Collaborating Authors


Michael Pregent: Iran fears US war – May have deliberately missed hitting Americans in missile attacks

FOX News

Iranians fired 15 ballistic missiles at U.S.-based forces in Iraq; Benjamin Hall reports from Amman, Jordan. Iranian missile attacks on two joint U.S.-Iraqi military bases Wednesday morning didn't kill or injure any Americans, according to initial reports – and that appears to have been a deliberate move by Iran to avoid a retaliatory strike by U.S. forces. Iran had to strike back at the U.S. in some way after an American drone attack ordered by President Trump killed Iranian terrorist Gen. Qassem Soleimani and other terrorists Friday morning in Iraq. But the leaders of the Iranian regime are smart enough to know that if they had killed Americans in their retaliatory attack, Trump would have responded with deadly force. This could have sparked a rapidly escalating series of strikes and counterstrikes as each side hit back at the other and could have eventually led to a costly war that would have hurt Iran far more than the U.S. Iran called on the U.S. not to retaliate after the Islamic Republic launched as many as 15 ballistic missiles at the bases where U.S. troops were stationed – a clear indication that Iran wants to avoid further military conflict with the far more powerful American forces.

Machine Learning Study Group Day 8


We decided to run the ML Study Group for students who were at python study group in order to walk with them all the way right to learn the best practices on Machine Learning on Cloud and with TensorFlow. Machine Learning Study Group is a series of sessions where we learn together the fundamentals of ML and Deep Learning on GCP, using APIs and TensorFlow as well as learn more about models and how to build your own model in python. This Study Jam is intended for those who wish to learn about ML from a practical, applied perspective that will enable you to use machine learning in your everyday projects and learn about the power of TensorFlow. Main topics: 1- ML APIs on GCP 2- Algorithms 3- Sklearn and Keras 4- neural network 5- TensorFlow we will go through:- GCP, algorithms, ML using python, sklearn, keras, computer vision (CNN), speech recognition, TensorFlow, neural network and more.

Amman AI Bootcamp


Reem Mahmoud is the Co-founder and Education Lead at Zaka. Reem's passion for Machine Intelligence and education is the main driver for her role at Zaka. She is currently pursuing a Ph.D. degree at the American University of Beirut (AUB) in Electrical & Computer Engineering where her research is in the area of Machine Intelligence with a focus on learning from limited data in the IoT and sensing applications. Her research interests also include digital signal processing, optimization methods, and computer vision. Reem graduated with a B.S. in Electrical Engineering with high distinction from Alfaisal University in Riyadh, Saudi Arabia in 2015 and received her M.E. in Electrical & Computer Engineering from AUB in 2017 where her thesis was about designing accurate personalized user models from sensing data.

Jordanian 'Bot as a Service' startup Arabot raises $1 million seed led by Saudi's RTF


Arabot, an Amman-based'Bot as a Service' startup has raised $1 million in seed funding led Saudi's Riyad Taqnia Fund (RTF) with participation from existing investors, RTF announced in a statement to MENAbytes. Founded in 2016 by Abdallah Faza and Kais Hassan in 2016, Arabot allows businesses to integrate and use its intelligent Arabic bot (that also speaks English) through their website, mobile app, or contact center platform to engage with customers. Arabot according to its website is built upon Arabic NLP engine which can understand and analyze Arabic content and conversation in different Arabic dialects. "We are building a conversation/dialogue management as a hybrid rule-based system fused with Deep Machine Learning to reach needed levels of Natural Language Understanding (NLU)," notes Arabot's website. The service that could be used by businesses mainly for customer service and promotion can be integrated in their website, mobile app, contact center platform, or messaging platform.

Jordan's Mawdoo3 launches Salma, a Siri-like AI-powered Arabic personal voice assistant


First announced in March last year, Amman-based Mawdoo3 has finally launched its Arabic personal voice assistant, Salma. The personal assistant was recently launched at TechWadi Annual Forum 2019 last month in California. After the launch, Salma has been made available as a standalone iOS and Android app. According to its (her?) website, the personal assistant can share weather forecasts, currency exchange rates, and prayer times. It (she?) can also help users set an alarm on their phone, play music from their favorite apps, or call anyone from their address book – all with a quick voice command.

Prince William on historic Mideast trip, praises U.K.-Jordan ties

The Japan Times

AMMAN – Prince William on Sunday praised "historic ties and friendship" between Britain and Jordan, as he kicked off a historic, politically delicate five-day tour of the desert kingdom, Israel and the Palestinian territories. Though billed as nonpolitical, it's a high-profile foreign visit for William, 36, second in line to the throne. He is meeting with young scientists, refugees and political leaders in a tumultuous region Britain controlled between the two world wars. On Sunday, he was welcomed in Jordan by 23-year-old Crown Prince Hussein, a member of the Hashemite dynasty Britain helped install in then-Transjordan almost a century ago. William was greeted by an honor guard after his plane landed at a small airport on the outskirts of the capital of Amman.

Middle East particle accelerator opens in Jordan

Al Jazeera

The Middle East's first particle accelerator has officially been inaugurated in Allan, Jordan, in a ceremony attended by King Abdullah II and Irina Bokova, director-general of UNESCO. According to UNESCO's press release on Tuesday, the official name of the facility is Synchrotron-light for Experimental Science and Applications in the Middle East, or SESAME - the password used in Ali Baba's time to open the gates to unimaginable treasures. The $90m laboratory's mission is: "Enabling world-class research in its members in subjects ranging from biology and medical sciences through materials science, physics and chemistry to archaeology." It aims to build "scientific and cultural bridges between neighbouring countries, promoting mutual understanding and tolerance through international cooperation, and fostering a regional community of scientific users who will work together". SESAME is located 35km north of Jordan's capital, Amman, and was built emulating the institutional structure of CERN - the world's largest particle accelerator in Switzerland.