Over the last couple of days, I've had a lot of time (as well as many others) to think about COVID-19, and whether any AI technology can predict the pandemic virus outbreak patterns and warn us of its intended path. While many brilliant epidemiologists are searching for a cure, other researchers are considering how AI can be effectively utilized to simulate and predict how diseases will spread and how diseases will be contained. This is the art of practical AI and the merging of science and technology to predict the needs of a public health crisis worldwide. Part of the science in predicting is the ability to predict in real-time, based on unplanned scenarios or across various internal and external environmental conditions. Our machines must be able to adapt and respond like humans in order to provide more spontaneous and accurate response, especially in times of dire need.

Researchers are using AI to search satellite images for unexploded bombs dropped in Cambodia during the Vietnam War. The system uses object recognition algorithms that detect the unique features of bomb craters, including their shapes, colors, textures, and sizes. These algorithms then scan satellite images for signals of the craters. The Ohio State University team first used the system to find craters in a village in the province of Prey Veng, a heavily bombed area around 30 kilometers from the Vietnam border. The model increased the bomb crater detection by more than 160 percent over standard objective recognition algorithms, according to a study published in the journal PLOS ONE.

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One of my favorite Talend customer success stories is the International Consortium of Investigative Journalists (ICIJ). I love this story not only because they transformed investigation journalism with data, won the Pulitzer prize for the Panama papers, and helped the public to recover billions of dollars lost to illegal tax evasion. The story is also fascinating because they managed to decipher intelligence out of highly disparate and unknown data that they got from some of the history's largest data leaks. By retro-engineering massive amounts of raw data using Talend and other innovative data management tools, they revealed some of the most important stories in the world. This is the power of data intelligence.

Advanced computers have defeated chess masters and learned how to pick through mountains of data to recognize faces and voices. Now, a billionaire developer of software and artificial intelligence is teaming up with top universities and companies to see if A.I. can help curb the current and future pandemics. Thomas M. Siebel, founder and chief executive of C3.ai, an artificial intelligence company in Redwood City, Calif., said the public-private consortium would spend $367 million in its initial five years, aiming its first awards at finding ways to slow the new coronavirus that is sweeping the globe. "I cannot imagine a more important use of A.I.," Mr. Siebel said in an interview. Digital Transformation Institute, the new research consortium includes commitments from Princeton, Carnegie Mellon, the Massachusetts Institute of Technology, the University of California, the University of Illinois and the University of Chicago, as well as C3.ai and Microsoft.

Artificial intelligence is permeating nearly every industry, from customer experience and IT support to healthcare and banking. And the rise of the technology isn't expected to slow down any time soon. Research firm IDC predicts the total spent on AI systems could reach almost $98 billion three years from now -- more than 2.5 times the estimated $37.5 billion spent in 2019. While some business leaders have gone all-in and quickly embraced AI, others remain hesitant. Maybe these late adopters are waiting for the technology to mature or become more regulated, or perhaps they currently lack the skilled data scientists to facilitate an AI transition.

If you are not living all these years secluded in a cave deep inside the Amazon rainforest, you must have an idea about the exponential growth story, popularity and huge cultural factor mobile game app industry offers. In fact, online games now turned to mobile games only to go through some of the beyond-recognition changes. Latest smartphone flagships are now the closest alternatives to gaming consoles that can facilitate playing the most complex and intricately featured games. But mobile games also have undergone massive changes thanks to new technologies and new mobile game design inputs. In recent years, Chatbots have emerged as a massive value addition to a number of mobile games.

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Percentage of reported'significant' AI-induced increases in profitability by current R&D ... [ ] expenditure on AI (Figure 2.17 in Survey) A significant number of executives from 151 financial institutions in 33 countries say that within the next two years they expect to become mass adopters of AI and expect AI to become an essential business driver across the financial industry. This information was collected as part of a survey on AI in Financial Services conducted by the World Economic Forum in collaboration with the Cambridge Centre for Alternative Finance at the University of Cambridge Judge Business School and supported by EY and Invesco. The objective of the study was to understand the opportunities and challenges that will result from mass adoption of AI in Financial Services. The research was published in a 127-page report entitled Transforming Paradigms A Global AI in Financial Services Survey. Financial Services sectors represented in the survey sample.

Bengaluru: With an increased demand for advanced artificial intelligence (AI) across businesses, IBM has rolled out advanced AI based solutions under Watson that can read and analyse complex English language including meaning of idioms. The technology major said this advanced version of natural language processing (NLP) for its Project Debater would have the capability to understand challenging aspects of conversational English helping organisations to get greater clarity and more insights from their data. IBM said these new technologies represent the first commercialization of key NLP capabilities to come from IBM Research's Project Debater. Subram Natrajan, IBM India CTO, said today NLP has many limitations and this is going to push boundaries. For instance, he said, the Advanced Sentiment Analysis solution, to be integrated into Watson, is going to have a huge impact in terms of understanding the sentiment behind a language.