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) …
Producing high quality forecasts is hard for many machine learning engineers. It requires a substantial amount of experience and and very specific skills. Also, other forecasting tools were too inflexible to incorporate useful assumptions. This tool allows both experts and non-experts to produce high quality forecasts with minimal efforts. Here, we will use Prophet to help us predict air quality!
In this modern era, almost everything we do generates data. That includes purchasing goods online and offline. Understanding these huge volumes of data goes beyond human capabilities, hence retailers can deploy machine learning solutions to make sense of these. Let's explore such developments, methods and insights that are modernizing the retail sector. Machine learning (sometimes referred to as "ML") is one of the main technologies that is becoming quite valuable for retailers as more and more businesses make use of big data (essentially a large volume of data that has the potential to be mined for information).
Facebook's chief artificial intelligence (AI) researcher has suggested the company is working on a new class of semiconductor that would work very differently than most existing designs. Yann LeCun said that future chips used for training deep learning algorithms, which underpin most of the recent progress in artificial intelligence, would need to be able to manipulate data without having to break it up into multiple batches. Most existing computer chips, in order to handle the amount of data these machine learning systems need to learn, divide it into chunks and processes each batch in sequence. "We don't want to leave any stone unturned, particularly if no one else is turning them over," he said in an interview ahead of the release of a research paper he authored on the history and future of computer hardware designed to handle artificial intelligence. Intel and Facebook have previously said they are working together on a new class of chip designed specifically for artificial intelligence applications.
We are in the midst of the Artificial Intelligence Revolution (AIR), the next major epoch in the history of technological innovation. Artificial intelligence (AI) is globally gaining momentum not only in scientific research, but also in business, finance, consumer, art, healthcare, esports, pop culture, and geopolitics. As AI becomes increasingly pervasive, it is important to examine at a macro level whether AI gains from disorder. Antifragile is a term and concept put forth by Nassim Nicholas Taleb, a former quantitative trader and self-proclaimed "flâneur" turned author of New York Times bestseller of "The Black Swan: The Impact of the Highly Improbable." Taleb describes antifragile as the "exact opposite of fragile" which is "beyond resilience or robustness" in "Antifragile: Things That Gain From Disorder."
At this year's Think 2019 the world was privy to many a critical lesson, inspiring story and valuable insight, and while the event of the year may now be wrapped up, journeys to becoming a more cognitive enterprise are almost certainly underway. Fifty keynote speakers, 2000 sessions and 180 sponsors made the event a place of infinite ideas, one that played host to the innovation, insights and integrity essential to your clients' and business partners' transformation. But it's far from over, and the spotlight is not only on our technological future more than ever, but IBM itself. With that in mind, we've put together a selection of the most popular articles to come out of the event: In a keynote covering what Ginni Rimetty dubs'chapter two' for digital transformation, she explains that we're now coming out of the experimentation stage and can start to focus on gaining speed and scale. "I think this chapter two of digital and AI is about scaling now and embedding it everywhere in your business. I think this chapter two, when it comes to the cloud, is hybrid. And this chapter two is driven by mission-critical apps. But underpinning it, for all of us, is a chapter two in trust."
Chances are you've heard of artificial intelligence, which has found widespread adoption in our popular culture. Generally speaking, AI is a set of computer algorithms that can learn to make decisions without human intervention. That's AI, though I think we can all agree there is some room for improvement in that arena. It's fun to ponder what technological wizardry AI will offer future generations. Where it becomes daunting, however, is when we consider its long-term global implications and the structure necessary to harness its development.
Columbia neuroscientists have revealed that a simple brain region, known for processing basic sensory information, can also guide complex feats of mental activity. The new study involving mice demonstrated that cells in the somatosensory cortex, the brain area responsible for touch, also play a key role in reward learning, the sophisticated type of learning that allows the brain to associate an action with a pleasurable outcome. It is the basis for how we connect our work in the office to that paycheck, or that A to the studying we did in preparation for the test. The new research, published today in Cell Reports, provides evidence that learning and memory are not relegated to a few select regions, but instead may permeate the brain. "Our brains are masterful at making connections, or associations, between seemingly disparate pieces of information, but where those associations are stored has remained an unresolved question," said Randy Bruno, PhD, a principal investigator at Columbia's Mortimer B. Zuckerman Mind Brain Behavior Institute and the paper's senior author.
A storm is brewing over a new language model, built by non-profit artificial intelligence research company OpenAI, which it says is so good at generating convincing, well-written text that it's worried about potential abuse. That's angered some in the community, who have accused the company of reneging on a promise not to close off its research. OpenAI said its new natural language model, GPT-2, was trained to predict the next word in a sample of 40 gigabytes of internet text. The end result was the system generating text that "adapts to the style and content of the conditioning text," allowing the user to "generate realistic and coherent continuations about a topic of their choosing." The model is a vast improvement on the first version by producing longer text with greater coherence.
Darktrace helped pave the way for using artificial intelligence to combat malicious hacking and enterprise security breaches. Now a new UK startup founded by an ex-Darktrace executive has raised some funding to take the use of AI in cybersecurity to the next level. Senseon, which has pioneered a new model that it calls "AI triangulation" -- simultaneously applying artificial intelligence algorithms to oversee, monitor and defend an organization's network appliances, endpoints, and'investigator bots' covering multiple microservices -- has raised $6.4 million in seed funding. David Atkinson -- the startup's CEO and founder who had previously been the commercial director for Darktrace and before that helped pioneer new cybersecurity techniques as an operative at the UK's Ministry of Defense -- said that Senseon will use the funding to continue to expand its business both in Europe and the US. The deal was co-led by MMC Ventures and Mark Weatherford, who is chief cyber security strategist at vArmour (which itself raised money in recent weeks) and previously Deputy Under Secretary for Cybersecurity, U.S. Department of Homeland Security.