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) …
In January, my coworker received a peculiar email. The message, which she forwarded to me, was from a handful of corporate Walmart employees calling themselves the "Concerned Home Office Associates." While it's not unusual for journalists to receive anonymous tips, they don't usually come with their own slickly produced videos. The employees said they were "past their breaking point," with Everseen, a small artificial intelligence firm based in Cork, Ireland, whose technology Walmart began using in 2017. Walmart uses Everseen in thousands of stores to prevent shoplifting at registers and self-checkout kiosks.
In the 1990s, before hitting at infinitely repeatable success with the action-adventure formula of the Lego Star Wars games, Lego used to put out a lot of videogames. Under the Lego Interactive banner, the company released a diverse slate of PC and console titles, in a variety of genres. If you were a kid with a PC in the late '90s, your first introduction to real-time strategy might not have been Starcraft but Lego Rock Raiders. These games were all aimed at kids, and at their best they made hardcore gaming more legible to kids by--and this is a terrible phrase, apologies in advance--leveraging the Lego brand. Lego aesthetics met fun, straightforward takes on interesting corners of the videogame universe.
Dutch restaurants have been hard hit by the crisis and have been closed for over two months. As of Monday, they will be allowed to reopen but with a maximum of 30 customers. That will force some layout adaptations in the Royal Palace where the robots' programmed floorplan may have to be changed at the last moment.
Tebas said the Spanish league will also want to be at the forefront when real fans will be allowed back in the stadiums, which local government officials believe will be possible beginning next season with some restrictions that will include reduced attendance, distancing guidelines and the use of protective materials such as gloves and masks.
Researchers have developed a model for generating pixel-level morphological classifications of astronomical sources. Morpheus can analyze astronomical image data pixel-by-pixel to identify and classify all of the galaxies and stars in large data sets from astronomy surveys. Morphology represents the structural end state of the galaxy formation process, and astronomers have long connected the morphological character of galaxies to the physics of their formation. Therefore, being able to measure such morphologies is a very important task in observational astronomy. There are a number of models that have addressed many of these requirements in complimentary ways.
When you think of the words "data" and "mine", no doubt the idea of data mining comes first. However, just as much as we find value in mining the rich resources of data, so too can we apply the advanced techniques for dealing with data to real-world mining -- that is, extracting natural resources from the earth. The world is just as dependent on natural resources as it is data resources, so it makes sense to see how the evolving areas of artificial intelligence and machine learning have an impact on the world of mining and natural resource extraction. Mining has always been a dangerous profession, since extracting minerals, natural gas, petroleum, and other resources requires working in conditions that can be dangerous for human life. Increasingly, we are needing to go to harsher climates such as deep under the ocean or deep inside the earth to extract the resources we still need.
The 122-page publication, called "Explaining decisions made with AI" and written in conjunction with The Alan Turing Institute, the U.K.'s national center for AI, hopes to ensure organizations can be transparent about how AI-generated decisions are made, as well as ensure clear accountability about who can be held responsible for them so that affected individuals can ask for an explanation. It does not directly reference AI or any associated technologies such as machine learning. However, the General Data Protection Regulation (and the U.K.'s 2018 Data Protection Act) does have a significant focus on large-scale automated processing of personal data, and several provisions specifically refer to the use of profiling and automated decision-making. This means data protection law applies to the use of AI to provide a prediction or recommendation about someone. The ICO suggests compliance teams (including the DPO) and senior management should expect assurances from the product manager that the system the organization is using provides the appropriate level of explanation to decision recipients.
Industry 4.0, or the fourth industrial revolution, has called for a merger between automated solutions and smarter, more effective operations through the application of real-time data collection. Essentially, IoT and data-based technologies will feed real-time content into an AI platform, which will then use machine learning algorithms to analyze and extract actionable insights. Beyond that, the data solutions may support additional power systems by controlling robots or informing various processes to influence output. In other words, machine learning and AI allow for a degree of autonomy in the field like never seen before. While they are incredibly promising technologies, they're still relatively new to the industry, which means manufacturers are looking for fresh and innovative ways to apply them.
While other vendors are trying to bolt AI on top of legacy platforms, Mist built an AI engine right into the platform. This eliminates the need for overlay sensors, data collector hardware, and extra software. But you cannot build an AI engine overnight. This has been a multi-year journey for Mist, where we painstakingly brought together the following key components.