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) …
As a global, public communications platform, Twitter strives to keep users informed with relevant, healthy content. Originally, Twitter presented Tweets in reverse-chronological order. As the community became more connected, the amount of content in users' home timelines increased significantly. Users would follow hundreds of people on Twitter -- maybe thousands -- and when opening Twitter, they would miss some of their most important Tweets. To address this issue, we launched a "Ranked Timeline" which shows the most relevant Tweets at the top of the timeline -- ensuring users never miss their best Tweets. A year later we shared how machine learning powers the ranked timeline at scale.
Here the human intelligence in charge is telling the AI model to have a look at these sections of the image. At this stage, only the human knows what is in the selected spots --sheep on a background in full shadow, sheep on the grass, and sheep on the bare ground. Defining areas where you know there are not examples of your object of interest helps the algorithm by enabling it to understand what you are NOT looking for looks like. The AI model will use these sections of your image as counterexamples. It is particularly helpful to draw the attention of the algorithm to areas where you have objects that look similar to your object of interest, but which are not that for which you are looking.
Government usually isn't the place to look for innovation in IT or new technologies like artificial intelligence. But Ott Velsberg might change your mind. As Estonia's chief data officer, the 28-year-old graduate student is overseeing the tiny Baltic nation's push to insert artificial intelligence and machine learning into services provided to its 1.3 million citizens. "We want the government to be as lean as possible," says the wiry, bespectacled Velsberg, an Estonian who is writing his PhD thesis at Sweden's Umeå University on how to use AI in government services. Estonia's government hired Velsberg last August to run a new project to introduce AI into various ministries to streamline services offered to residents.
Computer scientists have found a way around Google's reCAPTCHA tests, tricking the system into thinking an artificial intelligence program is human. But there's a catch, although the AI system can fool the bot test it doesn't live-up to the promise its creators give it. CAPTCHAs are the tests used by websites to battle back against bots, asking website visitors to prove they're human before proceeding. The leading system is Google's reCAPTCHA, which has previously asked website visitors to prove their humanity by checking words scanned from books or photographs of street signs. That was replaced with behavioural analysis, requiring humans to simply tick a box proclaiming "I'm not a robot".
IBM has come up with a way to use quantum computers to improve machine learning algorithms, even though we don't have anything approaching a quantum computer yet. The tech giant developed and tested a quantum algorithm for machine learning with scientists from Oxford University and MIT, showing how quantum computers will be able to map data at a far more sophisticated level than any classical computer. Somewhat ironically, the testing was minimized based on the current hardware capabilities, using only two qubits of quantum computing capacity, which can be simulated on a classical computer.. There are no fully working quantum computers because qubits can't stay in an entangled state for more than a few hundred microseconds, even in carefully controlled laboratory conditions. They break down into decoherence and can no longer be used to perform calculations in parallel, the feature of quantum computing that will give it awesome processing power.
AI has a data quality problem. In a survey of 179 data scientists, over half identified addressing issues related to data quality as the biggest bottleneck in successful AI projects. Big data is so often improperly formatted, lacking metadata, or "dirty," meaning incomplete, incorrect, or inconsistent, that data scientists typically spend 80 percent of their time on cleaning and preparing data to make it usable, leaving them with just 20 percent of their time to focus on actually using data for analysis. This means organizations developing and using AI must devote huge amounts of resources to ensuring they have sufficient amounts of high-quality data so that their AI tools are not useless. As policymakers pursue national strategies to increase their competitiveness in AI, they should recognize that any country that wants to lead in AI must also lead in data quality.
If you didn't comb through the 15 press releases issued by Oracle at their co-located Modern Business Experience (MBX) and Modern Customer Experience (MCX) events, you're forgiven. Digging further, the underlying theme is really the problem/opportunity of data. Both topics spark debates on data privacy, the enormous need for integrated data platforms, and how AI can have real business impact. Brian Sommer and I got into those issues – and more – in our Oracle MBX and CX event review podcast. After Brian describes Oracle MBX as "crawling with chatbots," we aired out pet peeves grievances on customer experience hype.
Amazon today is launching a new feature called "Song ID" that aims to help users discover music they like by using Alexa. When enabled, Alexa will announce the title and the artist name before playing each song while you're listening to a radio station, playlist or new release on Amazon Music over your smart speaker. The optional feature for Echo devices can be enabled or disabled by voice at any time by asking Alexa to "turn on Song ID" or "turn off Song ID." When listening to music through mobile or desktop apps, it's easy to give a quick glance at your streaming app to note an artist's name or song's title. But when you're streaming music over a smart speaker, your device may be put away and not as easily accessible.
An organization is only as good as its people, and therefore, effective human resource management is vital for the success of a business. This is the reason why millions upon millions of dollars are poured into HR efforts each and every year. Everyone wants the best piece of the talent cake. However, nothing comes without a struggle, and with the changing job market, alongside a widening skills gap, employers are starting to call for better and more effective ways to attract, acquire, and retain top talent. Artificial intelligence (commonly dubbed as AI) is here to answer that calling.
In medicine, diseases can be detected at a much earlier stage, and we can support the elderly to live a more independent life, simply by identifying deviations from their usual behaviour and body movements. The UK Government recently announced that AI could help the National Health Service predict those in an early stage of cancer, to ultimately prevent thousands of cancer-related deaths by 2033. The algorithms will examine medical records, habits and genetic information pooled from health charities, the NHS and AI. Virtual nurses could transform patient care, being available round the clock to answer questions, monitor patients and provide quick answers. Beyond healthcare, AI could inform a better allocation of resources in energy, logistics and transport, as well as support the digital advertising industry with more efficient marketing.