ISLAMABAD: The Pakistan Cricket Board (PCB) has announced a full ticket refund for Champions Trophy matches that were abandoned without a ball being bowled at Rawalpindi Cricket Stadium last month, Pakistani state media reported on Sunday.
The matches were due to be played between Australia and South Africa on Feb. 25, and Bangladesh and Pakistan on Feb. 27, but rain washed out both games in Rawalpindi.
According to the PCB Ticket Refund Policy for the ICC Champions Trophy 2025, ticket holders are eligible for a full refund if a match is abandoned before the toss.
“Ticket holders can claim their refund between 10th to 14th of this month [March],” the state-run Radio Pakistan broadcaster reported.
“The purchaser will have to visit a designated outlet along with the original ticket.”
Hosts Pakistan crashed out of the tournament after a humiliating six-wicket loss to archrivals India.
The winner of Sunday’s match between India and New Zealand will play Australia in the semifinal, with the loser taking on South Africa.
Irrespective of the placing and opponent, India will play the first semifinal in Dubai on Tuesday after they refused to travel to Pakistan because of political tensions.
New Zealand will leave for Lahore after Sunday’s match, with the second semifinal to be played at Qaddafi Stadium on Wednesday.
Pakistan Cricket Board announces full ticket refunds for rain-washed Champions Trophy matches
https://arab.news/jwcx9
Pakistan Cricket Board announces full ticket refunds for rain-washed Champions Trophy matches
- The matches were due to be played between Australia and South Africa, Bangladesh and Pakistan
- Ticket holders are eligible for a full refund if a Champion Trophy match is abandoned before toss
Pakistani student launches ‘Urdu ChatGPT’ AI model
- Developer says “Qalb” is largest large language model built exclusively for Urdu
- Project highlights push to localize artificial intelligence for non-English users
ISLAMABAD: A Pakistani student studying in the United States has launched an artificial intelligence model designed exclusively for the Urdu language, a development its creator says could help bridge longstanding gaps in access to advanced digital tools for millions of speakers worldwide.
The project, called Qalb, is positioned as an Urdu-first large language model at a time when most generative AI systems are primarily trained on English and other widely used global languages. Supporters of language-specific models argue they can improve accuracy, cultural relevance and accessibility for users in education, business and public services.
Urdu is spoken by more than 230 million people globally, including in Pakistan, India and diaspora communities, but remains under-represented in advanced AI systems. Efforts to localize artificial intelligence have increasingly been seen as critical for widening participation in digital economies, particularly in developing countries.
“Qalb is now recognized as the world’s largest Large Language Model created exclusively for the Urdu language,” Taimoor Hassan, the project’s developer, was quoted this month in a report in state-run news agency APP.
“Trained on a massive dataset of 1.97 billion tokens and benchmarked across seven-plus international evaluation frameworks, Qalb outperforms existing Urdu-focused AI models on key real-world performance indicators, setting a new standard for natural language processing in Pakistan,” Hassan said.
“This is a development model and in the next phase we would soon launch App for mobile and web so that people could use and benefit from Qalb ChatGPT.”
Hassan completed his undergraduate degree in computer science at FAAST University’s Peshawar campus and is currently studying for a master’s degree in computer science and software engineering at Auburn University in the United States. According to APP, he is a serial entrepreneur who has previously launched and exited multiple startups and has represented Pakistan at international technology forums.
“I had the opportunity to contribute in a small way to a much bigger mission for the country,” Hassan said.
“Together with my undergraduate roommates and teammates, Jawad Ahmed and Muhammad Awais, we are committed to continuously fine-tuning localized models for niche industries, which we believe can become a major breakthrough for Pakistan.”
Both collaborators are also graduates of FAAST University Peshawar Campus and are currently studying in Germany, APP reported.
The team behind Qalb said the model is intended to support local businesses, startups, educational platforms and voice-based digital services, arguing that meaningful innovation is no longer limited to large technology firms.
“Technology is no longer locked behind big budgets or big teams. With the right mindset, even a small group can build products that educate, automate, and serve millions,” Hassan told APP.
