Artificial
Intelligence, Machine Learning and Deep Learning @GenesisBlockch
During
past days I’ve heard a lot, more than usual, to people close to me talking
about how technology is helping and at the same time invading their routines.
All of them mention these seemingly new and cool buzzwords: machine learning,
deep learning and artificial intelligence.
But
how does one word encompass the other? How does the “regular Joe” know?
When
words such as these reach the ‘common ground’ it means that technology is
evolving quickly, putting these words and resources in the hands of the everyday
man and woman.
Call
it a next step where technologies and and its core terms find access to an
individuals’ day to day activities. For example, heard some thoughts like: how
can Siri interact as if it knew what the best choice for its owner is or how is
it that Netflix guesses what the user would like to watch?
Read this in full
at https://www.investorideas.com/news/2019/technology/05132GBT-AI.asp
Artificial
Intelligence
Defined
more or less as an intelligent agent capable of perceiving its environment and
making decisions to maximize the chances of achieving its goal. Ai includes different
subfields, among them vision, robotics, machine learning, planing, and natural
language processing.
The
Artificial Intelligence revolution is generating applications and solutions
after a considerable amount of research and beta-testing. Advancements in AI
can now diagnose treatments before the patient even gets sick. There are new
developments and new tasks being accomplished by machines previously done by
humans. Not long ago, the word AI brought us ‘cool ideas’ about sexy robots
(Bladerunner) or omnipotent digital hive minds (The Matrix). These days,
artificial intelligence is all around us. And it’s not a sexy robot (or is
it?).
Traditional
CPU data centers will encounter obstacles trying to fulfill AI demands,
something else will be innovated, like an advanced or custom distributed ledger
technology (Blockchain).
Machine Learning
Machine
learning gives computers the ability to learn without being explicitly
programmed. It is divided into 3 different subsets Supervised Learning
(classification, regression), Unsupervised Learning (Clustering,
dimensionality, reduction, recommendation), and Reinforcement Learning (reward
maximization). It’s important for people to know where the hype around machine
learning ends and where practical applications begin. For me, I see blockchain
technology as the enabling infrastructure that will allow machine learning to
reach its full potential.
Deep Learning
Deep
learning is a subset of machine learning where artificial neural networks,
algorithms inspired by the human brain, learn from large amounts of data.
Similarly to how we learn from experience, the deep learning algorithm would
perform a task repeatedly, each time tweaking it a little to improve the
outcome. We refer to ‘deep learning’ because the neural networks have various
(deep) layers that enable learning. Just about any problem that requires
“thought” to figure out is a problem deep learning can learn to solve.
Deep
learning allows machines to solve complex problems even when using a data set
that is very diverse, unstructured and inter-connected. The more deep learning
algorithms learn, the better they perform.
A
quick sample is the case of facial recognition:
Deep
learning is being used for facial recognition not only for security purposes
but for tagging people on Facebook posts and we might be able to pay for items in a store just by using our faces
in the near future. The challenges for deep-learning algorithms for facial
recognition is knowing it’s the same person even when they have changed
hairstyles, grown or shaved off a beard or if the image taken is poor due to
bad lighting or an obstruction.
The
more experience deep-learning algorithms get, the better they become. It should
be an extraordinary few years as the technology continues to mature.
Keep
in touch with these three terms, whenever you feel tempted, the internets has
vast amounts of information where you will find education. Our society is
becoming an integral part for tests technologies to evolve, not the other way
around.
Keep
an eye on them.
Genesis Exchange and Wallet App by
Genesis Blockchain Technologies (GBT)
@GenesisBlockch
GBT is
a powerful cryptocurrency centralized / decentralized exchange which will
include a broad range of services and benefits from cryptocurrency and
blockchain markets development, while avoiding complications and risks arising
from crytocurrency ownership, transfer, and exchange.You can Download the Genesis Exchange and Wallet App at Google
Play and on the Apple App Store.
Learn more at http://www.mygenesis.io
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