Bernard Marr
JUNE 28, 2022
Machines will continue to displace humans, certainly, in repetitive and mundane roles that they can easily carry out. These will mainly be in fields that involve the uniquely human skills that machines simply can’t - and possibly never will - possess. Consider the impact of machine learning, for example.
Bernard Marr
JULY 11, 2022
The fourth industrial revolution is heralded by the arrival of technology that will allow us to eclipse the achievements we have made with all of those, specifically, automation and "smart" thinking machines. This is known as machine learning, and it is driving advancement in many fields of human endeavor and enterprise.
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Bernard Marr
MARCH 26, 2023
Talk To Books This is an experimental ChatGPT-style conversational interface plugged into the Google Books library and capable of surfacing facts, quotes, and passages from literature. You can filter categories of books so that asking, for example, a historical question will only return answers contained in historical fiction or non-fiction.
XR for Business Podcast
DECEMBER 12, 2019
I will be speaking at that conference on the transformation of learning with XR. I’m going to be speaking at your VRX conference — we’ll talk about that, and all the great things — and you also host a number of really informational webinars. I know you guys host a lot of webinars. How are you today?
XR for Business Podcast
DECEMBER 12, 2019
I will be speaking at that conference on the transformation of learning with XR. I’m going to be speaking at your VRX conference — we’ll talk about that, and all the great things — and you also host a number of really informational webinars. I know you guys host a lot of webinars. How are you today?
Bernard Marr
APRIL 12, 2023
A year or two back, a Google search for the term "metaverse" would bring up pages of stories about companies making a move into virtual worlds. Usually, this operates via blockchain – a distributed ledger technology that uses cryptographic keys to securely synchronize data across many different machines and servers.
Bernard Marr
FEBRUARY 12, 2023
The book begins by highlighting Alphabet (parent company to Google) as a prime example of a company that is "all in on AI," with machine learning powering many of its popular services like search, Maps, Assistant, and Gmail. These [all-in] companies hire data scientists, machine learning engineers, and so on.
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