VisitorsCoverage Inc. announced the initial launch of their revolutionary AI chatbot, Luna, who will help respond to customer queries and help travelers navigate through the complicated world of travel insurance. The first of its kind in the travel insurance industry, the VisitorsCoverage chatbot was built using artificial intelligence and has machine learning capabilities, allowing it to adapt and grow with every customer interaction to make it smarter and improve accuracy and relevance of responses. Since its inception in 2006, VisitorsCoverage has been a trailblazer in leading the industry by adopting emerging technologies to improve overall customer experience and setting new benchmarks in digital transformation within the travel insurance space. A global company, VisitorsCoverage Inc. has customers all over the world in every time zone. The development of this chatbot will help to ensure customers receive top-notch customer service regardless of their location and time difference.

Once AI has transformed into a lifelong-learning system across industries, individual users and big corporations alike will notice its more than dynamic insights. Artificial Intelligence (AI) in 2020 and beyond, with its seemingly limitless potential, is set to transform the world – or is it? To fully embrace and reap the rewards of this futuristic technological trend, industries as far afield as a business forecasting and online gambling security, predictive maintenance and customer service will need to identify a clear strategy of AI's inherent value for each of them. The answer may lie in AI's many nuances. For example, is your software able to learn new stuff on the fly?

The recent outbreak of the coronavirus disease has caused a drop in sales and profit margin for most companies across the globe and tech companies are not exceptional. With this, it's very surprising to see how the coronavirus has affected the tech companies. But in the future, artificial intelligence could help researchers do a better job in driving away the coronavirus disease. Though it might be too late for the fledging technology to play a major role in the current epidemic -- but there is still hope for the next outbreaks. Artificial Intelligence is always good at combining through mounds of data to help find the connection that makes it easier to know the sort of treatments that could work.

Curators of Africa's largest business focused Artificial Intelligence (AI) & Data Science community discussing the real world applications & trends driving the AI Economy in Africa. Our audience comprises; CxO decision makers, platform providers, Tier 1 or 2 deployment & service providers, entrepreneurs / investors, educators, government and AI ecosystem builders across Africa.

How to Develop Near-Infrared Spectroscopy Calibrations in the 21st Century? Chemometrics Analytische Chemie LINK Simplify the process of training machine learning models for NIR spectra data with applied near-infrared spectroscopy (NIRS) knowledge. LINK "An optimized non-invasive glucose sensing based on scattering and absorption separating using near-infrared spectroscopy" LINK "Identification of waxy cassava genotypes using fourier‐transform near‐infrared spectroscopy" LINK "Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy" LINK "Near-infrared-based Identification of Walnut Oil Authenticity" LINK "Detection of flaxseed oil multiple adulteration by near-infrared spectroscopy and nonlinear one class partial least squares discriminant analysis" LINK "Application research of sensor output digitization for compact near infrared IOT node" LINK "Refining Transfer Set in Calibration Transfer of Near ...

We have a PhD level or Advanced courses thread in the sidebar but it's three year old now. There were two other 7-8 month old threads (1, 2) but they don't have many quality responses either. So, can we have a new one here? To reiterate - CS231n, CS229, ones from Udemy etc are not advanced. Advanced ML/DL/RL, attempts at building theory of DL, optimization theory, advanced applications etc are some examples of what I believe should belong here, much like the original sidebar post.

Artificial intelligence (AI) can make cybersecurity better than ever – except, of course, that cybercriminals can also leverage these same technologies to identify and exploit vulnerabilities faster and more effectively. Is an AI arms race now inevitable? To some extent, cybersecurity has always resembled an arms race. As new threats are devised, security teams quickly adapt and try to stay one step ahead of the hackers. This is becoming harder to manage, however.

Accenture Completes Acquisition of Mudano, Enhancing Its Analytics and Data Transformation Services to Financial Services Firms in the UK LONDON; Feb. 28, 2020 – Accenture (NYSE: ACN) has completed its acquisition of Mudano, a strategic data consultancy to U.K. financial services firms. The acquisition enhances Accenture's analytics, data and artificial intelligence (AI) transformation capabilities. Terms of the transaction were not disclosed. Mudano's team of industry-focused data professionals will join Accenture Applied Intelligence. Mudano was founded in 2014 and is headquartered in London, with a presence in Edinburgh, Scotland. About Accenture Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations.

Arvind Krishna leads the IBM business unit that provides the cloud and data platforms on which the company's clients build the future. His responsibilities include IBM Research, IBM Cloud, IBM Data and AI, and IBM's Security and Cognitive Applications businesses. He also drove the company's 2019 acquisition of Red Hat. Arvind leads the unit's strategy, product design, offering development, marketing, sales and service. He has an undergraduate degree from the Indian Institute of Technology, Kanpur (IITK) and a Ph.D. from the University of Illinois at Urbana-Champaign.

'Deepfakes' is the name given to video and audio developed by artificial intelligence (AI), resembling something, someone-- or someone doing something-- that didn't, in fact, occur. Advances in deep-learning and AI continue to make deepfakes more realistic, to the extent that in many cases it's becoming very difficult to distinguish what is real, and what is generated by AI. Give it a go on this website, and see if you can determine which is a real photo, and which is computer generated. With the presence of deepfakes doubling within the last year, and the technology continuously advancing, there are clear concerns surrounding the various ways they could be used. Many predict that deepfakes could provide a dangerous new medium for information warfare, helping to spread misinformation or'fake news'.