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Quotes tagged ‘Machine Learning’

(52 total)

Machines take me by surprise with great frequency.

It’s not magic. It’s machine learning.

In the future, will all text contain emoji?

— Instagram Engineering, engineering.instagram.com

The output of the network is a matrix of character probabilities over time. In other words, for each time step the network outputs one probability for each character in the alphabet, which represents the likelihood of that character corresponding to what’s being said in the audio at that time.

— Reuben Morais, hacks.mozilla.org

Despite the simplicity of the approach, we were surprised to find that the method was able to substantially outperform a number of existing approaches on popular few-shot image classification benchmarks, Omniglot and MiniImageNet2, including existing approaches that were much more complex or domain…

— Chelsea Finn, bair.berkeley.edu

In ML, where algorithms get published quickly and state-of-the-art frameworks are open-source, there isn't any first-mover advantage.

— François Chollet, twitter.com

The technology Graphiq has developed to connect the dots between billions of pieces of information could be valuable to Amazon as it tries to make Alexa smarter. Akin to Siri on the iPhone, Alexa answers queries about the weather, sports and other topics on devices such as Amazon's Echo speaker. Las…

— Paresh Dave, latimes.com

Founded in 2009 as FindTheBest, the company sought to collect and organize details about products, places and people to simplify online research.

— Paresh Dave, latimes.com

The issue, then, becomes managing the data and then doing something useful with it.

— Evan Ackerman, spectrum.ieee.org

Normalization inherently involves discarding information, but since ConceptNet 3, we have ensured that this information is stored with the assertion and not truly discarded

— Catherine Havasi, Robert Speer, lrec-conf.org

ConceptNet includes not just definitions and lexical relationships, but also the common-sense associations that ordinary people make among these concepts. Its sources range in formality from dictionaries to online games.

— Catherine Havasi, Robert Speer, lrec-conf.org

Asking for a definition of Artificial Intelligence (AI) is like the old story of the blind men describing an elephant. You can get many different definitions, depending on one's point of view.

— Robert S. Engelmore, lib.dr.iastate.edu

There is no one best way to represent knowledge, or to solve problems, and limitations of present-day machine intelligence stem largely from seeking 'unified theories', or trying to repair the deficiencies of theoretically neat, but conceptually impoverished ideological positions. Our purely numeric…

— Marvin Minsky, web.media.mit.edu

Connectionist AI is capable of dealing with incomplete, approximate and inconsistent information as well as generalization.

— Ron Sun, cogsci.rpi.edu

The workings of any machine-learning technology are inherently more opaque, even to computer scientists, than a hand-coded system.

— Will Knight, technologyreview.com

The car didn’t follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it.

— Will Knight, technologyreview.com

Memory cells are organized into groups and the groups can further be organized into higher level groups. The choice for the memory structure is tightly coupled with the choice of reader, which is essential for fast memory access. We consider three classes of approaches for the memory’s structure: ha…

— Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio, openreview.net

A new analysis of 17 years of data shows that not only are robots taking jobs away from low-skilled workers, but the move to automation is also lowering wages for existing jobs.

— Patrick Caughill, futurism.com

Machine learning is about taking the data that anyone might have — whether it's a sports franchise or an industrial manufacturer — and using algorithms to actually reason over the data and to predict outcomes that a businessperson can use to make better decisions.

— Christopher Matthews, axios.com

Machine learning will bring about not just a new era of civilization, but a new stage in the evolution of life on Earth.

— Pedro Domingos, amazon.com

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