WolframAlpha
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Wolfram|Alpha is a computational knowledge engine that generates outputs by performing computations using its internal knowledge base rather than searching the web and returning links. It contains over 10 trillion pieces of data across 50,000 algorithms and models and can understand queries in 1,000 domains. Unlike search engines like Google that return long lists of search results, Wolfram|Alpha provides structured responses derived from curated sources to answer queries directly.
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Wolfram alpha A Computational Knowledge Engine Interesting Technology
WolframAlpha is a computational knowledge engine that answers factual queries directly by computing answers from its curated database rather than searching the web. It was launched in 2009 and developed using over 15 million lines of Mathematica code. WolframAlpha organizes its data using four technological pillars: curation of data sources, formalization of knowledge, natural language processing of queries, and visualization of answers.
Wolfram alpha presentation
Wolfram Alpha is a computational knowledge engine developed by Stephen Wolfram that was released in 2009. It answers factual queries by computing answers from curated external data sources. The technology behind Wolfram Alpha includes over 15 million lines of code and datasets accumulated over several years that have been checked by scientists and experts. Wolfram Alpha can answer a wide range of questions by computing the responses.
Wolfram alpha
Wolfram Alpha (also styled Wolfram Alpha and Wolfram Alpha) is a computational knowledge engine or answer engine developed by Wolfram Research. It is an online service that answers factual queries directly by computing the answer from externally sourced "curated data", rather than providing a list of documents or web pages that might contain the answer as a search engine might.
Wolphram Alpha
Wolfram Alpha is an online computational knowledge engine created by Wolfram Research. It utilizes four technological pillars: data curation, formalization of knowledge into computable algorithms and models, natural language processing to understand queries, and visualization of results. The system contains over 10 trillion pieces of curated data and 50,000 algorithms that can be accessed through natural language or computational queries to provide precise, contextual answers from its structured database in text, images, or sounds.
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Wolfram alpha A Computational Knowledge Engine Interesting Technology
WolframAlpha is a computational knowledge engine that answers factual queries directly by computing answers from its curated database rather than searching the web. It was launched in 2009 and developed using over 15 million lines of Mathematica code. WolframAlpha organizes its data using four technological pillars: curation of data sources, formalization of knowledge, natural language processing of queries, and visualization of answers.
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Wolfram Alpha is a computational knowledge engine developed by Stephen Wolfram that was released in 2009. It answers factual queries by computing answers from curated external data sources. The technology behind Wolfram Alpha includes over 15 million lines of code and datasets accumulated over several years that have been checked by scientists and experts. Wolfram Alpha can answer a wide range of questions by computing the responses.
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IBM Watson
This document provides an overview of IBM Watson including:
- A brief history of Watson and how it defeated human opponents on Jeopardy in 2011.
- Technical specifications of Watson including its architecture using 90 IBM Power 750 servers with 2,880 POWER7 processor threads and 16 terabytes of RAM.
- Key technologies that Watson utilizes including Apache UIMA, Hadoop, and DeepQA for natural language processing and question answering.
- Commercial applications of Watson that have been developed for industries like healthcare, finance, and customer service.
- Related cognitive computing technologies like Microsoft Azure Machine Learning and HPE HAVEn OnDemand.
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Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
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SCONUL Summer Conference 2019 - Svein Arne Brygfjeld
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An Introduction to the AI services at AWS - AWS Summit Tel Aviv 2017
Artificial Intelligence (AI) services on the AWS cloud bring deep learning (DL) technologies like natural language understanding (NLU), automatic speech recognition (ASR), image recognition and computer vision (CV), text-to-speech (TTS), and machine learning (ML) within reach of every developer. In this session, you will be introduced to several new AI services: Amazon Lex, to build sophisticated text and voice chatbots; Amazon Rekognition, for deep learning-based image recognition; and Amazon Polly, for turning text into lifelike speech. The opportunities to apply one or more of these DL services are nearly boundless and this session will provide a number of examples and use cases to help you get started.
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WolframAlpha
- 4. “It generates output by doing computations from its own internal knowledge base, instead of searching the web and returning links.”
- 5. “Wolfram|Alpha's long-term goal is to make all systematic knowledge immediately computable and accessible to everyone.”
- 6. • Contains 10+ trillion pieces of data • 50,000 types of algorithms and models • Linguistic capabilities for 1000+ domains
- 7. How’s it different from... ?
- 8. vs.
- 9. Google scrapes and indexes all information on the web. S Web OG Pages BL Micro- BLOGS PDFs
- 10. You then get a really long list of search results.
- 11. You have to sort through all of it. That takes time. Oh hell no!
- 12. As an example, let’s search for the word “dog” DOG
- 13. Over 382 million results for WOOF!
- 14. vs.
- 15. WolframAlpha gets all their data from several trusted databases, the primary one being their own... Wolfram Mathematica
- 16. What is Mathematica? • Computational software program • Started over 20 years ago by Wolfram • Proprietary software • Used by Fortune 500, government departments, universities, many others • Used by all of the Fortune 50 companies in various industries • Aerospace • Economics • Statistics • Chemistry • Web development • Astronomy • Biological sciences
- 17. Essentially...Mathematica is database that feeds WolframAlpha Wolfram Mathematica WolframAlpha Computational Knowledge Engine
- 18. Instead of giving you long lists of search results, like Google... WolframAlpha provide results from curated and structured data constantly being collected
- 19. Primary Source Mathematica Wikipedia Alexa.com Background Sources & U.N. Data References U.S. Census Bureau World Health Organization Encyclopedia Britannica Office of Travel & Tourism
- 20. Now, let’s search for the word “dog” DOG
- 22. Let’s try some searches
- 23. Mobile Apps iPad iPhone Android
- 24. QUESTIONS