Posts by Category: Artificial Intelligence Resources

Sciensio – AI Specific Events Chatbots

August 10, 2018

Sciensio – AI Specific Events Chatbots
https://www.sciensio.com/eventbots

EventBots are artificial intelligence (AI) chatbots that help participants get information about your specific event over text, anytime, anywhere, without the need to download a new app. Features include: 1) Increase Efficiency – EventBots respond exactly the way you want, every time, to thousands of questions simultaneously. Your staff and volunteers have more time to help attendees achieve their goals; 2) Connect Immediately – Participants receive a text message and connect by sending questions to the same number. Easily segment and notify attendees of important announcements, changes, or instructions; and 3) SURPRISE & DELIGHT – Attendees love the conversational style and efficiency of chatting with EventBots. Our AI Interaction Designers use the principles of intuitive UX, the power of AI, and the strength of concise conversational writing. This will be added to ChatterBots Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Hendrix – The No-Brainer Way To Have More Effective Meetings

August 09, 2018

Hendrix – The No-Brainer Way To Have More Effective Meetings
https://hendrix.ai/

Hendrix is an AI assistant that helps teams take meeting minutes, create summaries, and easily record action items. So everyone can focus on participating, instead of note-taking. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™

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30 Free Resources for Machine Learning, Deep Learning, NLP and AI

August 04, 2018

30 Free Resources for Machine Learning, Deep Learning, NLP and AI
https://www.kdnuggets.com/2018/06/30-free-resources-machine-learning-deep-learning-nlp-ai.html

Check out this collection of 30 ML, DL, NLP & AI resources for beginners, starting from zero and slowly progressing to the point that readers should have an idea of where to go next. This is a collection of free resources beyond the regularly shared books, MOOCs, and courses, mostly from over the past year. They start from zero and progress accordingly, and are suitable for individuals looking to pick up some of the basic ideas, before hopefully branching out further (see the final 2 resources listed below for more on that). These resources are not presented in any particular order, so feel free to pursue those which look most enticing to you. All credit goes the the individual authors of the respective materials, without whose hard work we would not have the benefit of learning from such great content. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Keras: The Python Deep Learning Library

August 02, 2018

Keras: The Python Deep Learning Library
https://keras.io/

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. Use Keras if you need a deep learning library that: a) Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility); b) Supports both convolutional networks and recurrent networks, as well as combinations of the two; and c) Runs seamlessly on CPU and GPU. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Digital Leaders – Leadership in a Digital Age

July 27, 2018

Digital Leaders – Leadership in a Digital Age
https://digileaders.com/

Digital Leaders is a global initiative that has created a shared professional space for senior leadership from different sectors promoting effective, long-term digital transformation. Our community of over 100,000 senior leaders are involved in leveraging technology to promote economic growth, increase social well-being and narrow social gaps. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Bot Research Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Comet – Supercharge Machine Learning

July 27, 2018

Comet – Supercharge Machine Learning
https://www.comet.ml/

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects. Comet works with existing ML libraries and has built-in team collaboration. Comet gives you peace of mind that your experiments, models, and results are saved & secure. Even if team members leave. Comet allows managers and team leads to gain visibility towards team members’ experiments, results and progress. Comet allows you to share projects with other data scientists. Collaborators can comment or contribute with new experiments. Features include: 1) Get started in 30 seconds – Throw a single line into your training code and start tracking. Works on any machine with any kind of model; 2) Compare Experiments – Comet lets you compare different experiments and see the differences in code, hyper-params, and many other data points; 3) Collaborate – Share projects (multiple experiments on the same task) with colleagues. Managers gain visibility and insights into their team performance; 4) Documentation – Each project and each experiment has a Notes section that allows you to add documentation; and 5) Git Integration – Comet works with Github and other git providers. Once you finalize your experimentation you can automatically generate a pull request with the best model to your Github repository. Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Bot Research Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Postfire – AI Powered Social Media Assistant

July 14, 2018

Postfire – AI Powered Social Media Assistant
https://postfire.co/

Humans and AI working together to 3x your growth. Postfire automatically takes new content from your blog and generates multiple high-performing headlines & hashtags. It also determines a posting schedule for optimal reach and builds your Buffer queue every week – just set and forget. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Bot Research Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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DAOstack – Toolskit for Exponential Organizations

July 03, 2018

DAOstack – Toolskit for Exponential Organizations
https://daostack.io/

DAOstack powers decentralized companies, funds and markets to make fast and innovative decisions at scale. Features include: a) Blockchain governance – Decentralized governance based on Ethereum smart contracts enables faultless execution of crowd decisions; b) Programmatic cooperation – Crypto-economic incentive design at the individual level empowers frictionless cooperation at the collective level; and c) Holographic consensus – Effective decision-making is possible with edge decisions guaranteed to be coherent with the will of the greater majority. This will be added to DAO Resources Subject Tracer™. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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DL4J Deep Learning for Java – Open-Source Distributed Deep Learning Library for JVM

July 02, 2018

DL4J Deep Learning for Java – Open-Source Distributed Deep Learning Library for JVM
https://deeplearning4j.org/

Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. Skymind is its commercial support arm, bundling Deeplearning4j and other libraries such as Tensorflow and Keras in the Skymind Intelligence Layer (Community Edition), a deep learning environment that gives developers an easy, fast way to train and deploy AI models. SKIL CE is free and downloadable here. SKIL acts as a bridge between Python data science environments and the JVM. Deeplearning4j aims to be cutting-edge plug and play, more convention than configuration, which allows for fast prototyping for data scientists, machine-learning practitioners and software engineers. DL4J is customizable at scale. Released under the Apache 2.0 license, all derivatives of DL4J belong to their authors. DL4J can import neural net models from most major frameworks via Keras, including TensorFlow, Caffe and Theano, bridging the gap between the Python ecosystem and the JVM with a cross-team toolkit for data scientists, data engineers and DevOps. Keras is Deeplearning4j’s Python API. Skymind is the second-largest contributor to Keras after Google, and offers commercial support for Keras. Machine learning models are served in production with Skymind’s machine learning server. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Caffe – Deep Learning Framework

July 02, 2018

Caffe – Deep Learning Framework
http://caffe.berkeleyvision.org/

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU*. That’s 1 ms/image for inference and 4 ms/image for learning and more recent library versions and hardware are faster still. We believe that Caffe is among the fastest convnet implementations available. Community: Caffe already powers academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia. Join our community of brewers on the caffe-users group and Github. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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