The risk and insurance industry is on "the cusp of significant technological change", and there are three broad trends to watch out for in the insurtech space. Roberto McQuattie, regional head of Latin America at Crawford & Company, outlined the trends in this "rapidly expanding" space. First is the use of drone technology. According to McQuattie, the technology is being used to great effect by colleagues handling claims after hurricanes Harvey, Irma and Maria. "Drones are being used in both pre- and post-loss scenarios and provide efficient and accurate handling of claims," he added.

Lexical Simplification is the process of replacing complex words in a given sentence with simpler alternatives of equivalent meaning. This task has wide applicability both as an assistive technology for readers with cognitive impairments or disabilities, such as Dyslexia and Aphasia, and as a pre-processing tool for other Natural Language Processing tasks, such as machine translation and summarisation. The problem is commonly framed as a pipeline of four steps: the identification of complex words, the generation of substitution candidates, the selection of those candidates that fit the context, and the ranking of the selected substitutes according to their simplicity. In this survey we review the literature for each step in this typical Lexical Simplification pipeline and provide a benchmarking of existing approaches for these steps on publicly available datasets. We also provide pointers for datasets and resources available for the task.

In the early 1980s, children at a school in Nicaragua did something remarkable: they spontaneously created a language. Brought together for the first time in a school for deaf children, they had no shared sign language and so they developed their own. The result, ISN (Idioma de Señas de Nicaragua), is a grammatically complex, expressive language that speaks to our natural need to engage with others. Those children created a way to share, learn and converse with each other because that's what humans do. Remember the last time you chatted with a good friend: it's likely that your conversation felt natural, easy.

Explorers have discovered the remains of the'Chilean Titanic' 95 years after it sank off the coast of Chile. The Itata ship sank in 1922 with more than 400 people on board, after running into a storm during a journey between the US and Chile. For the last seven years, experts have been searching for the wreckage, and have finally pinpointed it off the port of Coquimbo, in Elqui Province, in northern Chile. The researchers hope the discovery will help to complete the story of the infamous ship, and bring more tourists to the area. After seven years of searching, explorers have discovered the remains of the'Chilean Titanic' 95 years after it sank off the coast of Chile Researchers from the Catholic University of the North started looking for the wreckage in 2010.

In this paper we analyse the benefits of incorporating interval-valued fuzzy sets into the Bousi-Prolog system. A syntax, declarative semantics and im- plementation for this extension is presented and formalised. We show, by using potential applications, that fuzzy logic programming frameworks enhanced with them can correctly work together with lexical resources and ontologies in order to improve their capabilities for knowledge representation and reasoning.

AI is all around us, quietly working in the background or interacting with us via a number of different devices. Various industries are using AI for specific reasons such as ensuring that flights arrive on time or irrigating fields better and more economically. Over time, our interactions with AI are becoming more sophisticated. In fact, in the not-too-distant future we'll have personal digital assistants that know more about us than we know about ourselves. For now, there are countless AI projects popping up in commercial, industrial and academic settings.

Cutting Edge Deep Learning For Coders, Part 2 from fast.ai

Artificial intelligence (AI) is set to create millions of new jobs within the coming years, with some of the most in-demand jobs in trending fields like self-driving cars and deep learning. But the technology is also becoming integrated into the preexisting technology industry, with tech business leaders using everything from Alexa skills to humanoid robots to streamline in-office affairs, increasing efficiency and productivity in the process. Generally described as high-payoff ventures, the tech leaders TechRepublic talked to for this story all agreed on one thing: Businesses need to begin adopting AI technologies to help them do work, or risk being left behind. Here are eight ways companies are using AI-driven technology to increase productivity. SEE: IT leader's guide to the future of artificial intelligence (Tech Pro Research) The set-up combs through the CVs of job applicants who apply through the company website and third parties, distinguishing between good and bad candidates by looking for certain qualifications.

Traditional dictionary learning methods are based on quadratic convex loss function and thus are sensitive to outliers. In this paper, we propose a generic framework for robust dictionary learning based on concave losses. We provide results on composition of concave functions, notably regarding super-gradient computations, that are key for developing generic dictionary learning algorithms applicable to smooth and non-smooth losses. In order to improve identification of outliers, we introduce an initialization heuristic based on undercomplete dictionary learning. Experimental results using synthetic and real data demonstrate that our method is able to better detect outliers, is capable of generating better dictionaries, outperforming state-of-the-art methods such as K-SVD and LC-KSVD.

Want to watch this again later? Sign in to add this video to a playlist. Report Need to report the video? Sign in to report inappropriate content. Report Need to report the video?