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) …
AI, machine learning, cloud, self-service, data governance, etc…there is no shortage of buzzwords in data today. Every organization is seeking to outpace their competition by leveraging data to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available datasets and algorithms. How do you stay ahead of what's next and help drive the successful adoption of new technology and processes within your organization?
An AI application needs lots of data. And that data can come from a variety of sources and in a wide range of formats. True, some AI applications require less data than others, but you must still factor in capacity and scalability requirements. Be sure to consider the need to copy, move, aggregate or in other ways manipulate and process the data. All this storage can represent a significant investment, whether in data center systems or cloud-based services.
Last year marked the 50th anniversary of Stanley Kubrick's space-race era epic, "2001: A Space Odyssey", prompting several outlets to do side-by-side comparisons on how the film's depiction of digital technologies matched up against what we really had around the turn of the century. Of course, no one can do this without mentioning the film's central antagonist, HAL 9000, a sentient computer who interacts with the doomed characters through a verbal interface, reminiscent of the way that contemporary users deploy Amazon's Alexa to order pizza. So, while some might point to this similarity as proof of Kubrick's intuition, the reality is that we have been pushing towards zero U/I, or interfaces that do not rely on screens, for decades. The concept of zero U/I was first defined by then Fjord Design Director, now frog Creative Director, Andy Goodman, during a 2015 speech at San Francisco's Solid Conference. He describes it as a natural approach to user-interface interactions, which abandons the abruptness of the screen in favor of a more natural environment, through which users can communicate with devices using speech, motion, and even thought.
Elon Musk is the CEO of Tesla, SpaceX, Neuralink, and a co-founder of several other companies. This is the second time Elon has been on the podcast. This conversation focuses on the incredible engineering and innovation done at Neuralink. This work promises to help treat neurobiological diseases, to help us further understand the connection between the individual neuron to the high-level function of the human brain, and finally to one day expand the capacity of the brain through two-way communication with computational devices, the Internet, and artificial intelligence systems. This conversation is part of the Artificial Intelligence podcast.
The graph represents a network of 3,656 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 November 2019 at 02:34 UTC. The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 2-day, 20-hour, 40-minute period from Friday, 08 November 2019 at 04:20 UTC to Monday, 11 November 2019 at 01:01 UTC.
Lunit, a leading medical AI software company devoted to providing AI-powered total cancer care, will be returning to the 105th Radiological Society of North America (RSNA) this year with the latest, up-to-date AI solutions for chest and breast radiology. The state-of-the-art software--Lunit INSIGHT CXR 3 and Lunit INSIGHT MMG--will be available for demonstration at the Lunit booth located on AI Showcase floor, #10732. During RSNA 2019, Lunit will present key clinical study results conducted to validate the specific clinical utility of its products, along with other abstracts that study AI-driven mammography & DBT, and AI-based detection of chest abnormalities such as pneumothorax and tuberculosis. Lunit is one of the few companies in the industry that highlights evidence-based studies and publications. Lunit INSIGHT CXR and Lunit INSIGHT MMG, Lunit's most mature products tested on more than 3 million images from over 80 countries combined, will also be presented for demo.
Are you looking for fast deep learning modeling? If so, Keras is going to be your natural choice. But there are so many deep learning frameworks available today, and the list is growing very fast--why choose Keras? Keras has the capability and resources to run on top of popular deep learning libraries like TensorFlow, Theano, or CNTK. It also offers a relatively simple API that manages to also offer a lot of flexibility.
In order to include categorical features in your Machine Learning model, you have to encode them numerically using "dummy" or "one-hot" encoding. But how do you do this correctly using scikit-learn? In this video, you'll learn how to use OneHotEncoder and ColumnTransformer to encode your categorical features and prepare your feature matrix in a single step. You'll also learn how to include this step within a Pipeline so that you can cross-validate your model and preprocessing steps simultaneously. Finally, you'll learn why you should use scikit-learn (rather than pandas) for preprocessing your dataset.
Virtual reality (VR), artificial intelligence (AI), and robot technologies are evolving quickly and impacting the facilities management industry. In this article, we take a look at the ways that effective facilities management teams can adopt these cutting edge technologies. Virtual reality is quickly becoming commonplace in our society, with new enterprise and consumer applications being developed at a feverish pace. Even tech giants like Facebook, Google and Samsung have entered the VR market with their own consumer grade devices. So far, the technology has centered around immersive experiences for entertainment like video games and movies, but we're now seeing VR used in healthcare, engineering, and other non-consumer based industries.