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) …
Conversational assistants are here to stay, making everything from boiling an egg to making a payment that much easier. And consumers expect more of them day by day. If they meet these growing expectations, conversational assistants are in a position to transform the customer experience landscape. But do organizations have the customer centricity and organizational capabilities necessary to deploy these technologies successfully? In the new report from the Capgemini Research Institute, Smart Talk: How organizations and consumers are embracing voice and chat assistants,we talked to over 12,000 consumers who've used and continue to use voice and/or chat assistants and to 1,000 executives from consumer products and retail, financial services, and automotive, including pure-play digital players.
Predictive policing – the use of machine-learning algorithms to fight crime – risks unfairly discriminating against protected characteristics including race, sexuality and age, a security thinktank has warned. Such algorithms, used to mine insights from data collected by police, are currently deployed for various purposes including facial recognition, mobile phone data extraction, social media analysis, predictive crime mapping and individual risk assessment. Researchers at the Royal United Services Institute (RUSI), commissioned by the government's Centre for Data Ethics and Innovation, focused on predictive crime mapping and individual risk assessment and found algorithms that are trained on police data may replicate – and in some cases amplify – the existing biases inherent in the data set, such as over- or under-policing of certain communities. "The effects of a biased sample could be amplified by algorithmic predictions via a feedback loop, whereby future policing is predicted, not future crime," the authors said. The paper reveals that police officers, who were interviewed for the research, are concerned about the lack of safeguards and oversight regarding the use of predictive policing.
Robots have transcended the realm of sci-fi fantasy and are now making revolutionary waves in several industries. Industries that deal with complex, life-threatening tasks have been enjoying tremendous benefits from robots. From being controlled by a human operator to now being fully autonomous, robotics has vastly grown. Equipped with cutting-edge technologies, some robots today are designed such that they closely emulate human intelligence, in one form or another. Due to this, we see the use cases of robots in areas that need human intelligence and decision-making capabilities.
Artificial intelligence, it's said, will provide power to the 4th industrial revolution, changing the manner in which we work, live and interact. It's quickly disrupting all sorts of industries, and in beauty, organizations from probably the largest multinationals to impartial start ups are more and more investing in AI to bring groundbreaking innovative developments to customers. Earlier this year L'Oreal snapped up AI and augmented reality (AR) beauty brand ModiFace with plans to "support the reinvention of the beauty experience". Coty, meanwhile, has launched an accelerator programme for AI start-ups to earn an opportunity to work with the beauty company. And Perfect Corp has debuted its first Global AI Challenge, inviting resourceful innovators to build up beauty tech treatments using AI across all item categories from toothpaste to nail polish.
It's been 10 years since the first ever Mario AI Competition, so I return to the world of Super Mario level generation research and catch up one some of the more interesting examples that have arisen in recent years. This video is inspired by the following AI research papers and projects: NOOR SHAKER: http://lynura.com/publications.php It's is supported through and wouldn't be possible wthout the wonderful people who support it on Patreon. You can follow AI and Games (and me) on Facebook, Twitter and Instagram: http://www.facebook.com/AIandGames
Some days ago I was interviewing a candidate for a data-related position: after a couple of technical questions I asked him what algorithm he would have used to have a reliable starting point for a random classification problem. I was just curious to understand how used he was in doing some data science and if he knew some state-of-the-art algorithms and techniques. He told me that he would have gone with a simple decision tree because it's somehow easy to explain and interpret. That answer surprised me a little: I mean, why a decision tree in 2019 when you can get way better and, above all, more robust results using more advanced algorithms? As always happens, once you notice something you see it everywhere, and from that day I keep seeing and reading here and there blog posts about interpretability, explicability and how all of these concepts are connected to machine learning and trust.
As more and more banking institutions look to find out more about the importance of artificial intelligence, app developers are playing a much larger role. App developers are able to guide their clients in the proper direction. They are at the cutting edge of all new technologies. Banking institutions that do not take the time to meet with app builders are placing themselves behind the proverbial eight ball. They are not going to be able to enjoy all of the benefits that artificial intelligence has to offer.
The transportation url is actually starting to use Artificial Intelligence (AI) in mission critical tasks (for instance, self driving automobiles carrying passengers) in which the reliability as well as security of an AI system will be below question coming from the common public. Major issues of the transportation market as capability troubles, environmental pollution, reliability, safety, and wasted energy are actually providing ample opportunity (and potential for higher ROI) for AI innovation. For the benefit of this post,' transportation' is going to include all systems which move luggage as well as folks. We explore each of the applications and the future of their technology roadmap in more detail below. The compatibility of AI to transportation apps is actually a relatively natural match.
As of today, lots of companies state to assist security firms, the army, in addition to consumers prevent crime and defend their private, homes, and buildings belongings. This particular article intends to offer business leaders in the security space with a concept of what they are able to presently expect from Ai in the business of theirs. We wish this report allows company leaders in security to garner insights they are able to confidently relay to the executive teams of theirs so they are able to make educated choices when thinking about AI adoption. At the minimum, this article intends to serve as a technique of decreasing the time industry leaders in physical security spend researching AI businesses with whom they might (or might not) be keen on working. Evolv Technology claims to offer a physical security system that consists of the Evolve Edgepersonnel threat screening machine that works with the Evolv Pinpoint automated facial recognition application.
We've seen how technological advancement has displaced jobs, especially so in the manufacturing and telecommunications industry. Now, the development of Artificial Intelligence (AI) is causing people to worry about being replaced by robots. Even Jack Ma himself acknowledged that AI is a threat to job security. "AI and robots are going to kill a lot of jobs, because in the future, these will be done by machines." How then, can we remain one step ahead?