In my first article on Time Series, I hope to introduce the basic ideas and definitions required to understand basic Time Series analysis. We will start with the essential and key mathematical definitions, which are required to implement more advanced models. The information will be introduced in a similar manner as it was in a McGill graduate course on the subject, and following the style of the textbook by Brockwell and Davis. A'Time Series' is a collection of observations indexed by time. The observations each occur at some time t, where t belongs to the set of allowed times, T. Note: T can be discrete in which case we have a discrete time series, or it could be continuous in the case of continuous time series.
The current pandemic has seen organisations accelerating their investment in digital technology strategies to cope with new ways of working. It has also been an opportunity for businesses to rethink their manufacturing models and the skills required now and in the future. Artificial Intelligence (AI) in manufacturing is a natural evolution of the current processes commonly found in automation. Many manufacturing lines being used within supply chains are already using algorithms that apply AI to determine optimum running sequences for lines. Additionally, allocating complex customer orders and logistics deliveries could use similar forms of algorithms.
Anheuser-Busch thinks that the best games console is one that can also store a couple of cans of the cold stuff. The brewery is launching BL6, a gaming PC in the shape of a six-pack with a built-in projector and, naturally, a couple of koozies to keep your light beers cold. Never one to say no to a techy marketing stunt, it's the latest in a long series of gadgets and gizmos created by the beer brand. The brewery is putting its tongue far into its cheek with the BL6, a product it compares to some other next-generation consoles that came out recently. And while Microsoft and Sony's efforts can probably beat it spec-for-spec, neither rival machine comes with its own beer cooler, does it.
What do you get for the person who has everything? How about an artificially intelligent robot sommelier that can securely store, manage and suggest wines from your collection? The Winecab Wine Wall does all that (hat tip to Boss Hunting), acting kinda like a very expensive automated wine vending machine that you'd find in only the poshest 7-Eleven. Wine Walls come in a variety of sizes, from the more modest Curio Classic model, which holds 130 bottles ($139,000) to the 15 ft. Wine Wall, which holds 600 bottles ($249,900).
It's been a wild ride this year, but you can always rely on Assassin's Creed to lighten the mood. Let's see what those zany historians at Ubisoft have cooked up for us in the excitingly named Assassin's Creed Valhalla … Peterborough, is it? I have nothing against our beautiful cathedral cities, rolling plains and park-and-ride services, but after 12 months of Brexit, Covid-19 and forest fires, plus the cancellation of the Eurovision song contest, I was hoping for something a little less Tough Mudder from this giddy, quasi-historical, action-adventure series, which previously had us gallivanting around Atlantis. For the first few hours, you're thrown into the icy political drama of ninth-century Norway, where Viking warrior Eivor runs around snow-blasted islands having stern conversations about the future of her clan. I went with female Eivor.)
That's an emerging conclusion of research-based findings -- including my own -- that could lead to AI-enabled decision-making systems being less subject to bias and better able to promote equality. This is a critical possibility, given our growing reliance on AI-based systems to render evaluations and decisions in high-stakes human contexts, in everything from court decisions, to hiring, to access to credit, and more. It's been well-established that AI-driven systems are subject to the biases of their human creators -- we unwittingly "bake" biases into systems by training them on biased data or with "rules" created by experts with implicit biases. Consider the Allegheny Family Screening Tool (AFST), an AI-based system predicting the likelihood a child is in an abusive situation using data from the same-named Pennsylvania county's Department of Human Services -- including records from public agencies related to child welfare, drug and alcohol services, housing, and others. Caseworkers use reports of potential abuse from the community, along with whatever publicly-available data they can find for the family involved, to run the model, which predicts a risk score from 1 to 20; a sufficiently high score triggers an investigation.
Fires during summer 2019–2020 decimated entire vineyards in South Australia, Victoria and New South Wales, but smoke, which was far more widespread and insidious, seeped into grapes and into fermenting barrels, yielding unpleasant, unsaleable product. Although the full extent of the damage caused has not yet been calculated, analysis from the Australian Wine Research Institute indicates that smoke taint alone costs the country's wine industry tens to hundreds of millions of dollars each time a high fire season occurs. Advances in a wide range of technologies could help growers and winemakers mitigate the negative impact of smoke taint and other unpredictable anomalies, such as frost, drought, pests and disease -- and not just in Australia, but around the world. The Vineyard of the Future, led by Associate Professor Sigfredo Fuentes, a plant physiologist at the University of Melbourne, is an international consortium of scientists conducting leading-edge research to amass high-resolution data from vine to glass and analyse it in meaningful ways. Drones, satellite imaging, video analysis, and plant and people sensors combined with artificial intelligence -- collectively called "digital agriculture" -- give producers and sellers of wine an advantage in an industry riddled with uncertainty.
The TriRhenaTech alliance presents a collection of accepted papers of the cancelled tri-national 'Upper-Rhine Artificial Inteeligence Symposium' planned for 13th May 2020 in Karlsruhe. The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, and Offenburg, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes \'ecoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.