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) …
Some of the world's finest oil paintings have been self-destructing, developing mysterious lumps and bumps known as'art acne'. Works by Georgia O'Keeffe and Rembrandt are among the hundreds of works blighted by the condition. For decades, art conservators have struggled to control the outbreaks, which look like grains of sand to the naked eye. But now, a team at Northwestern University in Chicago has developed an iPad software that can zoom in on the pigments closer than ever before, revealing the chemical issue at hand. In 20 seconds, the technology can scan a painting to produce a three-dimensional image of it.
Two decades ago, retail was the most untapped market in India and today, it is the fastest growing! Indian retail sector that boasts of employing 8 per cent of the total workforce, currently a billion-dollar market expected to become a trillion-dollar market by 2020, is on a roll and it is getting more expansive and robust one year after another. Mr Ambud Sharma, Founder and CEO of Escaro Royale feels, "Indian retail industry is growing at its fastest pace ever thriving to become the world's largest retail industry. The continually churning wheels of development and advancements in product delivery have led to a huge transformation in the retail segment." He also adds that India is poised to become the world's largest e-commerce market and 2019 is going to witness a lot many changes in the retail sector.
"In public, many executives wring their hands over the negative consequences that artificial intelligence and automation could have for workers. They take part in panel discussions about building "human-centered A.I." for the "Fourth Industrial Revolution" -- Davos-speak for the corporate adoption of machine learning and other advanced technology -- and talk about the need to provide a safety net for people who lose their jobs as a result of automation. But in private settings, including meetings with the leaders of the many consulting and technology firms whose pop-up storefronts line the Davos Promenade, these executives tell a different story: They are racing to automate their own work forces to stay ahead of the competition, with little regard for the impact on workers."
The only way to win at technological change like artificial intelligence is to stay ahead of it. And Ireland is doing just that, writes John Kennedy. Thanks to artificial intelligence (AI), we are in the midst of the biggest technological upheaval humanity has ever seen. It is both seminal and frightening. If you really want a metaphor for the storm of change that is coming, check out this recent Bloomberg documentary Inside China's High-Tech Dystopia which shows thousands of workers in Shenzhen assembling the latest smartphones.
Machine learning and AI are all about data. We give AI-powered systems massive amounts of data to ingest and analyze, and then we trust the results. But I want to know how we can ensure the integrity of those systems, from the algorithms to the data sources. I believe the issue of data integrity is a huge challenge for the AI community, both for users and developers. And I don't think we're looking at it closely enough.
A project to develop breakthrough artificial intelligence technology for the anti-fraud sector is one of a number of new projects set to receive funding to enable the UK accountancy, insurance and legal services industries to transform how they operate. The artificial intelligence software, being developed by Intelligent Voice Ltd, Strenuus Ltd. and the University of East London will combine AI and voice recognition technology to detect and interpret emotion and linguistics to assess the credibility of insurance claims. The project is one of 40 backed by £13 million in Government investment to support collaborative industry and research projects to develop the next-generation of professional services. Artificial intelligence and data are transforming industries across the world.We are combining our unique heritage in AI with our world beating professional services to put the UK at the forefront of these cutting-edge technologies and their application. We want to ensure businesses and consumers benefit from the application of AI - from providing quicker access to legal advice for customers, to tackling fraudulent insurance claims, these projects illustrate our modern Industrial Strategy in action.
VivaLNK, a connected healthcare technology vendor, has introduced its Internet of Things-enabled medical wearable Sensor Platform, which comes with a range of sensors, edge computing technologies and an "Internet of Health Things" data cloud. This platform captures human vitals and biometrics, and delivers data from the patient to edge computing devices, as well as to the cloud, for application integration and analysis. Available through the VivaLNK Developer Program, the Sensor Platform enables IoT technology partners to capture streams of patient data such as heart and respiratory rates, temperature, ECG rhythms, activity and more. Partners such as Vitalic Medical, a digital health vendor specialising in the early detection of patient health deterioration and potential falls, is developing a bedside monitoring system using the platform. "Our growing aging patient population, rising complex health conditions and increasing staff workloads make it challenging for medical professionals to detect early signs of patient deterioration and prevent falls," Sue Dafnias, CEO of Vitalic Medical, said.
Allen, associate professor of statistics, computer science and electrical and computer engineering at Rice and of pediatrics-neurology at Baylor College of Medicine, will address the topic in both a press briefing and a general session today at the 2019 Annual Meeting of the American Association for the Advancement of Science (AAAS). "The question is, 'Can we really trust the discoveries that are currently being made using machine-learning techniques applied to large data sets?'" "The answer in many situations is probably, 'Not without checking,' but work is underway on next-generation machine-learning systems that will assess the uncertainty and reproducibility of their predictions." Machine learning (ML) is a branch of statistics and computer science concerned with building computational systems that learn from data rather than following explicit instructions. Allen said much attention in the ML field has focused on developing predictive models that allow ML to make predictions about future data based on its understanding of data it has studied. "A lot of these techniques are designed to always make a prediction," she said.
A spy movie with its paraphernalia of cool gadgets and technologies has always enticed audiences. In these movies, we have seen the use of a polygraph to detect if somebody is being truthful or not. Needless to say, polygraph is a multi-billion dollar industry and plays a crucial role in crime adjudication. Polygraphs do not have any "intelligence" built into them. They are simple machines that do what they were designed to do: measure vital statistics like blood pressure and pulse to reach a conclusion.
SuraSys (Sura Systems Private Limited) develops machine learning, natural language processing, machine vision and big data solutions and applications across domains such as natural language processing, speech, image, video, and machine vision. We work exclusively in Amazon web services, Microsoft Azure and Google cloud. We are primarily an algorithm development company which specializes in developing highly scalable solutions and applications. We also develop native applications in iOS and Android which involve vision and speech. Selected intern's day-to-day responsibilities include: 1. Assist in the overall development of Machine Learning Systems for OCR, face, vision 2. Assist in testing Python code, API 3. Learn and participate in web-based interfaces and UX development Only those candidates can apply who: are available for full time (in-office) internship can start the internship between 15th Feb'19 and 17th Mar'19 are available for duration of 6 months are from Chennai and neighboring cities have relevant skills and interests Certificate, Job offer (On successful conversion to a permanent employee, the candidate can expect a salary of Rs. 1 to 3 Lac/annum), Informal dress code, 5 days a week.