Artificial Intelligence

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One Hundred Year Study on Artificial Intelligence, or AI100

A newly published report on the state of artificial intelligence says the field has reached a turning point where attention must be paid to the everyday applications and even abuses of AI technology

“In the past five years, AI has made the leap from something that mostly happens in research labs or other highly controlled settings to something that’s out in society affecting people’s lives,” Brown University computer scientist Michael Littman, who chaired the report panel, said in a news release.

“That’s really exciting, because this technology is doing some amazing things that we could only dream about five or ten years ago,” Littman added. “But at the same time the field is coming to grips with the societal impact of this technology, and I think the next frontier is thinking about ways we can get the benefits from AI while minimizing the risks.”

Those risks include deep-fake images and videos that are used to spread misinformation or harm people’s reputations; online bots that are used to manipulate public opinion; algorithmic bias that infects AI with all-too-human prejudices; and pattern recognition systems that can invade personal privacy by piecing together data from multiple sources.

The report says computer scientists must work more closely with experts in the social sciences, the legal system and law enforcement to reduce those risks.

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What is NLP (Natural Language Processing)?

0:00 – Intro
0:38 – Unstructured data
1:12 – Structured data
2:03 – Natural Language Understanding (NLU) & Natural Language Generation (NLG)
2:36 – Machine Translation use case
3:40 – Virtual Assistance / Chat Bots use case
4:14 – Sentiment Analysis use case
4:44 – Spam Detection use case
5:44 – Tokenization
6:18 – Stemming & Lemmatization
7:42 – Part of Speech Tagging
8:22 – Named Entity Recognition (NER)
9:08 – Summary

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Quantum Computing can revolutionize AI

Quantum computers can process complex information at a mind-boggling speed and should eventually vastly outperform even the most powerful of today’s conventional computers. This includes the rapid training of machine learning models and the creation of optimized algorithms. Years of analysis can be cut to a short time with an optimized and stable AI that is powered by quantum computing. The combined solution is expected to bring changes to the AI hardware ecosystem

Techhq.com “Why AI will be so core to real-world quantum computing”

In a report by McKinsey, quantum computers have four fundamental capabilities that differentiate them from today’s classical computers: quantum simulation, in which quantum computers model complex molecules; optimization (that is, solving multivariable problems with unprecedented speed); quantum artificial intelligence (AI), utilizes better algorithms that could transform machine learning across industries as diverse as pharma and automotive; and prime factorization, which could revolutionize encryption.

Techhq.com “Why AI will be so core to real-world quantum computing”

For more information, do take a look at Why AI will be so core to real-world quantum computing

Images Taken from https://sociable.co/technology/could-quantum-computing-and-exotic-materials-facilitate-ai-human-cyborgs/