Budding authors face a minefield when it comes to publishing their work. For a large fee, as much as $3,000, they can make their work available to anyone who wants to read it. Or they can avoid the fee and have readers pay the publisher instead. Often it is libraries that foot this bill through expensive annual subscriptions. This is not the lot of wannabe fiction writers, it's the business of academic publishing.

THE UNIVERSITY of Salford has launched new undergraduate and Master's degrees to prepare engineers for the revolution in driverless and electric vehicles. Driverless cars will be worth an estimated £63 billion to the global economy by 2035 with tens of thousands of jobs created, and the UK government has already pumped millions of pounds into tests and trials across the country. The Salford courses are thought to be the first in Europe to train engineers for the trio of new generation technologies - electric, hybrid and driverless vehicles. "The rise of new vehicles over the next decade will be vast and transformational," explains Ghasem Nasr, Professor of Mechanical Engineering and Innovation at Salford. "New technology requires new skills and completely new perspectives on how we think about and engineer cars."

AI-powered chatbots come with many benefits for the businesses that adopt them, but in some instances, they can have greater impact for the everyday user. In this blog, we list four recent articles giving examples of where AI-powered applications and chatbots have been put into practice to help customers and the common man. The developer of the'world's first robot lawyer' application, which helped overturn more than one-hundred parking fines, is now adapting the functionality of the integrated chatbot to provide legal aid to refugees seeking asylum in the US and Canada, as well as asylum support in the UK. The original DoNotPay AI-powered application gives legal aid through a simple chat interface, where a chatbot asks a series of questions to help determine which application a refugee needs to fill out and whether they are eligible for asylum protection under international law. After this, the chatbot takes note of the relevant details required for asylum applications in the US or Canada, auto-fills the application form and sends.

One thing Artificial Intelligence can't be is prejudiced. It should be impossible; machines don't suddenly decide to hate, they're all about the facts. But what if the people programming them are prejudiced themselves? A disturbing new report in Science reveals that some are inadvertently doing just that. Who remembers Microsoft's Tay, a 2016 chatbot designed to ape the verbal machinations of a 19-year-old American girl? The high-minded idea behind it was to, according to Microsoft, "conduct research on conversational understanding."

From our voice to our faces to more unorthodox methods like our "heartprint," there are a growing number of ways for computers to recognize their users. We have yet to come across one based on our footsteps, however. Researchers from the U.K.'s University of Manchester and Spain's Universidad Autonoma de Madrid are working to change that. A new A.I. biometric verification method can successfully identify individuals by the way they walk across a pressure pad on the floor. The technology could one day be used as an alternative, or augmentation, to existing biometric identification system in places like airports. "We have realized that sensing human gait has biometric potential from the early days when we demonstrated the Manchester'Magic Carpet' to user groups back in 2010," Krikor Ozanyan, Professor of Photonic Sensors & Systems at Manchester, told Digital Trends.

An enormous figure looms over scientists searching for new drugs: the estimated US$2.6-billion price tag of developing a treatment. A lot of that effectively goes down the drain, because it includes money spent on the nine out of ten candidate therapies that fail somewhere between phase I trials and regulatory approval. Few people in the field doubt the need to do things differently. Leading biopharmaceutical companies believe a solution is at hand. Pfizer is using IBM Watson, a system that uses machine learning, to power its search for immuno-oncology drugs.

The world of wine is vast, and it seems like there are more wineries out there than grapes in a vineyard. As such, finding that perfect bottle of vino can feel like a nightmare. And, while asking your friends for recommendations can help refine the process, you can't always rely on their tastes to match your own. So, why not let data do the matching for you? Services like Spotify and Netflix already use artificial intelligence to match their users with music and TV - content that can be just as nuanced as a bottle of Merlot - and they do so with great effect.

Healthcare Artificial Intelligence Market 2018 Research Report implements an exhaustive study on Market Research Future. And also cover the other information such as Healthcare Artificial Intelligence Market trends, Prominent players, chapter-wise Description followed by various user perceptions and Forecast till 2023. Artificial intelligence (AI) or machine intelligence technology using complex algorithms which enables machines to sense, comprehend, and learn tasks requiring general or human intelligence. Artificial intelligence mimics human intelligence capabilities including learning, reasoning, pattern recognition and others to drive machine decisions in applications ranging from financial, diagnosis, marketing and others. The rapid adoption of artificial intelligence in healthcare duplicating the retail industry is another positive sign of the market.

A computer was better than human dermatologists at detecting skin cancer in a study that pitted human against machine in the quest for better, faster diagnostics, researchers said Tuesday. A team from Germany, the United States and France taught an artificial intelligence system to distinguish dangerous skin lesions from benign ones, showing it more than 100,000 images. The machine -- a deep learning convolutional neural network or CNN -- was then tested against 58 dermatologists from 17 countries, shown photos of malignant melanomas and benign moles. Just over half the dermatologists were at "expert" level with more than five years of experience, 19 percent had between two and five years' experience, and 29 percent were beginners with less than two years under their belt. "Most dermatologists were outperformed by the CNN," the research team wrote in a paper published in the journal Annals of Oncology.

We analyze and reframe AI progress. In addition to the prevailing metrics of performance, we highlight the usually neglected costs paid in the development and deployment of a system, including: data, expert knowledge, human oversight, software resources, computing cycles, hardware and network facilities, development time, etc. These costs are paid throughout the life cycle of an AI system, fall differentially on different individuals, and vary in magnitude depending on the replicability and generality of the AI solution. The multidimensional performance and cost space can be collapsed to a single utility metric for a user with transitive and complete preferences. Even absent a single utility function, AI advances can be generically assessed by whether they expand the Pareto (optimal) surface. We explore a subset of these neglected dimensions using the two case studies of Alpha* and ALE. This broadened conception of progress in AI should lead to novel ways of measuring success in AI, and can help set milestones for future progress.