Code-mixed data is an important challenge of natural language processing because its characteristics completely vary from the traditional structures of standard languages. In this paper, we propose a novel approach called Sentiment Analysis of Code-Mixed Text (SACMT) to classify sentences into their corresponding sentiment - positive, negative or neutral, using contrastive learning. We utilize the shared parameters of siamese networks to map the sentences of code-mixed and standard languages to a common sentiment space. Also, we introduce a basic clustering based preprocessing method to capture variations of code-mixed transliterated words. Our experiments reveal that SACMT outperforms the state-of-the-art approaches in sentiment analysis for code-mixed text by 7.6% in accuracy and 10.1% in F-score.

Social media platforms such as Twitter and Facebook are becoming popular in multilingual societies. This trend induces portmanteau of South Asian languages with English. The blend of multiple languages as code-mixed data has recently become popular in research communities for various NLP tasks. Code-mixed data consist of anomalies such as grammatical errors and spelling variations. In this paper, we leverage the contextual property of words where the different spelling variation of words share similar context in a large noisy social media text. We capture different variations of words belonging to same context in an unsupervised manner using distributed representations of words. Our experiments reveal that preprocessing of the code-mixed dataset based on our approach improves the performance in state-of-the-art part-of-speech tagging (POS-tagging) and sentiment analysis tasks.

Another such invention, 3-D printing, is now scaling up. All over the world, an impressive diversity of people and organizations, ranging from startups and hobbyists to construction and engineering firms, are successfully prototyping 3-D-printed buildings. The government of Dubai has set a goal of 3-D printing 25% of every new building by 2030. Prototype single-family dwellings have been 3-D-printed in China, Italy, Russia--and Texas. Global infrastructure firm AECOM ACM 2.59% uses 3-D printing to prefabricate jail cells and hospital rooms.

Dubai: Artificial Intelligence (AI) isn't the future, it is the present. People have woken up to the many benefits that AI has to offer, especially in the field of education. We have already witnessed the rise of education technology in today's classrooms especially through a host of adaptive learning platforms. With virtual reality (VR) making inroads at a rapid pace and coding being taught to children, we see that educators are embracing technological advancements as an integral part of the teaching system just like chalk and blackboards. It is not the simple matter of whiteboards in place of blackboards or the obsolescence of textbooks. From kindergarten to graduate school, one of the best ways AI will impact education is through the application of greater levels of individualised learning.

Sören Schwertfeger finished his postdoctorate research on autonomous robots in Germany, and seemed set to go to Europe or the United States, where artificial intelligence was pioneered and established. Instead, he went to China. "You couldn't have started a lab like mine elsewhere," Mr. Schwertfeger said. The balance of power in technology is shifting. China, which for years watched enviously as the West invented the software and the chips powering today's digital age, has become a major player in artificial intelligence, what some think may be the most important technology of the future.

Palestinian health officials said 15 Palestinians were killed by Israeli fire and more than 750 hit by live rounds Friday, making it the bloodiest day in Gaza since the 2014 cross-border war between Israel and Hamas. In Friday's confrontations, large crowds gathered near the fence, with smaller groups of protesters rushing forward, throwing stones and burning tires. Israeli troops responded with live fire and rubber-coated steel pellets, while drones dropped tear gas from above. Gen. Ronen Manelis, said that while thousands of Palestinians approached the border Friday, those engaged in stone-throwing were in the hundreds. General Manelis denied soldiers used excessive force, saying those killed by Israeli troops were men between the ages of 18 and 30 who were involved in violence and belonged to militant factions.

To empower Vera speak naturally and understand candidate's response, engineers have combined speech recognition technologies from Google, Amazon.com, Microsoft, and Russia's Yandex and fed it with 13 billion examples of syntax and speech from TV, Wikipedia, and job listings to expand the software's vocabulary.

Artificial intelligence (AI) could help increase the UAE's gross domestic product by 35 percent by 2031, according to a new report. The Ministry of Economy said that the economic impact of the country's investment in the technologies of the Fourth Generation of the Industrial Revolution, most notably AI, will not be restricted by cost, consumption, production and productivity, adding that the UAE aims to become the global centre of AI by 2030. The ministry added in a report cited by news agency WAM that AI will reduce the government's annual spending by 50 percent, through reducing the number of paper-based transactions. The report also predicts that the UAE's AI strategy will generate an annual economic return, in many sectors, of around AED22 billion. It said this will be achieved by raising individual productivity by 13 percent, saving 396 million hours annually from commuting, reducing transportation costs by 44 percent, limiting carbon emissions and environmental pollution by 12 percent, limiting traffic accidents and their resulting losses by 12 percent, reducing the need for parking spaces by 20 percent by 2030.

Artificial intelligence (AI) can produce digital biomarkers of ageing and frailty by gathering physical activity data from smartphones and other wearables, scientists have found. The finding, published in the journal Scientific Reports, untaps the emerging potential of combining wearable sensors and AI technologies for continuous health risk monitoring with real-time feedback to life and health insurance, healthcare and wellness providers. "Artificial Intelligence is a powerful tool in pattern recognition and has demonstrated outstanding performance in visual object identification, speech recognition, and other fields," said Peter Fedichev from the Moscow Institute of Physics and Technology (MIPT) in Russia. "Recent promising examples in the field of medicine include neural networks showing cardiologist-level performance in detection of arrhythmia in ECG data, deriving biomarkers of age from clinical blood biochemistry, and predicting mortality based on electronic medical records," said Fedichev. The researches analysed physical activity records and clinical data from a large 2003-2006 US National Health and Nutrition Examination Survey (NHANES).

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