Collaborating Authors


Machine Learning Communities: Q1 '22 highlights and achievements


Let's explore highlights and accomplishments of vast Google Machine Learning communities over the first quarter of the year! We are enthusiastic and grateful about all the activities that the communities across the globe do. ML Olympiad is an associated Kaggle Community Competitions hosted by Machine Learning Google Developers Experts (ML GDEs) or TensorFlow User Groups (TFUGs) sponsored by Google. The first round was hosted from January to March, suggesting solving critical problems of our time. TFUG organizer Ali Mustufa Shaikh (TFUG Mumbai) and Rishit Dagli won the TensorFlow Community Spotlight award (paper and code).

W6: Intro to Data Visualization with Python #MLStart #30DaysOfML


Google Developer Student Clubs University of Ibn Zohr presents W6: Intro to Data Visualization with Python #MLStart #30DaysOfML | Feb 18, 2022. Find event and ticket information.

Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models Artificial Intelligence

In the last year, new neural architectures and multilingual pre-trained models have been released for Russian, which led to performance evaluation problems across a range of language understanding tasks. This paper presents Russian SuperGLUE 1.1, an updated benchmark styled after GLUE for Russian NLP models. The new version includes a number of technical, user experience and methodological improvements, including fixes of the benchmark vulnerabilities unresolved in the previous version: novel and improved tests for understanding the meaning of a word in context (RUSSE) along with reading comprehension and common sense reasoning (DaNetQA, RuCoS, MuSeRC). Together with the release of the updated datasets, we improve the benchmark toolkit based on \texttt{jiant} framework for consistent training and evaluation of NLP-models of various architectures which now supports the most recent models for Russian. Finally, we provide the integration of Russian SuperGLUE with a framework for industrial evaluation of the open-source models, MOROCCO (MOdel ResOurCe COmparison), in which the models are evaluated according to the weighted average metric over all tasks, the inference speed, and the occupied amount of RAM. Russian SuperGLUE is publicly available at


AAAI Conferences

Probabilistic Classifiers Chains (PCC) offers interesting properties to solve multi-label classification tasks due to its ability to estimate the joint probability of the labels. However, PCC presents the major drawback of having a high computational cost in the inference process required to predict new samples. Lately, several approaches have been proposed to overcome this issue, including beam search and an epsilon-Approximate algorithm based on uniform-cost search. Surprisingly, the obvious possibility of using heuristic search has not been considered yet. This paper studies this alternative and proposes an admisible heuristic that, applied in combination with A* algorithm, guarantees, not only optimal predictions in terms of subset 0/1 loss, but also that it always explores less nodes than epsilon-Approximate algorithm. In the experiments reported, the number of nodes explored by our method is less than two times the number of labels for all datasets analyzed. But, the difference in explored nodes must be large enough to compensate the overhead of the heuristic in order to improve prediction time. Thus, our proposal may be a good choice for complex multi-label problems.

Artificial Intelligence for the benefit of Morocco's Agriculture


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."

Should we care about Philosophy of AI in the Mena region?


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.

Why AI is so difficult to apply in finance


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.

OPPO Unveils 6G White Paper and Distinctive Next-Generation Communications Vision globally including the MENA region


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.

Product placements could be added to classic films on streaming sites

Daily Mail - Science & tech

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.

Open data for Moroccan license plates for OCR applications : data collection, labeling, and model construction Artificial Intelligence

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.