If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
People that worked with me on this episode; Doki Tops of Utomik.com and Cris Reed of The Level Up Experience. Quick word; The games industry is doing realy well during this lockdown. All good, but lets make sure that we, as an industry, will also look after people that are being hurt, financially, physically and emotionally. It is our audience(s) that is under pressure by COVID–19, the corona virus. Let's make sure we also do our part to make the world healty and secure again!
Not only does this provide useful information to users in the moment, but it has also helped raise awareness and increase the adoption of Lexikon. Since launching the Lexikon Slack Bot, we've seen a sustained 25% increase in the number of Lexikon links shared on Slack per week. You just listened to a track by a new artist on your Discover Weekly and you're hooked. You want to hear more and learn about the artist. So, you go to the artist page on Spotify where you can check out the most popular tracks across different albums, read an artist bio, check out playlists where people tend to discover the artist, and explore similar artists.
Diseases know no borders and the threat of an epidemic is ever increasing with the number of all kinds of outbreaks tripling over the last forty years. While addressing a pandemic, experts usually want to know the following things about the disease: i) How quickly is it spreading? Since the first report of coronavirus (COVID-19) in Wuhan, China, it has spread to at least 100 other countries. Companies like Alibaba, Baidu, and Huawei accelerated their healthcare initiatives. Tech start-ups are getting more involved integrally with clinicians, academics and government entities around the world to activate technology against the fast-spreading pandemic.
AI4ALL Open Learning is a free program which community-based organisations, as well as teachers, can use the resource to educate the community and high-school students about Artificial Intelligence. Recently, AI4ALL announced a new module which high school teachers with a free online lesson to engage students around AI's role in the current crisis. In the program, the ExploreAI curriculum can be implemented in 10, 20 or 30 hrs. The reason behind this program is to support the community by sharing relevant, free curriculum and teaching resources. AI4All is trying every possible way to ensure the best to serve all people in the work to increase diversity and inclusion in artificial intelligence.
This is the first part of a series by Levon Paradzhanyan that demystifies data science, machine learning, deep learning, and artificial intelligence down while explaining how they all tie into one another. Artificial Intelligence emerged in our lives many years ago. First, as science fiction and today embedded in real products. It has since been followed by newer buzzwords such as data science, machine learning, and deep learning. Yet there are many misconceptions related to these terms.
TensorFlow 2 made the machine learning framework far easier to use, still retaining its flexibility to build its models. One of its new features is building new layers through integrated Keras API and easily debugging this API with the usage of eager-execution. In this article, you will learn how to build custom neural network layers in TensorFlow 2 framework. Writing this article I assume you have a basic understanding of object-oriented programming in Python 3. The best would be if you review __init__, __call__, class inheritance and method overriding before reading this article. Let's start from a template, based on it you will build most of your layers.
Alan Turing (1912-1954) was one of the first thinkers to take the concept of artificial intelligence ... [ ] seriously. His pioneering work laid the foundation for the fields of digital computing and AI as we know them today. In the most direct sense, artificial intelligence is an engineering challenge. The mathematics underlying today's cutting-edge AI algorithms is complex. The amount of computing resources required to train state-of-the-art AI models is formidable.
The European Commission has recognized the potential of Artificial Intelligence (AI), not only from a technical perspective but also and foremost for its potential role as enabler in the achievement of the Sustainable Developments Goals and in the European Green Deal objectives. NGIoT is holding a webinar to consider and discuss AI deployment. The aims of the webinar are to understand the main issues arising from the data protection framework, and to address issues of trust needed to use and share knowledge when talking about AI technologies. All who are interested (or just curious) are encouraged to participate and engage to better understand the state of play of AI, and to contribute ideas to reinforce a progressive view in the European dimension.