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) …
Simple Linear regression is a simple yet powerful supervised learning technique. The aim of linear regression is to identify how the input variable(explanatory variable) influences the output variable(response variable). Simple Linear regression performs the task to predict a dependent variable value (y) based on a given independent variable (x). So, this regression technique finds out a linear relationship between x (input) and y(output). Hence, the name is Linear Regression. In the figure above, X (input) is the work experience and Y (output) is the salary of a person.
Microsoft Flight Simulator is a triumph, one that fully captures the meditative experience of soaring through the clouds. But to bring the game to life, Microsoft and developer Asobo Studio needed more than an upgraded graphics engine to make its planes look more realistic. They needed a way to let you believably fly anywhere on the planet, with true-to-life topography and 3D models for almost everything you see, something that's especially difficult in dense cities. A task like that would be practically impossible to accomplish by hand. But it's the sort of large-scale data processing that Microsoft's Azure AI was built for.
I always know a new product is excellent when its makers describe it as "next-level." I hear you moan, on seeing the new, wondrous Ring Always Home Cam. Also: When is Prime Day 2020? Oh, how can you be such a killjoy? When Amazon's Ring describes it as "Next-Level Compact, Lightweight, Autonomously Flying Indoor Security Camera," surely you leap toward your ceiling and exclaim: "Finally, something from Amazon I actually want! A drone that flies around my living room!"
I actually had to double-check my calendar to make sure today wasn't April Fool's. Because watching the intro video of an indoor surveillance drone operated by Amazon seemed like just the sort of geeky joke you'd expect on April 1. But it isn't April Fools, and besides, Google has always been the one with the twisted sense of humor. Amazon has always been the one with the twisted sense of world domination. This was a serious press briefing.
The so-called "black-box" aspect of AI, usually referred to as the explainability problem, or X(AI) for short, arose slowly over the past few years. Still, with the rapid development in AI, it is now considered a significant problem. How can you trust a model if you cannot understand how it reaches its conclusions? For commercial benefits, for ethics concerns or regulatory considerations, X)(AI) is essential if users understand, appropriately trust, and effectively manage AI results. In researching this topic, I was surprised to find almost 400 papers on the subject.
FedEx Corp. is looking at using small self-flying cargo planes to serve remote areas after experimenting with a technology startup on autonomous aircraft, said Chief Executive Officer Fred Smith. The effort builds on the courier's work with Silicon Valley's Reliable Robotics, which was founded by veterans of Elon Musk's Space Exploration Technologies Corp. With approval from the U.S. Federal Aviation Administration, Reliable Robotics demonstrated in June a fully automated remote landing of a Cessna 208 Caravan turboprop owned by FedEx. "This initiative deals with small turboprop airplanes and in this particular case the single-engine C208, which we're looking at putting in very remote and uninhabited areas as part of our network," Smith said Monday at FedEx's annual shareholder meeting. FedEx pilots shouldn't be concerned about robots stealing their jobs -- for now.
Physicists built the Large Hadron Collider to study the inner workings of the universe. Inside a 27-kilometer underground ring straddling the French-Swiss border, the machine smashes protons together at nearly the speed of light to produce--fleetingly--the smallest constituent building blocks of nature. Sifting through snapshots of these collisions, LHC researchers look for new particles and scrutinize known ones, including their most famous find, in 2012: the Higgs boson, whose behavior explains why other fundamental particles like electrons and quarks have mass. Less well known is the intricate software engine that powers such discoveries. With particle collisions occurring at approximately a billion times per second, the facility generates about 40 terabytes of data per second, according to LHC physicist Maurizio Pierini.
"The Global Artificial Intelligence in Aviation Market analysis is provided for the international markets by including development trends, competitive landscape analysis, and key regions development status. Manufacturing processes, development policies, and plans of the Artificial Intelligence in Aviation Market are discussed, along with the cost structures. This Artificial Intelligence in Aviation market analysis also states supply, import/export consumption, and demand Figures, price, cost, revenue, and gross margins. Artificial Intelligence in Aviation market competitive landscape offers data information and details by companies. The Artificial Intelligence in Aviation market analysis provides a complete analysis and precise statistics on revenue by the market participants for the period 2020-2028.
Etihad Airways is to resume trials of a special food waste detection system that utilises artificial intelligence to track unconsumed Economy class meals across Etihad's flights. After the COVID-19 pandemic stopped the trial in its tracks earlier this year, the airline has once again restarted the programme in collaboration with Singapore startup Lumitics. According to the food technology company, Etihad should expect to start seeing results within the first few months of operation. Already in use by several airlines, including Singapore Airlines, the system uses a combination of image recognition and AI to differentiate and identify the types and quantity of unconsumed meals based on the design of the meal foils. While many airlines already have some sort of system in place to identify and count food waste, these processes are normally slow and labour intensive.
Police forces in the UK are trialing the use of drones to provide air support to forces on the ground in cases where deploying a helicopter or an aeroplane might be less practical. The National Police Air Services (NPAS), the police aviation service that assists territorial police forces in England and Wales, is evaluating how drone technology might complement its existing national fleet of helicopters and planes. First trials for the technology kicked off at West Wales Airport near Aberporth, and included various typical scenarios that the NPAS's fleet might be confronted with. Typically, police forces request NPAS to assist them with tasks such as searching for suspects or missing people, vehicle pursuits, public order, counter-terrorism and firearms incidents. The NPAS is evaluating how drone technology might complement its existing national fleet of helicopters and aeroplanes.