One-day research workshops on the application of AI approaches to a dedicated area of research (e.g. Workshops may be held in any Canadian city, but must include participants from multiple research institutions (universities, research institutes, research hospitals). The goal of the workshop should be to identify opportunities for the application of AI to the specific domain of interest, identify emerging research opportunities and foster the development of new collaborations. Up to $20,000 of funding is available and applicants will be asked to provide a complete budget. CIFAR will provide some logistical support to workshop organizers (e.g.
Now approaching its fourth successful year, the next edition of Future Steel Forum will take place in Prague, the capital of the Czech Republic on 2 – 3 June 2020. Future Steel Forum is all about the application of industry 4.0 to the steelmaking process.. Delegates can expect to hear from the world's leading experts on high-tech steelmaking n a whole range of topics including: For 2020, we have more steelmakers involved than ever before including: ArcelorMittal, Tata Steel India, Emirates Steel, POSCO, Mtinvest Digital, Big River Steel, Liberty Steel Group, Kobe Steel, Buderus Edelstahl, Badische Stahl Engineering and TMK. Delegates can expect lively conversation, animated discussion panels and plenty of networking opportunities. Take advantage of the early-bird rate and register for your pass today. "It's an exceptional opportunity to assess the evolution of the steel industry and to meet relevant people."
Six European cities – Helsinki, Amsterdam, Copenhagen, Paris, Stavanger, and Tallinn – join forces in a new project named AI4Cities. The project challenges enterprises, researchers and others to develop solutions utilising artificial intelligence (AI) to generate cuts to carbon dioxide emissions, said the City of Helsinki in a press release. Helsinki emphasises utilisation of data and AI in its digitalisation programme to achieve the city's climate goals. The participating cities' respective programmes to cut carbon dioxide emissions emphasise emissions from transport and housing. Consequently, the AI4Cities Project focuses on emissions generated from transport and traffic as well as the energy consumption by buildings.
While artificial intelligence offers opportunities to automate and innovate, just 30% of workplaces are actually using it. Combined with a lack of understanding of the technology, employers don't have the internal structure and personnel needed to launch the power of AI into their business model, says Augustine Walker, senior director of product management for Veritone, an AI solutions provider. "There isn't a lot of focus on what tools are out there so that I can make my business better with AI," Walker says. "The ubiquity of the talent pool and the capabilities are not out there yet -- it's still maturing." Walker spoke with Employee Benefit News on how AI can actually be a catalyst for creativity and why data scientists are a critical piece to the puzzle.
LINK "An overview of near-infrared spectroscopy (NIRS) for the detection of insect pests in stored grains" LINK "A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy" LINK The latest generation of near-infrared (NIR) spectroscopy systems designed for on-line measurement of properties opens up new possibilities for measuring product properties. LINK "In situ ripening stages monitoring of Lamuyo pepper using a new generation NIRS sensor" LINK "Detection of aflatoxin B1 on corn kernel surfaces using visible-near infrared spectra" LINK " Estimation of soil phosphorus availability via visible and near-infrared spectroscopy" LINK "Multivariate Classification of Prunus Dulcis Varieties using Leaves of Nursery Plants and Near Infrared Spectroscopy." LINK "Detection of Dibutyl Phthalate (DBP) Content in Liquor Based on Near Infrared Technology" LINK "Analysis of incensole acetate in Boswellia species by near infrared ...
The European Patent Office recently turned down an application for a patent that described a food container. This was not because the invention was not novel or useful, but because it was created by artificial intelligence. By law, inventors need to be actual people. This isn't the first invention by AI – machines have produced innovations ranging from scientific papers and books to new materials and music. That said, being creative is clearly one of the most remarkable human traits.
We introduce a generic scheme for accelerating first-order optimization methods in the sense of Nesterov, which builds upon a new analysis of the accelerated proximal point algorithm. Our approach consists of minimizing a convex objective by approximately solving a sequence of well-chosen auxiliary problems, leading to faster convergence. This strategy applies to a large class of algorithms, including gradient descent, block coordinate descent, SAG, SAGA, SDCA, SVRG, Finito/MISO, and their proximal variants. For all of these methods, we provide acceleration and explicit support for non-strongly convex objectives. In addition to theoretical speed-up, we also show that acceleration is useful in practice, especially for ill-conditioned problems where we measure significant improvements.
The aging adage, "there's an app for that," is evolving into, "there's a robot for that." More and more automation is finding its way to the market for household chores like cleaning floors, and now that innovation is in farmer's fields with Odd.Bot, an automatic weeding robot. Odd.Bot made an appearance at the Consumer Electronics Show (CES) in Las Vegas last month with an informational booth and the weed-plucking device on display. Martijn Lukaart, Founder and CEO, explains that Odd.Bot is currently intended for use in organic farming fields to make the weed-pulling process easier for large farms who currently do all the work by hand. Many large-scale farmers have already invested in a platform that allows workers to lay face down on a bed as they are propelled through the rows of crops.
The European Patent Office recently turned down an application for a patent that described a food container. This was not because the invention was not novel or useful, but because it was created by artificial intelligence (AI). By law, inventors need to be actual people. This isn't the first invention by AI – machines have produced innovations ranging from scientific papers and books to new materials and music. That said, being creative is clearly one of the most remarkable human traits.