The United Nations Security Council has condemned Israel's strikes on a residential compound in the Qatari capital Doha, which targeted senior members of Hamas. The statement - which did not directly name Israel - was backed by all 15 Security Council members, including the US, which traditionally blocks actions against its close ally. Council members underscored the importance of de-escalation and expressed their solidarity with Qatar, read the statement, drafted by the UK and France. Israel defended its decision to mount the attack. Qatar has played a key role in brokering diplomatic efforts to end the Israel-Gaza war, serving as a mediator of indirect negotiations between Hamas and Israel.

President Donald Trump has hailed deepening ties between the United States and the United Arab Emirates and said that the latter will invest 1.4 trillion in the former's artificial intelligence sector over the next decade. "I have absolutely no doubt that the relationship will only get bigger and better," Trump said on Thursday at a meeting with UAE President Sheikh Mohamed bin Zayed Al Nahyan, on the final leg of his three-country tour of the Gulf region that saw him strike a series of lucrative tech, business and military deals that he said amounted to 10 trillion. Sheikh Mohammed said the UAE remained "committed to working with the United States to advance peace and stability in our region and globally". The deal with UAE is expected to enable the Gulf country to build data centres vital to developing artificial intelligence models. The countries did not say which AI chips could be included in UAE data centres.

The future of artificial intelligence (AI) has been the focus of tech entrepreneurs and financial backers gathered in Doha for the second annual Web Summit hosted by Qatar. The four-day digital technology and emerging innovation summit kicked off its second day on Monday, with attendees eyeing an AI environment being transformed rapidly. Leading entrepreneurs from around the world, including Alexander Wang, founder and CEO of Scale AI, and Alexis Ohanian, co-founder of Reddit and general partner at Seven Seven Six, took centre stage at the event on the opening day. Reporting from Doha, Al Jazeera's Colin Baker said the summit is grappling with questions over the future of AI amid "companies and investors that are changing that landscape more rapidly than we expected". The United States and China are leading in preparedness for AI, said Wang of US company Scale AI.

Hush-hush meetings, often never made public. For centuries, the art of conflict mediation has relied on nuanced human skills: from elements as simple as how to make eye contact and listen carefully to detecting shifts in emotions and subtle signals from opponents. Now, a growing set of entrepreneurs and experts are pitching a dramatic new set of tools into the world of dispute resolution – relying increasingly on artificial intelligence (AI). "Groundbreaking technological advancements are revolutionising the frontier of peace and mediation," said Sama al-Hamdani, programme director of Hala System, a private company using AI and data analysis to gather unencrypted intelligence in conflict zones, among other war-related tasks. "We are witnessing an era where AI transforms mediators into powerhouses of efficiency and insight," al-Hamdani said.

Doha, Qatar – Under blocks of flashing lights, entrepreneurs, investors and business leaders converged in central Doha on Monday as Web Summit, one of the world's biggest tech conferences, opened in Qatar's capital. The event, held in the Middle East for the first time, brings together participants from dozens of countries who, over four days, will be hoping to establish new connections, share insights and secure funds. Kicking off proceedings, Qatari Prime Minister Sheikh Mohammed bin Abdulrahman Al Thani announced that the Gulf state's sovereign wealth fund would invest more than 1bn in international and regional venture capital funds. Dubbed "Fund of Funds", the programme aims to foster innovation by attracting top international venture capital funds and entrepreneurs both to Qatar and the wider Gulf region. The commitment to boost the start-up sector builds on Qatar's aspiration to be a regional IT hub.

The Taliban says it is investigating a "claim" by the United States that it killed al-Qaeda leader Ayman al-Zawahiri in a drone attack in Kabul, says a Taliban official, indicating the group's leadership was not aware of his presence there. The US said it killed al-Zawahiri with a missile fired from a drone while he stood on a balcony at his Kabul hiding place on Sunday. US officials said the killing was the biggest blow to the armed group since its founder, Osama bin Laden was shot dead more than 10 years ago. "The government and the leadership wasn't aware of what is being claimed, nor any trace there," Suhail Shaheen, the designated Taliban representative to the United Nations, who is based in Doha, told journalists in a message. "Investigation is under way now to find out about the veracity of the claim," he said, adding that the results of the investigation would be shared publicly.

