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) …
Robot vacuum pioneer iRobot has big plans in the works. From new Roombas that clean themselves to smart vacuums that communicate with floor-mopping machines, and even robotic lawn mowers, iRobot has been busy. But while these sophisticated home care systems sound impressive, even useful, they suffer from one glaring downside. They are all staggeringly expensive. This move by iRobot is no accident.
If there is anything every business leader in the world can agree on – let's face it, there's not a lot – it is that Artificial Intelligence (AI) is about to have an indescribable impact that will change the way business looks. Among the areas, it is set to revolutionize marketing entirely. In 2018, we saw the marketing landscape change as AI adoption was fueled by growing customer expectations. The demand for one-to-one personalized interactions with brands has influenced the way marketers communicate with their customers. Most notably, it has forced the marketers to turn to AI to not only supplement but also to enhance their marketing strategies and beat out the competition.
Good Features are the backbone of any machine learning model. And good feature creation often needs domain knowledge, creativity, and lots of time. TLDR; this post is about useful feature engineering methods and tricks that I have learned and end up using often. Have you read about featuretools yet? If not, then you are going to be delighted.
We've all read the news and heard the scaremongering stories around potential flaws and biases in Artificial Intelligence (AI) systems. Despite the scepticism, businesses are undoubtedly using the technology to streamline work processes, automate timely tasks, and completely reimagine the way individuals work altogether. But to truly harness the potential of AI, we need to move past the speculation and foster a workforce that unites the power of both humans and emerging technologies. 'Augmented Intelligence' spans across business intelligence and automated data analytics, and encourages businesses to put human intuition in the middle of data analytics and advanced algorithms. Currently, AI innovation is at its peak, with numerous business intelligence and data analytics technologies springing up each week.
Where were you when artificial intelligence (AI) came online? Remember that science fiction movie where AI takes over in a near dystopian future? The plot revolves around a crazy scientist who accidentally put AI online, only to realize the mistake too late. Soon the machines became the human's overlords. While these science fiction scenarios are entertaining, they really just stoke fear and add to the confusion to AI.
This post was originally published on chatbotsmagazine.com. So you've just set up your chatbot, and it's working well -- congrats! Now for the bad news: if you don't set up a feedback loop right away, your chatbot could already be falling short of its potential. But what does a great chatbot feedback loop look like, and how can you harness it to deliver more value to users? In my work with companies adopting chatbots, feedback loops are consistently one of the most overlooked components of the system.
NATIONAL HARBOR, MARYLAND - Wednesday marked the end of the road for Ariya Narayanasamy, winner of this year's Japan Times Bee, as he failed to advance to the Scripps National Spelling Bee Finals. Despite correctly spelling each word he was given on stage, Narayanasamy's score on a written exam Monday was not strong enough to place him in the top 50 remaining spellers. The 12-year-old spelled "bandicoot" Tuesday without trouble and deftly navigated his way around the unfamiliar word "pyrexia" Wednesday morning. He had never seen it before but worked methodically to deconstruct the pronunciation of the word and put it back together letter by letter. "Spelling requires concentration and problem solving," he said later.
In the early 2000s, Bluetooth almost met an untimely end. The first Bluetooth devices struggled to avoid interfering with Wi-Fi routers, a higher-powered, more-established cohort on the radio spectrum, with which Bluetooth devices shared frequencies. Bluetooth engineers eventually modified their standard--and saved their wireless tech from early extinction--by developing frequency-hopping techniques for Bluetooth devices, which shifted operation to unoccupied bands upon detecting Wi-Fi signals. Frequency hopping is just one way to avoid interference, a problem that has plagued radio since its beginning. Long ago, regulators learned to manage spectrum so that in the emerging wireless ecosystem, different radio users were allocated different frequencies for their exclusive use. While this practice avoids the challenges of detecting transmissions and shifting frequencies on the fly, it makes very inefficient use of spectrum, as portions lay fallow.