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.

Our interest lies in the recoverability properties of compressed tensors under the \textit{canonical polyadic decomposition} (CPD) model. The considered problem is well-motivated in many applications, e.g., hyperspectral image and video compression. Prior work studied this problem under somewhat special assumptions---e.g., the latent factors of the tensor are sparse or drawn from absolutely continuous distributions. We offer an alternative result: We show that if the tensor is compressed by a subgaussian linear mapping, then the tensor is recoverable if the number of measurements is on the same order of magnitude as that of the model parameters---without strong assumptions on the latent factors. Our proof is based on deriving a \textit{restricted isometry property} (R.I.P.) under the CPD model via set covering techniques, and thus exhibits a flavor of classic compressive sensing. The new recoverability result enriches the understanding to the compressed CP tensor recovery problem; it offers theoretical guarantees for recovering tensors whose elements are not necessarily continuous or sparse.

MagniLEARN, an Ed-Tech company using artificial intelligence and Natural Language Processing, received second prize for innovation in Artificial Intelligence and was recognized as a promising AI Startup in the third annual China – Israel Innoweek Conference held in Beijing, China. "Combining Natural Language Processing (NLP) with Artificial Intelligence (AI) allowed us to turn the computer into a language-aware personal tutor for each student," said MagniLEARN CEO Howard Cooper in accepting the award. "Our difference lies in presenting personalized exercises that the student answers with free-form responses. Just like a personal tutor teaching language to a child, we understand what is correct, what is nearly correct, and provide feedback and then reinforcement as the student learns proper English. We gave the computer enough language awareness to become an intelligent and efficient language tutor for each student," he concluded.

The "LegalTech Artificial Intelligence Market" is evolving at an exciting pace driven by changing dynamics and risk ecosystem, an analysis of which forms the crux of the report. The study on the global LegalTech Artificial Intelligence Market takes a closer look at several regional trends and the emerging regulatory landscape to assess its prospects. The critical evaluation of the various growth factors and opportunities in the global LegalTech Artificial Intelligence Market offered in the analyses helps in assessing the lucrativeness of its key segments. Summary of Market: The global LegalTech Artificial Intelligence market is valued at xx million US$ in 2019 is expected to reach xx million US$ by the end of 2025, growing at a CAGR of xx% during 2019-2025. Legal technology, also known asLegal Tech, refers to the use oftechnologyandsoftwareto providelegal services.

In 2020, the nature of customer engagement will change as personalisation - how marketing and customer value management actually engage with customers - rapidly matures. This means a change will be required in legacy campaign and loyalty programme management solution architectures (i.e. a move from relational databases of static customer data and batch processes to a real-time online customer profiling and engagement triggering). Those Communications Service Providers (CSPs) who lead the way will tap the real benefits that can be achieved by moving to CE 3.0. Net Promoter Scores in the telecoms industry are low; yet to date there's been relatively little analysis of why. One change lies in clearer answers to the question "Does my operator give me value for my money?".

The U.S. will step up its crackdown on China's surveillance industry this coming week, with further restrictions on the supply of American technology that will be in effect from January 6. The new regulations target the use of artificial intelligence in geospatial applications--essentially the detection and classification of objects from planes, drones and satellites. While many such applications are civilian in nature--geographical surveys, construction, town planning, the real focus is military and surveillance. Essentially, the U.S. does not want these technologies in enemy hands. The restrictions cover U.S. exports to all countries bar Canada, but the primary target is of course China and its world-leading AI surveillance industry.

One video shows Barack Obama using an obscenity to refer to U.S. President Donald Trump. Another features a different former president, Richard Nixon, performing a comedy routine. But neither video is real: The first was created by filmmaker Jordan Peele, the second by Jigsaw, a technology incubator within Alphabet, Inc. Both are examples of deepfakes, videos or audios that use artificial intelligence to make someone appear to do or say something they didn't. The technology is a few years old and getting better.