The ADAPT Centre at Trinity College Dublin has received funding to hire a start-up founder to spin-out the business start-up Darwin & Goliath http://darwingoliath.com in the field of recommendations-as-a-service. The position is to be filled with a product manager, machine-learning engineer, software engineer, or software architect. The person is expected to work together very closely with the project lead and Business Administrator. Both will be responsible for developing a recommender-system as-a-service that uses unique machine-learning technology, which is based on the research of Professor Joeran Beel who is the project lead. This position is flexible in the responsibilities and open to focus more on either software engineering / machine-learning or on the architectural and product management part.
Many a middle school science teacher has dripped a few drops of potassium iodide into hydrogen peroxide and watched the delight of their students as a volcano of foam erupted from the container. This experiment is often the way young people first learn about catalysts as something that that can induce a chemical reaction. But catalysts can make more than foam. As those young people grow into young scientists, they learn that catalysis--the acceleration of a chemical reaction by a catalyst--is a key process in the creation of just about everything. From the plastics that make up our medical equipment, to the gasoline in our cars, to the paint that colors our homes--none of these could exist without catalysts.
Avigilon Corporation, a Motorola Solutions company, presents the newest version of its video management software, Avigilon Control Center (ACC) 7.4, which incorporates artificial intelligence-powered facial recognition technology. FEATURES OF AVIGILON CONTROL CENTER (ACC) 7.4 The new "appearance alerts" capability will help commercial organizations, such as educational institutions and hospitals, accelerate response times by identifying people of interest in enterprise settings. For example, the technology can alert the security team at a local high school when a banned or flagged individual has entered the campus. People of interest are identified based on a secure, controlled watch list created and maintained by authorized users at the commercial organization. For organizations that use the new ACC software and license their Avigilon cameras for facial recognition, cameras will seek to identify potential matches based on the watch list.
Picterra, a Swiss AI-based SaaS platform allows users to interactively create a personalized AI detecting, localizing and counting any objects from satellite and aerial imagery. The company aims to democratize geospatial mapping, and its platform bridges the gap between Earth Observation (EO) imagery, cloud processing and geospatial insights by commoditizing Machine Learning technology. From precision agriculture to utilities and infrastructure, Picterra serves a wide variety of clients and provides customized services. Its main partners are geospatial and UAV mapping professionals looking to derive insights and actionable information for specific verticals based off large or heavy EO imagery set. The Picterra platform allows users to seamlessly integrate cutting edge machine learning technology into their existing workflow, so they can focus on their core business while achieving quick return on investment.
In late November, a college senior at Brigham Young University named Nick Walton published a short fable called "My Musical Troupe of Orcs Uses Music to Advance Orc Rights." In the story, written in the second person, you are a goblin. "I am a goblin!" you say proudly. "And I'm glad to be one." "Well then, congratulations," says the orc captain.
How do you compare the estimated accuracy of different machine learning algorithms effectively? In this post you will discover 8 techniques that you can use to compare machine learning algorithms in R. You can use these techniques to choose the most accurate model, and be able to comment on the statistical significance and the absolute amount it beat out other algorithms. Discover how to prepare data, fit machine learning models and evaluate their predictions in R with my new book, including 14 step-by-step tutorials, 3 projects, and full source code. Compare The Performance of Machine Learning Algorithms in R Photo by Matt Reinbold, some rights reserved.
The Elements of AI online course will be translated into all official languages of the European Union during 2020–2021. The initiative is part of Finland's Presidency of the Council of the EU and it was publicized during a meeting by European employment ministers in Brussels on 10 December 2019. The initiative is worth over 1,5 million euros. The Elements of AI online course is a creation of the University of Helsinki and Finnish technology firm Reaktor. The course is free and open to all, offering basic information on artificial intelligence without requiring previous knowledge of AI or coding.
During 2020-2021, Finland will provide European citizens with free access to an online course named'The Elements of AI'. The initiative, which aims to offer EU citizens free training in future skills, was made public in Brussels on 10 December 2019, in the margins of the meeting of the EU employment ministers. The course, already published in Finnish, English, Swedish and Estonia, will be made available in all the official EU languages soon, informed the Ministry of Economic Affairs and Employment. This initiative by the Finnish Presidency aims to respond to the challenges posed by the transformation of work and to reinforce the digital leadership of the EU. 'The Elements of AI' is a series of free online courses created by the University of Helsinki and the Finnish tech company Reaktor.
The AWS re:Invent conference announced numerous tools and services for developers in 2019. This year, the developers at AWS paid special attention to machine learning development. In this article, we list down the top announcements on machine learning services at AWS re:Invent 2019. Amazon Augmented AI or A2I provides built-in human review workflows for common machine learning use cases, such as content moderation and text extraction from documents, which allows predictions from Amazon Rekognition and Amazon Textract to be reviewed easily. This feature makes it easy for building and managing human reviews for machine learning applications.