Denny Britz studied Computer Science at Stanford University and UC Berkeley. He started WildML to share his excitement about Deep Learning. He is still learning, but found that writing posts and tutorials is the perhaps best way to deepen his own understanding. Topics he is currently excited about are NLP and Reinforcement Learning, so these will account for most of the posts on here. This will be added to Artificial Intelligence Resources Subject Tracer™.
Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. This website is intended to host a variety of resources and pointers to information about Deep Learning. In these pages you will find: a) a reading list; b) links to software; c) datasets; d) a list of deep learning research groups and labs; e) a list of announcements for deep learning related jobs (job listings); f) as well as tutorials and cool demos; and g) announcements and news about deep learning. For the latest additions, including papers and software announcement, be sure to visit the Blog section and subscribe to their RSS feed of the website. This will be added to Artificial Intelligence Resources Subject Tracer™.
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™.
Artificial Intelligence that guides smart financial decisions at 1/20th the cost of a human advisor. Smart technology that knows your priorities, learns from you, and guides you to the best decisions. From taxes to daycare costs in your neighborhood, we take care of every detail that matters. At your service 24/7. No meetings. No sales pitches. Unbiased and on your side. Smart technology monitors the markets, your balances, tax rules, and more – 24/7 – making sure you are always on track. Understand how much to invest and what investments are right for you. They build a portfolio that’s perfectly aligned to your life today and your upcoming priorities. Neural networks stay on top of everything – the markets, federal and state tax code, inflation, property taxes in your area, mortgage and insurance rates, even daycare costs in your area – on average we monitor over 2 million data points for you. Machine learning algorithms figure out the best financial decisions for you – How early can you retire? Which home can you afford? And, what investment portfolio is ideal for you? Decisions are transparent and never biased. Pefin adapts and learns from you and recalibrates your financial plans looking at what you said you would do and what is actually going on. This will be added to Financial Sources Subject Tracer™. This will be added to Financial Sources for the Family Office 2016
The April 2016 Zillman Column features Artificial Intelligence Resources 2016 by Marcus P. Zillman, M.S., A.M.H.A.; Executive Director of the Virtual Private Library. This column is an extremely comprehensive listing of selected competency based artificial intelligence and deep learning resources, directories, tutorial subject guides and index resources and sites available on the Internet. Download this excellent freely available 23 page 220KB pdf column today. This is another MUST have column to discover artificial intelligence (AI) and deep learning resources in today’s ever changing New Economy world!! AI and Singularity are beginning to happen and will affect every aspect of our lives both online and offline!! Understanding and education is the key for positive acceptance!!
The University of Cambridge is launching a new research centre, thanks to a £10 million grant from the Leverhulme Trust, to explore the opportunities and challenges to humanity from the development of artificial intelligence. This will be added to Artificial Intelligence Resources Subject Tracer™.
Motion AI is an end-to-end solution for building, deploying and supporting AI robots. While there are many developer-oriented AI services out there, they tend to focus on one area of AI. They support every layer of the process, including: a) Telecommunications (providing you the gateway for SMS, email, etc); b) Natural Language Processing; c) Deep Learning for “on the job” AI training; d) Conversation flow design; e) Callbacks and hooks to your endpoints; f) Analytics; and g) 3rd party integration points (like Stripe, for accepting payments through AI). Without Motion AI, a team would have to integrate with dozens of separate services just to get started. It’s not typically cost-effective or reasonable for a non-AI company to integrate with AI in the current landscape, and they want to help change that. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Bot Research Subject Tracer™.
Aristo is a system that acquires and stores a vast amount of knowledge in computable form, then applies this knowledge to answer a variety of science questions from standardized exams for students in multiple grade levels. Key elements: a) Natural language parsing and processing of a variety of knowledge sources into a structured, computable knowledge base; b) Question understanding; transforming questions, diagrams, and answer options from exams into computable input; c) Integration with diagram processing systems to go beyond text to successfully understand exam questions; and d) An array of solvers using various statistical and inference techniques to either select or generate the correct answer. Aristo works as follows: 1) Knowledge Extraction – Facts are extracted from various sources and processed into a structured knowledge base; 2) Question Understanding – Questions are parsed and processed along with their accompanying diagrams to best determine a strategy for answering; and 3) Providing Answers – Aristo’s solvers use entailment, statistical analysis, and inference methods to produce the right answer. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Web Data Extractors white paper. This will be added to Internet Expert Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™.
With millions of research papers published every year, there is a huge information overload in scientific literature search. Semantic Scholar leverages our AI expertise to help researchers find the most relevant information efficiently. We utilize methods from data mining, natural-language processing, and computer vision to create powerful new search and discovery experiences. Starting with Computer Science in 2015, we plan to scale the service to additional scientific areas over the next few years in support of AI2’s mission of “AI for the Common Good”. Semantic Scholar features: a) Ability to provide an overview or quickly find the most relevant survey papers for a topic; b) Filtering search results using automatically generated facets like authors and venues; c) Identifying “key” citations to overcome citation overload; d) Extracting and making figures and captions more easily accessible; and e) Identifying and presenting useful concepts and their relationships. How Semantic Scholar works: 1) PDF Extraction – State of the art PDF extraction mechanisms specifically targeted to scholarly articles; 2) Targeted Search Index – For serving relevant results for queries specific to the academic domain; and 3) Customized GUI – A user interface tailored to academic search with features supporting the academic community. This will be added to Academic and Scholar Search Engines and Sources white paper. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Web Data Extractors white paper. This will be added to Internet Expert 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™ Information Blog.
AI2 was founded in 2014 with the singular focus of conducting high-impact research and engineering in the field of artificial intelligence, all for the common good. AI2 is the creation of Paul Allen, Microsoft co-founder, and is led by Dr. Oren Etzioni, a world-renowned researcher and professor in the field of AI and computer science. Situated on the shores of Lake Washington, AI2 employs over 35 of the world’s best scientific talent in the field of AI, attracting individuals of varied interests and backgrounds from across the globe. AI2 prides itself on the diversity and collaboration of this team, and takes a results-oriented approach to complex challenges in AI. AI2 has undertaken four main projects, Aristo, Semantic Scholar, Euclid and Plato to drive fundamental advances in science and medicine through AI. This has been added to Artificial Intelligence Resources Subject Tracer™.