DUBAI, UNITED ARAB EMIRATES – Iran's launching of more than a dozen missiles at American-led forces in Iraq on Wednesday came after years of preparing for a confrontation with its superpower foe, whose forces are vastly larger and more advanced. The Persian Gulf country has more than 500,000 active-duty personnel, including 125,000 members of its elite Revolutionary Guard, according to a report last year by the International Institute for Strategic Studies. But international sanctions and restrictions on arms imports have made it hard for Iran to develop or buy more sophisticated weaponry. To compensate for the imbalance, Iran has developed "asymmetric" responses -- ballistic missiles, deadly drones and a web of militia allies in Iraq, Syria, Lebanon and Yemen, among other things -- with the aim of being able to inflict pain while avoiding the traditional battlefield. "From a conventional military perspective, they would get absolutely hammered," said a British former military commander who asked not to be identified because of the sensitivity of the matter.

It's difficult to make predictions, especially about the future. But one fairly safe prediction is that data will continue eating the world in 2020 and the coming decade. The most important tech trend since the 1990s will no doubt accentuate its presence in our lives, for better or for worse. At the beginning of the last decade, IDC estimated that 1.2 zettabytes (1.2 trillion gigabytes) of new data were created in 2010, up from 0.8 zettabytes the year before. The amount of the newly created data in 2020 was predicted to grow 44X to reach 35 zettabytes (35 trillion gigabytes).

X, MONTH YEAR 1 Coupled Tensor Completion via Low-rank Tensor Ring Huyan Huang, Yipeng Liu, Senior Member, IEEE, Ce Zhu, Fellow, IEEE Abstract --The coupled tensor decomposition aims to reveal the latent data structure which may share common factors. Using the recently proposed tensor ring decomposition, in this paper we propose a non-convex method by alternately optimizing the latent factors. We provide an excess risk bound for the proposed alternating minimization model, which shows the improvement in completion performance. The proposed algorithm is validated on synthetic data. Index T erms--tensor ring, coupled tensor completion, alternating least squares, excess risk bound, permutational Rademacher complexity I. I NTRODUCTION Tensor is a multidimensional array and able to model the interaction between different modes in high-dimensional data.

To ensure the security of the general mass, crime prevention is one of the most higher priorities for any government. An accurate crime prediction model can help the government, law enforcement to prevent violence, detect the criminals in advance, allocate the government resources, and recognize problems causing crimes. To construct any future-oriented tools, examine and understand the crime patterns in the earliest possible time is essential. In this paper, I analyzed a real-world crime and accident dataset of Denver county, USA, from January 2014 to May 2019, which containing 478,578 incidents. This project aims to predict and highlights the trends of occurrence that will, in return, support the law enforcement agencies and government to discover the preventive measures from the prediction rates. At first, I apply several statistical analysis supported by several data visualization approaches. Then, I implement various classification algorithms such as Random Forest, Decision Tree, AdaBoost Classifier, Extra Tree Classifier, Linear Discriminant Analysis, K-Neighbors Classifiers, and 4 Ensemble Models to classify 15 different classes of crimes. The outcomes are captured using two popular test methods: train-test split, and k-fold cross-validation. Moreover, to evaluate the performance flawlessly, I also utilize precision, recall, F1-score, Mean Squared Error (MSE), ROC curve, and paired-T-test. Except for the AdaBoost classifier, most of the algorithms exhibit satisfactory accuracy. Random Forest, Decision Tree, Ensemble Model 1, 3, and 4 even produce me more than 90% accuracy. Among all the approaches, Ensemble Model 4 presented superior results for every evaluation basis. This study could be useful to raise the awareness of peoples regarding the occurrence locations and to assist security agencies to predict future outbreaks of violence in a specific area within a particular time.

The visit to Syria, a key ally of Iran, came amid soaring tensions in the Middle East between Iran and the United States. On Friday, a U.S. drone strike killed a top Iranian general who led forces supporting Assad in Syria's civil war. Iran has vowed revenge for the slaying, and with some 600 American troops deployed in Syria, the country is a potential site of conflict with Iran. While the official statements made no mention of the U.S. killing of Iran's Revolutionary Guard Gen. Qassem Soleimani on Friday, the timing was conspicuous. Soleimani had led Iran's armed support for Assad as armed rebels neared the capital, Damascus, and he helped seize key cities, preventing the collapse of Assad's state.