The original six girls on the team became known as the "Afghan Dreamers" when they captured the world's attention in 2017, arriving in Washington for an international robotics competition after facing long odds to gain entry to the United States. They endured a 500-mile journey from their homes in Harat to an embassy in Kabul where they were twice denied visas and later had their robot kit confiscated by the Afghan government in the months before the competition.

If you drive in the United States, chances are you can't remember the last time you bought a paper map, printed out a digital map, or even stopped to ask for directions. Thanks to Global Positioning System (GPS) and the mobile mapping apps on our smartphones and their real-time routing advice, navigation is a solved problem. If you live in a place like Doha, Qatar, where the length of the road network has tripled over the last five years, commercial mapping services from Google, Apple, Bing, or other providers simply can't keep up with the pace of infrastructure change. "Each one of us who grew up in Europe or the US probably cannot understand the scale at which these cities grow," says Rade Stanojevic, a senior scientist at the Qatar Computing Research Institute (QCRI), part of Hamad Bin Khalifa University, a Qatar Foundation university, in Doha. "Pretty much every neighborhood sees a new underpass, new overpass, new large highway being added every couple of months." As Qatar copes with this rapid growth--and especially as it prepares to host the FIFA World Cup in 2022--the bad routing advice and accumulating travel delays from outdated digital maps is increasingly costly. That's why Stanojevic and colleagues at QCRI decided to try applying machine learning to the problem. A road network can be interpreted as a giant graph in which every intersection is a node and every road is an edge, says Stanojevic, whose specialty is network economics. Road segments can have both static characteristics, such as the designated speed limit, and dynamic characteristics, such as rush-hour congestion. To see where traffic really is going--rather than where an old map says it should go--and then predict the best routes through an ever-changing maze, all a machine-learning model would need is lots of up-to-data data on both the static and dynamic factors. "Fortunately enough, modern vehicle fleets have these monitoring systems that produce quite a lot of data," says Stanojevic.

On December 2, 2010, Qatar was announced to host 2022 FIFA World Cup. That was time for celebrating the first-ever Middle Eastern country to organize the tournament. The 1.8M population of Qatar then (2.8M today) never imagined the journey their country was about to embarked. Indeed, in less than 10 years, the population grew by more than a half, pushing the available urban resources and services to their limit. At the same time, the country undertook an ambitious investment plan of $200B on various infra-structural projects including a brand new three-line metro network, six new stadiums, several new satellite cities, and an astonishing 4,300km of new roads, which tripled the size of the road network in only five years.3

Travel time estimation is an important component in modern transportation applications. The state of the art techniques for travel time estimation use GPS traces to learn the weights of a road network, often modeled as a directed graph, then apply Dijkstra-like algorithms to find shortest paths. Travel time is then computed as the sum of edge weights on the returned path. In order to enable time-dependency, existing systems compute multiple weighted graphs corresponding to different time windows. These graphs are often optimized offline before they are deployed into production routing engines, causing a serious engineering overhead. In this paper, we present STAD, a system that adjusts - on the fly - travel time estimates for any trip request expressed in the form of origin, destination, and departure time. STAD uses machine learning and sparse trips data to learn the imperfections of any basic routing engine, before it turns it into a full-fledged time-dependent system capable of adjusting travel times to real traffic conditions in a city. STAD leverages the spatio-temporal properties of traffic by combining spatial features such as departing and destination geographic zones with temporal features such as departing time and day to significantly improve the travel time estimates of the basic routing engine. Experiments on real trip datasets from Doha, New York City, and Porto show a reduction in median absolute errors of 14% in the first two cities and 29% in the latter. We also show that STAD performs better than different commercial and research baselines in all three cities.