machine learning

Type: 
Topical Term
Subfield: 
a
Alias: 
machine learning

Genius makers

the mavericks who brought A.I. to Google, Facebook, and the world
2021
What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing. Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn't drive and didn't fly because he could no longer sit down--but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do. They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line. Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question: How far will we let it go?.

Who's afraid of AI?

fear and promise in the age of thinking machines
2019
"A penetrating guide to artificial intelligence: what it is, what it does, and how it will change our lives"--Provided by publisher.

Big data and machine learning

2019
"Machine learning analyzes big data to uncover patterns invisible to humans. These technologies help Internet users find things online, make it possible to quickly translate speech, and create smarter video game opponents. Big data and machine learning are used everywhere in society, and the opportunities for their uses are endless"--Publisher.

The invisible brand

marketing in the age of automation, big data, and machine learning
"A roadmap to harnessing the power of artificial intelligence for maximum marketing results-from a nationally recognized thought leader"--Provided by publisher.

Real-world STEM: reverse-engineer the brain

2018
Examines artificial intelligence, discussing what exists now, how it is being devoloped and improved, along with some of the challenges and possible solutions.

Into the heart of the mind

an American quest for artificial intelligence
1984
Tells about the team working at Berkeley to teach a computer to think in the sense that living organisms do, beginning with, "If there's an event, process it; if there's a goal, plan for it; if there are plans, execute them.".

Machines that think

1986
Describes the technology of artificial intelligence and the efforts by scientists to build machines that can see, hear, talk, and understand.

Artificial intelligence

opposing viewpoints
1990
Surveys the field of computers and artificial intelligence and presents opposing viewpoints on the matter of creating intelligent machines.
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