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) …
User Interface (UI) design is an creative process that involves considerable reiteration and rework. Designers go through multiple iterations of different prototyping fidelities to create a UI design. In this research, we propose to modify the UI design process by assisting it with artificial intelligence (AI). We propose to enable AI to perform repetitive tasks for the designer while allowing the designer to take command of the creative process. This approach makes the machine act as a black box that intelligently assists the designers in creating UI design. We believe this approach would greatly benefit designers in co-creating design solutions with AI.
Don't Hit the Infrastructure Wall. Find the Right Solution for AI with IBM Today. Instructor: Daniel Mandachi Enroll Now - Artificial Intelligence Blueprint: Machine Learning Machine learning is one of the most important areas of Artificial Intelligence. It provides developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. It can be applied across many industries to increase profits, reduce costs, and improve customer experiences.
The novel coronavirus has been circulating among humans for barely three months, but several bio-tech firms have already created drugs that target the COVID-19 disease. One of the secret weapons for the fast response is artificial intelligence. The Chinese government initially was criticized for downplaying the severity of the coronavirus outbreak that originated in Wuhan last December. However, researchers around the world applauded the quick work of Chinese scientists in decoding the genetic sequence of the virus, dubbed SARS-CoV-2, and posting the results in a public database on January 10. Researchers quickly went to work.
Love is evidence that we are recognised as individuals, as significant. Love is what we are asked to set aside in the name of progress under a revolutionary regime. Love, too, is imperilled by automation, given how it minimises human contact. Two great loves sit at the heart of Cao Fei's feature-length film Nova from last year: a romance between two computer scientists – one Russian, one Chinese – and the relationship between the latter and his son. Both loves fall foul of Sino-Soviet progress.
Autonomous systems with cognitive features are on their way into the market. Within complex environments, they promise to implement complex and goal oriented behavior even in a safety related context. This behavior is based on a certain level of situational awareness (perception) and advanced de-cision making (deliberation). These systems in many cases are driven by artificial intelligence (e.g. neural networks). The problem with such complex systems and with using AI technology is that there is no generally accepted approach to ensure trustworthiness. This paper presents a framework to exactly fill this gap. It proposes a reference lifecycle as a structured approach that is based on current safety standards and enhanced to meet the requirements of autonomous/cog-nitive systems and trustworthiness.
Many prominent thinkers have warned of the risks inherent in AI. However, they also point to its vast potential to free us from mundane tasks, to gain deeper insights and to boost productivity. There's no doubt that AI has huge potential to improve our everyday lives – at least before the robots take over. Because it already has, and for decades. We can thank AI for Deep Blue, the first computer chess playing program, for driverless cars and, speaking personally, for Microsoft email spam filters.
Although corporate adoption of automation technology is becoming more widespread, success remains elusive. Three-quarters of respondents in a 2018 McKinsey global survey say their companies have begun to automate some business processes or plan to do so within the next year. Yet many find total returns have fallen short of their expected target. Our client work indicates there are two main reasons for this. First, too many organizations fail to consider how automating certain steps in a business or customer-facing process will affect upstream or downstream handoffs and connections, which can introduce new inefficiencies, capping the value delivered by automation.
When it comes to competitive games, AI systems have already shown they can easily mop the floor with the best humanity has to offer. But life in the real world isn't a zero sum game like poker or Starcraft and we need AI to work with us, not against us. That's why a research team from Facebook taught an AI how to play the cooperative card game Hanabi (the Japanese word for fireworks), to gain a better understanding of how humans think. Specifically, the Facebook team set out to instill upon its AI system the theory of mind. "Theory of mind is this idea of understanding the beliefs and intentions of other agents or other players or humans," Noam Brown, a researcher at Facebook AI, told Engadget.
What are the foundational technologies today on which we are building tomorrow? That was the question Michael Hainsworth, executive producer of Futurithmic, co-host of the Geeks & Beats podcast and former BNN senior anchor and CTV news reporter, asked the audience at a talk billed Future Forward: Three Technologies That Will Change Our World Forever. The presentation was part of the CanaData construction forecasts conference held recently in Toronto. "You look at 5G wireless, artificial intelligence (AI), augmented reality (AR), these are going to be three key technologies for your industry not for the next 10 years, not for the next 20 years, this is the future forever," explained Hainsworth. "These fundamental technologies are going to give us things that today we can't even predict."