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) …
We are living in exciting and innovative times with futuristic technology literally at our fingertips. But for the longest time, small to medium sized businesses were not serviced by the latest tech trends enterprises have been able to benefit from. In this article, we'll explore these technology trends and how they will impact business in 2018 and beyond. So, what kind of things can this'smart' tech do? Just 4 months ago, an AI machine managed to complete a University level math exam 12 times faster than it normally takes the average human.
The young companies were all selected for their potential to become leaders, based on founder experience, investment history, growth and general "buzz." The remaining 11 companies on the list fell in a variety of verticals, including drones, fintech, education, healthcare and business software. The three dominant technology fields occupy unique market maturities relative to one another. In the wake of major breaches and increased threats, cybersecurity has emerged as one of the top priorities for business leaders. An overloaded marketplace filled with too many vendors makes it difficult for companies to stand out and customers to choose an offering.
When pianists play a musical piece on a piano, their body reacts to the music. Their fingers strike piano keys to create music. They move their arms to play on different octaves. Violin players draw the bow with one hand across the strings and touch lightly or pluck the strings with the other hand's fingers. Faster bowing produces a faster music pace.
In this session, we will explore how to build, select and deploy accurate predictive models on your Cloudera environment, by leveraging the power of the world's leading Automated Machine Learning platform: DataRobot. Andre Balleyguier, Chief Data Scientist EMEA at DataRobot, will demonstrate how to deliver an end-to-end Machine Learning project, from business problem to model deployment. We will start from a dataset stored on Hadoop, then create a workflow to train, analyse and deploy dozens of models by leveraging the scalability of Apache Spark distributed computing as well as various open-sources tools (XGBoost, Tensorflow, Python, R, ...), within DataRobot's intuitive user interface. DataRobot seamlessly integrates with the Cloudera Enterprise Platform and YARN; it enables business analysts, engineers and data scientists at various skills levels to deliver AI projects on Hadoop at scale, in a fraction of the time it takes with standard tools.
AI-as-a-service (AIaaS) is becoming increasingly popular, with the likes of Amazon AI (which includes Rekognition), Clarifai, Google Cloud Vision, IBM Watson, and Microsoft Cognitive Services gaining traction. One of the main economic drivers within AIaaS is the prevalence of microtransactions. Visual cognition startup CloudSight has announced that it will now support Bitcoin Lightning payments, accepting microtransactions to gather and share visual knowledge to allow AI to learn from AI. CloudSight utilizes data to train deep learning neural networks to automatically caption images. With a database of over half a billion images and all the associated metadata, CloudSight says its image recognition API is one of over 30 patents pending worldwide. The incorporation of Bitcoin Lightning means that microtransactions between devices can happen at great speed, unlocking an exchange of information that was previously difficult.
"We have the opportunity in this election in Brazil for the first time, here and around the world, to be very prepared to deal with the pitfalls of technology, such as fake news, social bots and macro-targets," said Rodrigo Helcer, CEO of Stilingue, a technology company specialized in artificial intelligence, during the talk "AI and Elections in Brazil" at the Path Festival in S--o Paulo. Stilingue was created to monitor social media posts and the media in Portuguese using artificial intelligence (AI). During the elections, marketing and advertising companies will use Stilingue technology to promote candidates and to help manage politicians' reputations. "AI brings politics closer to voters. Voters will be listened to, more protected and closer to their candidates," Helcer said.
You Only Look Once (YOLO) is an object detection system. It applies a single neural network to the full image. This network divides the image into regions and predicts bounding boxes and probabilities for each region. These bounding boxes are weighted by the predicted probabilities. YOLO makes predictions with a single network evaluation, which makes it extremely fast.
Google is probably one of the most active tech giants when it comes to Artificial Intelligence. In their most recent I/O, they probably demonstrated how to nail down a turing test. For those who missed it, here's a sneak peek: If such disruptive and moot evolution in Artificial Intelligence are not an effort towards enhancing mobile experiences then I don't know what is. With the change in consumer lifestyles and an escalating preference towards mobile devices, virtually all web applications are following the mobile first approach. Consumer behavior has evolved to an extent that more time is spent on mobile phones as compared to televisions or desktops.
Machine Learning (ML), along with the Internet of Things (IoT) seems to be the next big revolution in science and technology. AI experts are debating why machine learning is the most wondrous thing, today. They are trying to predict the way ML can affect the future and its evolution. The ability to feed the machine with big amounts of data, so that the machine can learn concepts and rules to focus on specific categories of problems and solutions, is a critical part of AI development. In 1959, the term'machine learning' was coined by Arthur Samuel, an AI professional.
WATERLOO – An exciting wave of tech industry investment is set to make Kitchener-Waterloo the Canadian hub of creating an uncontrollable line of code that goes on to wreak incalculable economic and human damage. "AI is the future, and it's important for Canada to be part of that future," said Prime Minister Trudeau. "Even if that future includes the complete destruction of all life on earth." While some experts worry that the increasing integration of tech into the realms of economics, policing, personal finance, transit, health, and parenting, exponentially increases the ability of rogue code to create human suffering, other experts are paid a lot to design it, and say that things will'probably be fine'. "On our current course, it's inevitable that some country will invent a piece of AI with the power to destroy the world in the next 20 years," said Trudeau.