At the Last Futurist, we enjoy looking at AI Trends and digital transformation trends. In between those two are more broad technology trends. In fact these topics make up the mission statement of this new news site. However the last decade had a lot of technology and gadgets that didn't fare so well in the real world. The decade was mobile all the way, with mass adoption taking place the way we might expect the brain-computer interface (BCI) to achieve mass adoption in a future decade years from now. In the decade ahead the move to automated stores and electric vehicles are real trends, but it's important to differentiate the hype from the reality. Autonomous vehicles, quantum computing going mainstream, better self-learning AI, hang on a second! Even mass adoption of digital currencies is coming faster. From computers to the internet and smart phones, a few generations shows a lot of progress. But technology never stands still. Advertising has scaled a world of surveillance capitalism normalization and an AI-arms race is now taking place. Most technology trends and AI listicles only touch the surface of how humans are embedding technology increasingly into their lives. However looking at it from the perspectives of many industries and across technology and innovation stacks gives a more complete picture. The real world and customer experience are the real tests for new technological innovations and pivots. It will take decades for 3D printing, quantum computing and an AGI to even become mature, but an age of biotechnology and AI in healthcare, education and finance is inevitable. From Huawei, to ByteDance (TikTok), to Didi, China will wage major battles for global market share in 5G, consumer apps, E-commerce, mobile payments and ride sharing, among others. Chinese led tech companies -- with the support of the Chinese Government and venture funds such as Softbank Vision Fund -- can mean that in the 2020s China's ecosystem fully replaces Silicon Valley as the leader of innovation. In 2019, some believe this has already occurred.

Lastly, governments and governmental organizations are starting to get involved. This year, the Africa Union invited several entities including our group, Alliance4AI, to work on a digital transformation strategy for the coming age. They are putting together ethical frameworks to guide the use of these technologies, and coming up with policies that open up the space for education, research and innovation. South Africa appointed a presidential commission for the Fourth Industrial Revolution to position South Africa as a leader in the digital age. Similarly, Rwanda, that pioneered the idea of smart cities in Africa is also making many strides when it comes to using digital technologies and artificial intelligence to drive growth.

Intel CEO Bob Swan stepped on stage at CES 2020 and discussed the company's "big ambitions" for 5G network transformation, artificial intelligence (AI), new partnerships, and the 120 companies "on board [with Intel] driving innovations." Here's a closer look at some of the key topics revealed. Intel is advancing the partnership it announced with Netflix last year, for better streaming, lower bit-rates and smaller files, which don't compromise video quality. Last month, Intel acquired AI processor company Habana Labs, for training and inference. Navin Shenoy, Intel data platforms group executive vice president, said it will continue development of the Intel Xeon scalable processors with the "fastest ramping Xeon processor" in the company's history, featuring a 60% increase in training.

TEHRAN – Supreme Leader Ayatollah Ali Khamenei wept Monday over the casket of a top general killed last week in a U.S. airstrike, his prayers joining the wails of mourners who flooded the streets of Tehran demanding retaliation against America for a slaying that has drastically raised tensions across the Middle East. The Tehran funeral for Revolutionary Guard Gen. Qassem Soleimani drew a crowd said by police to be in the millions, filling thoroughfares and side streets as far as the eye could see. Although there was no independent estimate, aerial footage and journalists suggested a turnout of at least 1 million, and the throngs were visible on satellite images of Tehran taken Monday. Authorities later brought his remains and those of the others to Iran's holy city of Qom, where another massive crowd turned out. The outpouring of grief was an unprecedented honor for a man viewed by Iranians as a national hero for his work leading the Guard's expeditionary Quds Force.

WASHINGTON – The Pentagon on Monday distanced itself from U.S. President Donald Trump's assertions that he would bomb Iranian cultural sites despite international prohibitions on such attacks. Defense Secretary Mark Esper said the U.S. will "follow the laws of armed conflict." When asked if that ruled out targeting cultural sites, Esper said pointedly, "That's the laws of armed conflict." The split between the president and his Pentagon chief came amid heightened tensions with Tehran following a U.S. drone strike that killed Gen. Qassem Soleimani, the head of Iran's elite Quds Force. Trump had twice warned that he would hit Iranian cultural sites if Tehran retaliates against the U.S. Esper's public comments reflected the private concerns of other defense and military officials, who cited legal prohibitions on attacks on civilian, cultural and religious sites, except under certain, threatening circumstances.