Morocco's permanent representative to the United Nations, Ambassador Omar Hilale, highlighted on September 30 that agricultural sciences and new technologies are an important part of the country's new economic projections. Morocco's Green Plan reached a goal of strengthening localized irrigation, one of the three major components of its Irrigation Strategy. The high-level meeting addressed "the role of Artificial Intelligence (AI) in achieving post-Covid food security." "Today, these sciences and technologies are helping to increase the production of small and medium farmers," Ambassador Hilale emphasized during the meeting. He also explained the crucial role that AI plays in "helping to produce more food with less water and energy."
The artificial intelligence (AI) race between the global powers has countries everywhere hurriedly rummaging up AI applications. A quick glance at magazine headlines, popular culture, and even peer-reviewed academic literature shows the many grand predictions about AI and the eventual winner of its race. But is that race something to be celebrated or feared? And where does the Middle East and North Africa (Mena) region stand? Today, algorithms, deep learning and AI have emerged as unparalleled forces of power and have made their way into the everyday world.
The issue of data quality is foremost in the financial sector. In the financial world, abundance of data is not an issue. Data can easily be collected from a wide variety of sources such as instrument prices, news articles, stock fundamentals, social media posts, macroeconomic data, ESG data, credit card transactions, and so on. Some of this data is classified as structured and typically has a numerical quantity and a well-defined structure (e.g. stock prices). Structured data is relatively easy to feed into an ML model whereas unstructured data often requires extra processing to extract meaningful information (e.g.
Global technology company OPPO announced that the OPPO Research Institute has officially released its first 6G white paper - "6G AI-Cube Intelligent Networking". As one of the global and MENA region's telecommunications industry's first in-depth reports on how artificial intelligence (AI) can empower 6G network architecture, the white paper proposes a more detailed vision for the design of next-generation communication networks. OPPO has established a pre-research team to conduct preliminary research on 6G service and technology requirements, key technologies, and system features. The global smartphone leader believes that 6G will reshape the way people interact with AI, as it is utilised to serve the public through a myriad of applications. In June 2021, UAE telecoms provider Etisalat announced plans for 6G – stating that the network is expected to be even faster and support applications such as augmented and virtual reality, as well as AI infrastructure.
A UK technology company is inserting customised product placement into films and TV shows – even those that were originally released decades ago. The firm uses artificial intelligence (AI) to analyse films and TV episodes for space where the ads or objects can be subtly inserted. It means old Hollywood classics like Casablanca or The Great Escape could soon appear on streaming services with the newest ads in the background, like a new Apple smartphone or the latest McDonald's whopper. Streaming services including Netflix and Amazon Prime Video could be temped by large offers from companies to insert their ads to content, to accompany the subscription fees from its userbase. Mirriad's technology could even allow different ads to be seen by different people, based on their internet search history, just like targeted ads on Facebook.
Significant number of researches have been developed recently around intelligent system for traffic management, especially, OCR based license plate recognition, as it is considered as a main step for any automatic traffic management system. Good quality data sets are increasingly needed and produced by the research community to improve the performance of those algorithms. Furthermore, a special need of data is noted for countries having special characters on their licence plates, like Morocco, where Arabic Alphabet is used. In this work, we present a labeled open data set of circulation plates taken in Morocco, for different type of vehicles, namely cars, trucks and motorcycles. This data was collected manually and consists of 705 unique and different images. Furthermore this data was labeled for plate segmentation and for matriculation number OCR. Also, As we show in this paper, the data can be enriched using data augmentation techniques to create training sets with few thousands of images for different machine leaning and AI applications. We present and compare a set of models built on this data. Also, we publish this data as an open access data to encourage innovation and applications in the field of OCR and image processing for traffic control and other applications for transportation and heterogeneous vehicle management.
Rabat – Moroccan-born professor of computer science at New York University (NYU) Dr. Anasse Bari has designed an artificial intelligence (AI) tool to analyze and curb the evolution of the COVID-19 pandemic. Managing a team of researchers at NYU, Bari helped create and study the efficacy of an AI instrument to predict patients vulnerable to coronavirus and determine the seriousness of COVID-19 infections. "Our goal was to design and deploy a decision-support tool using AI capabilities--mostly predictive analytics--to flag future clinical coronavirus severity," Bari said. "We hope that the tool, when fully developed, will be useful to physicians as they assess which moderately ill patients really need beds and who can safely go home, with hospital resources stretched thin," the computer scientist added, in light of the fact that hospital resources are limited as the COVID-19 outbreak continues. The Moroccan professor holds a bachelor's degree in Computer Engineering from Al Akhawayn University in Ifrane (AUI), and is establishing negotiations between NYU and AUI to use the newly developed technology in tackling the spread of COVID-19 in Morocco.
Video surveillance systems are evolving and are using artificial intelligence (AI) to inspect and analyse video footage, interpret patterns and flag unusual activity. Lenovo DCG and Pivot3 provide a state-of-the-art upgraded infrastructure solutions that aim to enhance current technology required to support these systems rather than entrusting the preservation of crucial data to outdated NVR technology. Commenting on the partnership, Dr. Chris Cooper, General Manager for Lenovo DCG, Middle East, Turkey and Africa, said, "We are delighted to showcase our partnership with Pivot3 at one the world's leading technology trade shows. The Middle East is exhibiting tremendous growth in terms of adopting smart solutions. The UAE in particular is investing heavily in implementing the latest innovations in their technological infrastructure; therefore, we see great potential from our partnership with Pivot3 as we work together to supply the appetite for next generation computing products and services."
The Market Research and insight industry will disappear by the way we known it well! That's what people say is!. By the implementation of artificial intelligence and machine learning and the automatons and also types of robotics changes the approach for the industries domains. The cloudy outlook to the innovations in market research is always due to how we define innovative in the market research, some point of view links and define the innovative as it is technology or technique related to the use of tools. In order to score good in innovation degree you have to score to founding innovation in people, storytelling, process, co-creation.
Through established partnerships and collaborations, the UAE Artificial Intelligence Network seeks to bring together governments, private entities, international organisations, start-ups, research centres, academic institutions, business incubators and accelerators under one roof to discuss and exchange expertise in the field of AI, and identify challenges and roadblocks that affect the adoption of AI, and how to solve them. The UAE Artificial Intelligence Network offers its members the opportunity to participate in various local and international events, including the annual AI Conferences organised by the UAE National Programme for AI, as well as AI-focused seminars, conferences, workshops, meetings and sessions. Members also benefit by networking with AI experts, working closely with AI pioneers and decision makers, as well as the opportunity to contribute with recommendations to the UAE Council for Artificial Intelligence.