Natural language processing allows computers to understand human language. It has plenty of applications. For example:
Text summarization, translation, keyword generation, sentiment analysis or chat bots.

So how it works? Let’s take a closer look at it.

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Some sources & further reading:
http://www.mind.ilstu.edu/curriculum/protothinker/natural_language_processing.php
https://nlp.stanford.edu/
https://research.google.com/pubs/NaturalLanguageProcessing.html
https://en.wikipedia.org/wiki/Natural_language_processing
https://en.wikipedia.org/wiki/Natural_language_understanding
https://en.wikipedia.org/wiki/Natural_language_generation
https://en.wikipedia.org/wiki/Tokenization_(lexical_analysis)
https://en.wikipedia.org/wiki/Syntax
https://en.wikipedia.org/wiki/Parsing
https://en.wikipedia.org/wiki/Context-free_grammar
https://en.wikipedia.org/wiki/Semantics
https://en.wikipedia.org/wiki/Pragmatics
https://en.wikipedia.org/wiki/Sentiment_analysis

Full episode with Joscha Bach (Jun 2020): https://www.youtube.com/watch?v=P-2P3MSZrBM
Clips channel (Lex Clips): https://www.youtube.com/lexclips
Main channel (Lex Fridman): https://www.youtube.com/lexfridman
(more links below)

Podcast full episodes playlist:
https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4

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Joscha Bach, VP of Research at the AI Foundation, previously doing research at MIT and Harvard. Joscha work explores the workings of the human mind, intelligence, consciousness, life on Earth, and the possibly-simulated fabric of our universe.

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Inaugural AI Research Week, hosted by the MIT-IBM Watson AI Lab. Yoshua Bengio, full professor and head of the Montreal Institute for Learning Algorithms (MILA), University of Montreal, presents research on learning to understand language.

Keynote Speaker
Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA)

Introduction by Lisa Amini, Lab Director, IBM Research Cambridge

Whom should we believe? Those who tell us that AI is one of the most important things humanity is working on? Or get scared that AI is makes things worse? The debate cannot be solved in the abstract: we need evidence. But unfortunately, the kind of data usually used to answer the big questions does not inspire confidence. There is never a shortage of compelling anecdotes. it is always possible to find at least one to support any position. Talking about the problems of the world without talking about some accessible solutions is the way to paralysis rather than progress.
We have learned to harness fire for the benefits of humanity, but we had to overcome its downsides too. So, my point is, AI is important, but we must be concerned about it. In this talk I will not tell you whether AI is good or bad for humans, but I will make my point on how we can leverage AI for the benefit of Humans and how we can tame the future of AI by infusing in it a conscious Moral

5 ways: ways in which we can create an AI that uses its Intelligence to Learn what Humans value

– Embrace it to steer It
– Explicitly defining Ethical Behaviour
– Bring Transparency to AI systems
– Bridging the gap between system 1 and system 2
– Accountability – organizational /Group Vinay Singh is Data Science Manager at BASF SE, Germany, responsible for driving Artificial Intelligence and Machine Learning Topics. He is visiting research fellow at Department of Management Studies at National Central University of Taiwan and authored a couple of books related to Analytics ( Real-Time Analytics with SAP HANA; Manage your SAP project with SAP Activate; Creating and Using Advanced DSOs in SAP BW on SAP HANA; SAPBusiness Intelligence Essentials – Quick Guide ). He is one of the co-founders of ManiaVarsity. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

Prof. Emily Mower Provost (Computer Science & Engineering, University of Michigan) talks at the Michigan AI Symposium 2018.

Joscha Bach is one of those rare people whose primary motivation is unbound curiosity and inspiration. He clearly loves what he does and you can’t help but notice his radiating passion and youthful exuberance. Joscha has an impressively wide and deep knowledge in a variety of scientific, philosophical and artistic disciplines and I had to do my best just to keep up with Bach’s brilliant fast-paced mind and stream of consciousness. I enjoyed our conversation immensely and hope you love it too.

During our 130-minute interview with Joscha Bach, we cover a variety of interesting topics such as: the space between academia and professorship; if organisms are algorithms, philosophy, and ethics; growing up in East Germany; science, art, evolution and the meaning of life; mathematics, computing and the limits thereof; the usefulness of useless knowledge; climate change and “the demise of humanity;” artificial intelligence and consciousness; why we are stories in a movie that the brain is creating, the difference between scholars and scientists…

Just some of my favorite quotes from Joscha Bach are:

“If you take this as a computer game metaphor, this is like the best level for humanity to play. And this best level happens to be the last level for humanity to play, as it happens against the backdrop of a dying world. But it’s still the best level.”

“Intelligence is the ability to make models. What is a model? A model is something that explains information. Information is discernable differences at your systemic interface. And the meaning of information is the relationships you discover to changes in other information.”

“Some people think that a simulation can’t be conscious and only a physical system can. But they got it completely backward: a physical system cannot be conscious only a simulation can be conscious. Consciousness is a simulated property of the simulated self.”

“The practice of AI is in a way statistics on steroids. It’s experimental statistics. It’s identifying new functions to model reality.”

Joscha Bach: We need to understand the nature of AI to understand who we are

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