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Nadal defeats Ruud for 14th French Open title

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Rafael Nadal pulled away in the French Open final on Sunday to capture his historic 14th championship at Roland Garros and 22nd Grand Slam title overall, adding to two records he already owned. Nadal beat Casper Ruud 6-3, 6-3, 6-0 in a victory that came two days after his 36th birthday, making him the oldest title winner in the history of the clay-court tournament.

Ruud led 3-1 in the second set, a deficit that spurred Nadal to raise his level — he took the last 11 games.The Spaniard’s first triumph in Paris came in 2005 at age 19. No man or woman ever has won the singles trophy at any major event more than his 14 in Paris. And no man has won more Grand Slam titles than Nadal. He now is two ahead of rivals Roger Federer, who hasn’t played in almost a year after a series of knee operations, and Novak Djokovic, who missed the Australian Open in January because he is not vaccinated against COVID-19 and lost to Nadal at Roland Garros.

Nadal improved to 14-0 in finals at Roland Garros and 112-3 overall at his favorite tournament. For all that he has accomplished already, Nadal now has done something he never managed previously. He is halfway to a calendar-year Grand Slam thanks to titles at the Australian Open and French Open in the same season.
Ruud is a 23-year-old from Norway who was participating in a Grand Slam final for the first time. He’d never even played in a major quarterfinal until now.He considers Nadal his idol. He recalls watching all of Nadal’s past finals in Paris on TV. He has trained at Nadal’s tennis academy in Mallorca.

With 20 years of experience across print, TV, and digital journalism, Sudhashree is a seasoned media professional with a keen eye for news. A true news bug, she thrives on curating stories that capture the pulse of fashion, film, and all things trending. Deeply immersed in the fast-evolving media landscape, she swears by the power of social media to shape narratives and spark conversations.

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Dubai Police warn motorists face Dh1,000 fine and six black points for stopping suddenly on the road

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Dubai Police have issued a strong warning to motorists against stopping suddenly in the middle of the road, saying the move can land drivers with a Dh1,000 fine and six black points under the Federal Traffic Law.

According to Juma Salem Bin Suwaidan, Director of the General Department of Traffic at Dubai Police, stopping without a valid reason poses a serious risk to lives, especially on high-speed roads like Sheikh Zayed Road.

What drivers should do

Police urged motorists never to stop in the middle of the road for any reason. If there’s an issue:

  • Move to the nearest exit or safe shoulder immediately
  • If the vehicle cannot be moved, call the Command and Control Centre on 999 for assistance

This helps prevent traffic pile-ups and potentially fatal accidents.

Why sudden stopping is so dangerous

Dubai Police warned that abrupt stops often lead to rear-end collisions, particularly when drivers behind are distracted or unable to react in time.

The responsibility, officials said, usually lies with the driver who stops suddenly and without warning, as this behaviour can trigger chain accidents and major traffic disruptions.

Focus, distance, responsibility

Authorities also highlighted the dangers of distraction and lack of focus while driving, noting that such behaviour can result in serious injuries or fatalities, in addition to legal consequences.

Drivers were urged to:

  • Stay alert at all times
  • Avoid tailgating
  • Maintain safe distances to allow enough reaction time

Police have also urged drivers to stick to the minimum speed as it helps traffic flow smoothly. Driving too slowly in fast lanes can confuse other motorists and increase the risk of collisions.






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Dubai Crown Prince meets Elon Musk to discuss future tech, and drives him around the city

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Dubai’s Crown Prince Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum met Elon Musk, CEO of X, SpaceX, Tesla and Starlink, for high-level discussions on technology, innovation and the future of humanity, and then surprised social media by sharing a very personal glimpse of the meeting.

The meeting took place at Sheikh Hamdan’s majlis in Nad Al Sheba, in the presence of Sheikh Maktoum bin Mohammed bin Rashid Al Maktoum, First Deputy Ruler of Dubai and UAE Minister of Finance.

@faz3’s post steals the spotlight

Sheikh Hamdan set social media buzzing on Sunday after sharing photos of the meeting on his Instagram account @faz3, revealing that he personally drove Elon Musk around Dubai during the visit.

In the caption, the Crown Prince described the interaction as a “multifaceted discussion” covering space exploration, cutting-edge technology and the future of humanity.

“I very much enjoyed a multifaceted discussion with Elon Musk on space, technology and humanity. Excited to see what the future holds,” Sheikh Hamdan wrote.

The candid images offered a rare behind-the-scenes look at the meeting, quickly drawing attention from followers across the UAE and beyond.

A conversation about the future

Beyond the viral moment, the meeting focused on the rapid technological transformations reshaping the world and how emerging solutions can be leveraged to support sustainable, inclusive development for humanity.

Discussions also explored how innovation can help address global challenges while shaping a future defined by shared progress and prosperity.

Dubai’s rise as a global tech hub

The talks highlighted Dubai and the UAE’s growing status as global technology and innovation destinations, driven by:

  • Forward-looking legislation and regulations
  • Early adoption of emerging technologies
  • Incentives that attract global talent
  • Strong partnerships with leading international tech companies

Dubai’s advanced digital infrastructure and fast-growing digital economy were also cited as key pillars of its success.

AI, future tech and quality of life

Sheikh Hamdan reaffirmed the UAE’s long-term strategy to advance artificial intelligence and future technologies, noting their role in:

  • Enhancing quality of life
  • Boosting economic competitiveness
  • Setting new global benchmarks

He stressed that sustained investment in human capital, alongside global collaboration, continues to fuel the UAE’s thriving innovation ecosystem.

Musk praises UAE’s vision

Elon Musk praised the UAE’s forward-looking leadership and the strides it has made in technology, artificial intelligence and space exploration, wishing continued progress and prosperity for the nation and its people.

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UAE cuts work permit approvals from 10 days to just one second with AI

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Automation is revolutionising the UAE’s labour market services. At the Ministry of Human Resources and Emiratisation (MoHRE), human effort has been reduced by 56 per cent, with 175,000 of 310,000 requests between February and October fully automated. Even more impressively, review and approval times for eligible quota requests have been slashed by up to 99 per cent,  from 10 days to just one second.

This dramatic efficiency gain comes from MoHRE’s AI-powered smart work permit system, which automatically verifies eligibility, allocates quotas, and uses predictive models to anticipate workforce needs, all while minimising delays, errors, and manual intervention.

The Ministry says this milestone reflects its technology-driven approach to service development, combining advanced AI solutions, a robust digital infrastructure, and continuous upskilling of employees to manage smart automation effectively. Seamless electronic integration with government partners further enhances speed and reliability.

A standout feature is the AI-powered quota allocation system, which supports business growth by proactively assigning workforce quotas based on an establishment’s operational status and real-time needs. The system ensures companies can meet staffing requirements quickly while streamlining approvals and reducing delays.

Since the start of the year until October, the platform has granted around 900,000 work permit quotas and processed over 11 million transactions through automation. For additional quotas, predictive models automatically approve requests when possible, while cases that exceed certain thresholds are referred to specialised committees.

With self-learning capabilities, the system continuously refines its decision-making by analysing new data and monitoring operational patterns. Over time, this leads to more accurate predictions, smarter approvals, and higher-quality outcomes.

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