abdullah
How Saudi Arabia's spending spree reached the end of the line
How Saudi Arabia's spending spree reached the end of the line Autocratic monarchs once left an echo of their glory in the ruins of the megaprojects they commanded at the peak of their unchallenged power. Those monumental physical traces are to be found in the fertile plains, mountainsides and deserts of the Middle East. But one of their most prominent modern counterparts may only have a digital footprint to leave behind for some of his most ambitious concepts. A decade ago, the Crown Prince of Saudi Arabia Mohammed bin Salman - or MBS as he is widely known - decreed a revisioning of his country that leapt from the realm of science fiction. It was called Vision 2030. Extraordinary monolithic structures were to help bring forth new technological marvels not just for the Kingdom but for the world.
Reviews: Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
The paper presents locality-sensitive hashing schemes for well-studied distance function between probability distributions. The new schemes are based on the ideas. The first one is to approximate the distance function of interest by another distance function for which LSH schemes are known. In particular, the paper shows how to approximate MIL divergence and triangular discrimination by the Hellinger distance, for which LSH schemes are known. The second is specific to the MIL divergence, and involves representing the latter distance function as a so-called Krein kernel, and designing an asymmetric LSH scheme.
What is Israel doing to Palestinians in Tulkarem?
Israel killed three Palestinians in a drone strike on Thursday in Tulkarem, a city and refugee camp in the occupied West Bank. That was during an Israeli raid – a near-daily occurrence in the West Bank – on the Tulkarem refugee camp, during which Israeli troops clashed with fighters from the Qassam Brigades, the military wing of Hamas, according to fighters in the city. Here's all you need to know about Israeli raids on Tulkarem: News reports say Israeli soldiers were deployed on rooftops and sent bulldozers into the camp to destroy large residential areas. Israel also reportedly set fire to people's homes and prevented local relief workers from putting the fires out. Experts say Israel's tactics during its raids appear to be part of a broader doctrine to collectively punish the population, ostensibly because pockets of armed resistance are fighting back against Israel's ever-entrenching occupation. Israel claims that it is conducting "counter-terrorism" operations.
Ensemble-based modeling abstractions for modern self-optimizing systems
Töpfer, Michal, Abdullah, Milad, Bureš, Tomáš, Hnětynka, Petr, Kruliš, Martin
In this paper, we extend our ensemble-based component model DEECo with the capability to use machine-learning and optimization heuristics in establishing and reconfiguration of autonomic component ensembles. We show how to capture these concepts on the model level and give an example of how such a model can be beneficially used for modeling access-control related problem in the Industry 4.0 settings. We argue that incorporating machine-learning and optimization heuristics is a key feature for modern smart systems which are to learn over the time and optimize their behavior at runtime to deal with uncertainty in their environment.
Why you need a data champion to score AI wins
Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Making artificial intelligence (AI) work with humans requires having an internal data champion to help overcome fears and create a safe environment. That was the advice offered at Digital Procurement World in Amsterdam today in a session focused on combining humans and AI to help procurement become a top value driver in modern business. Working through overwhelming amounts of data and dealing with employee concerns that AI will take their jobs.
Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk: Karasan, Abdullah: 9781492085256: Amazon.com: Books
Many applications, or use "cases," of AI and machine learning already exist. The adoption of these use cases has been driven by both supply factors, such as technological advances and the availability of financial sector data and infrastructure, and by demand factors, such as profitability needs, competition with other firms, and the demands of financial regulation. As a subbranch of financial modeling, financial risk management has been evolving with the adoption of AI in parallel with its ever-growing role in the financial decision-making process. In his celebrated book, Bostrom (2014) denotes that there are two important revolutions in the history of mankind: the Agricultural Revolution and the Industrial Revolution. These two revolutions have had such a profound impact that any third revolution of similar magnitude would double the size of the world economy in two weeks. Even more strikingly, if the third revolution were accomplished by AI, the impact would be way more profound.
Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic
Al-Nima, Raid R., Abdullah, Fawaz S., Hamoodi, Ali N.
This paper describes the design and development of a prototype technique for artificial intelligence based on the fusion of genetic algorithm, neural network and fuzzy logic. It starts by establishing a relationship between the neural network and fuzzy logic. Then, it combines the genetic algorithm with them. Information fusions are at the confidence level, where matching scores can be reported and discussed. The technique is called the Genetic Neuro-Fuzzy (GNF). It can be used for high accuracy real-time environments.
A Yemeni boy gets lost in a land prowled by US drones
This July 11, 2018, photo, shows a fragment of a US-made missile fired from a drone that struck a vehicle, killing all seven men inside on Jan. 26, 2018, instantly ending their lives, shredding their bodies into pieces, in Shabwa, Yemen. ATAQ, Yemen – Al-Qaida was giving away motorcycles up in the mountains -- that's what the kids in town were saying the day Abdullah disappeared. Early that morning, Mohsanaa Salem woke her 14-year-old son to go buy vegetables. The sun had just risen above the mountain ridge, and winter light filled the ravine where their mud brick house sat at the foot of a slope. "Let me sleep," Abdullah groaned from a mattress on the floor, surrounded by his brothers and sisters. One word from his father, though, and the boy was up and dressed, trudging out of the house to the market in a neighboring village. Three hours later, when he still hadn't returned, Mohsanaa and her husband began to worry.
GITEX showcases latest trends in Artificial Intelligence technology
The five-day event hosted around 4,500 exhibitors from more than 100 different countries. An estimated 100,000 visitors attended the annual event which focused on Artificial Intelligence as a key theme. Industry titans such as Google, Amazon, Alibaba and LinkedIn came together to discuss the latest trends. Google's Chief Decision Scientist Cassie Kozyrkov (left), LinkedIn's Chief Data Officer Igor Perisic (center) and Alibaba's Chief Machine Intelligence Scientist Wanli Min (right) debate on how AI is transforming decision making in major sectors On the hot topic of AI investment, the CDO of the networking and jobs portal Linkedin, Igor Perisic, spoke of the "blind spots" that companies integrating the technology into their businesses must be aware of. Alibaba's Chief Machine Intelligence Scientist, Wanli Min also explored how emerging technologies like autonomous vehicles and building smarter cities could meet the demands of swelling populations.
Walmart Using AI to Transform Legal Landscape, Cut Costs
Artificial intelligence tools can draft contracts, write answers to legal complaints, or answer simple questions. They may not replace a lawyer's to-do list, but they could save time. Walmart and Nationwide Insurance are among the companies experimenting with how artificial intelligence tools can streamline their in-house legal departments and their work with outside counsel, and save money in the process. The use of more advanced data tools also is a growing cost-saving trend. That ultimately could drive law firms to change their thinking.