ผลลัพธ์ (อังกฤษ) 2:

AI's Path: From Manual Programming to Self-Learning
AI’s principal evolution has been from programmed intelligence to self-learning.

Hassabis draws a distinction between narrow and general artificial intelligence.

“It’s all about making machines smart - and there are two ways of doing that. You can programme solutions directly, and that’s what most AI is - embedded everywhere, on your phone, and you could even call 'search' a part of that.

Or you can give the systems the ability to learn for themselves directly from data.

The revolution that’s happening is with this second type of general AI, rather than the hand-programmed AI - where you can never get more out than you put in.

It’s never going to discover a theory or a great scientific insight.”
5
AI, Learning from Big and Bigger Data
AI’s progress is heavily fuelled by big data - and the growing digital pile of information produced by increasingly connected lives, culled from web browsers, mobile phones and Internet of Things (IoT) devices.

This steps into what Hermann Hauser, a founder, investor and observer of the European technology for nearly five decades, has called the sixth wave in the postwar evolution of computing - omnipresence and machine learning.

“Because the Internet of Things provides such a tsunami of data, we don’t have enough people in the world to analyse it,” says Hauser.

“So having an automatic way of processing the data with learning is the key ingredient of making the sixth wave successful.”

It’s a strong step towards what DeepMind's Hassabis hopes will be “AI-assisted science.”

More than number crunching, “it’s about finding the patterns and insights in the data,” he says.

ผลลัพธ์ (อังกฤษ) 3:

下次他会买一个新的。