This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Steve_Ward_(computer_scientist)





Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.

Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain

Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.

Listen on Google Assistant through Extra Audio:
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Speaking Rate: 0.8132611680485402
Voice name: en-GB-Wavenet-B


"I cannot teach anybody anything, I can only make them think."
- Socrates


SUMMARY
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Steve Ward is Professor of Computer Science and Engineering at MIT, where his recent teaching and research activities revolve around areas of computer system architecture. He holds three degrees from MIT – a Bachelor of Science and a Master of Science in Electrical Engineering and a PhD in Computer Science.
One of his research projects, the 1979 Nu machine, became a model for microprocessor-based workstations. Numerous software products have been created due to inspiration of its UNIX port and system software, and the NuBus has become an industry standard. In the late 1970s Professor Steve Ward and his research group at MIT's Laboratory for Computer Science (LCS) developed TRIX (operating system). Ward's inventions include a novel dynamic memory chip architecture and a real-time controller design. He was involved with the Curl project, which aimed to formulate a new language for creating web documents with almost any sort of content, from simple formatted text to complex interactive applets, in the 90s. In the past decade, he has worked on organic computing – alternative ways of building systems so that they behave more like organisms than like conventional computer systems.