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The Next AI Milestone: Bridging the Semantic Gap – Intuition Machine – Medium

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Contextual Adaptation -- Where systems construct contextual explanatory models for classes of real world phenomena. I write about these two in previous articles (see: "The Only Way to Make Deep Learning Interpretable is to have it Explain Itself" and "The Meta Model and Meta Meta Model of Deep Learning" DARPA's presentation nails it, by highlighting what's going on in current state-of-the-art research. Deep Learning systems have flaws analogous to our own intuitions having flaws. Just to recap, here's the roadmap that I have ( explained here): It's a Deep Learning roadmap and does not cover developments in other AI fields.


New tools aim to automate the hunt for the latest research

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With so much going on around the world, it stands to reason that a computer could be trained to do a similar task, and that's certainly the aim of Semantic Scholar, a new tool launched by The Allen Institute for Artificial Intelligence. The tool offers users a means of hunting for papers in specific fields, and then filter your search by date, publication and so on. The developers believe that Semantic Scholar stands above the likes of Google Scholar due to the smarter way in which it hunts down relevant papers. "Essentially, it allows you to track at the concept level, or the technology level, rather than the article level," the team say.


Pure Storage Announces Vision for Self-Driving Storage; Powered by Pure1 META AI Platform

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Pure Storage (NYSE: PSTG), the market's leading independent all-flash data platform vendor for the cloud era, today announced Pure1 META, it's Artificial Intelligence (AI) platform for delivering on the vision of self-driving storage. This new capability will allow customers to answer questions about new workload deployment, interaction, performance and capacity growth, and workload optimization, helping reduce risk, increase consolidation, and provide better visibility to plan for upgrades or expansions. About Pure Storage Pure Storage (NYSE:PSTG) helps companies push the boundaries of what's possible. Customers who purchase Pure Storage's product offerings should make their purchase decisions based upon products, features and functions that are currently available.


Pure Storage outlines AI engine, bevy of software updates, 75-blade all-flash system ZDNet

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Pure Storage announced a 75-blade all-flash system that operates as one unit as well as an artificial intelligence engine called Meta that aims to make storage arrays more autonomous. At Pure Storage's Accelerate customer powwow, the company outlined a bevy of software updates and features for big data, analytics and artificial intelligence workloads as well as multi-cloud management tools. Kixmoeller also noted that it's interesting that machine learning is needed to predict workloads primarily for artificial intelligence. Pure's artificial intelligence engine learns from the entire customer base to predict how workloads will turn out.


New tools aim to automate the hunt for the latest research

#artificialintelligence

With so much going on around the world, it stands to reason that a computer could be trained to do a similar task, and that's certainly the aim of Semantic Scholar, a new tool launched by The Allen Institute for Artificial Intelligence. The tool offers users a means of hunting for papers in specific fields, and then filter your search by date, publication and so on. The developers believe that Semantic Scholar stands above the likes of Google Scholar due to the smarter way in which it hunts down relevant papers. "Essentially, it allows you to track at the concept level, or the technology level, rather than the article level," the team say.


A Kaggler's Guide to Model Stacking in Practice

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Stacking (also called meta ensembling) is a model ensembling technique used to combine information from multiple predictive models to generate a new model. With R's LiblineaR package we get two hyper parameters to tune: The grid of parameter combinations we'll test is the cartesian product of the 5 listed SVM types with cost values of (.01, .1, 1, 10, 100, 1000, 2000). Unsurprisingly, the SVM does a good job at classifying Bob's throws and Sue's throws but does poorly at separating Kate's throws and Mark's throws. Effectively what we've just done is built a predictive model that predicts user_i will purchase product_x with probability based on the percent of advertised products he purchased in the past and used those predictions as a meta feature for our real model.


The Chan Zuckerberg Initiative Just Bought an Artificial Intelligence Startup--and Is Letting Anyone Use It for Free

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Mark Zuckerberg and his wife, Priscilla Chan, in 2016 founded the Chan Zuckerberg Initiative, an LLC that invests in charities and businesses that the couple believe can help the world and help cure diseases. The startup uses an AI-powered search engine that helps researchers and doctors quickly find the most relevant information in a database of science research papers. Maybe most important to helping the Initiative work toward its long-term goal: While Meta currently uses a paid subscription model, it will become free for anyone to use. Before that, Facebook open sourced FastText, its high-powered AI software that can learn 1 billion words in 10 minutes.


Zuckerberg charity buys artificial intelligence startup to battle disease

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SAN FRANCISCO: A charitable foundation backed by Mark Zuckerberg and his wife has said it has bought a Canadian artificial intelligence startup as part of a mission to eradicate disease. The Chan Zuckerberg Initiative did not disclose financial terms of the deal to acquire Toronto-based Meta, which uses AI to quickly read and comprehend scientific papers and then provide insights to researchers. Zuckerberg and his doctor wife, Priscilla Chan, in September pledged $3 billion over the next decade to help banish or manage all disease, pouring some of the Facebook founder's fortune into innovative research. "This is a big goal," Zuckerberg said at a San Francisco event announcing the effort of the philanthropic entity established by the couple in 2015.


Chan Zuckerberg Initiative acquires Canadian artificial intelligence start-up

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The Chan Zuckerberg Initiative, run by Facebook founder Mark Zuckerberg and his wife Priscilla Chan, has purchased Canadian artificial intelligence start-up Meta, which uses A.I. The start-up now joins an organization started by Zuckerberg and his wife, which in September, pledged $3 billion over the next decade in an effort to end all disease, pouring some of the Facebook founder's fortune into innovative research to meet the goal. Explaining the potential that Meta can bring, initiative science president Cori Bargmann and chief technology officer Brian Pinkerton explained in a post on the charity's Facebook page that thousands of research papers are published every day in the field of biomedicine alone. Therefore, Meta artificial intelligence can analyze insights across millions of papers to find connections and patterns at scales and speeds impossible for humans to match.


Chan Zuckerberg Initiative acquires AI startup Meta, will offer its services for free

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The Chan Zuckerberg Inititative, a philanthropic initiative from Facebook CEO Mark Zuckerberg and his wife Dr. Priscilla Chan, a pediatrician, has acquired a startup, Meta, focused on using AI and machine learning to sift through recently published scientific studies. Announced in September, the Chan Zuckerberg Initiative is a limited liability company focused on the ambitious goal to "cure, prevent, or manage all diseases by the end of the century." In a Facebook post, Cori Bargmann, President of Science, and Brian Pinkerton, Chief Technology Officer of the Chan Zuckerberg Initiative, clarified that the Initiative plans to make the tool they develop available for free. "Meta's tools can dramatically accelerate scientific progress and move us closer to our goal: to support science and technology that will make it possible to cure, prevent or manage all diseases by the end of the century.