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India postpones winter games in Kashmir citing ‘insufficient snowfall’

By Fayaz Bukhari SRINAGAR, Feb 17 (Reuters) – India postponed its national winter games on Monday citing a lack of snow in the northern Kashmir territory’s ski resort of Gulmarg, where the event was to be held this month. Around 300 athletes were expected to compete in four snow sports – ski mountaineering, alpine skiing, snowboard, and Nordic skiing – in the games, kashmiri_production which had been due to be held from February 22 to 25. “We have decided to postpone the event as key ski slopes lack sufficient snow,” Rauf Tramboo, president of the Winter Games Association of Jammu and Kashmir, told Reuters. The slopes normally get seven to eight feet (about 2 meters) of snowfall. A new assessment will be conducted once the snow conditions improve and a revised update will follow, the Kashmir Sports Council said on Monday. A similar lack of snowfall last January had caused a drop in visitors to ski resorts and hotels in the Himalayan region, which is claimed in full by India and Pakistan but ruled in part by both. As Kashmir sees a 79% rainfall deficit so far this year, experts fear the prevailing hot and dry weather could also affect its horticulture sector – the primary contributor to its economy – cause forest fires, and dry up lakes. Kashmir produces 2.5 million metric tons of fruit annually, with apple being its main crop, and is known for its snow-topped mountains, scenic lakes, lush meadows, and tulip gardens. “In February, we recorded temperatures 12 degrees Celsius (53.6°F)above normal. This has caused crops that should remain dormant until late February to become active in winter only,” said agrometeorologist Sameera Qayoom, adding this was a “worrying pattern”. Dozens of springs in Kashmir have already dried up because of the dry weather, including one at the 17th century Mughal Garden in Achabal town, located about 70 km (40 miles)south of the summer capital Srinagar. (Writing by Sakshi Dayal; Editing by Angus MacSwan)

การ์ดจอกับยุค AI

ในอดีตที่ผ่านมา การ์ดจอถูก พัฒนาสำหรับ ภาพวิดีโอเกม โดย มุ่งที่กราฟิกสวยงาม แต่เมื่อ ยุค AI เริ่มต้น GPU ได้ เปลี่ยนบทบาท กลายเป็น พลังหลัก ในการ ฝึกโมเดล AI ด้วย พลังประมวลผลแบบขนาน ที่ เหนือกว่า CPU NVIDIA และ AMD พัฒนาเทคโนโลยี เพื่อ สนับสนุนปัญญาประดิษฐ์ เช่น ชิปสำหรับการคำนวณ ทำให้ การ์ดจอสมัยใหม่ เป็น หัวใจของการเรียนรู้เครื่อง ตั้งแต่ปัญญาประดิษฐ์พัฒนา การ์ดจอได้ เปลี่ยนเป็นพลังหลัก ของ งานโมเดลอัจฉริยะ โดย เร่งการประมวลผล ใน การฝึกโมเดลลึก เช่น การวิเคราะห์ข้อความ NVIDIA นำเสนอชิป เช่น การ์ด AI ล้ำสมัย เพื่อ สนับสนุนการคำนวณหนัก ส่วน AMD สร้าง MI รุ่นใหม่ สำหรับ งาน AI และการวิจัย สำหรับผู้เชี่ยวชาญ GPU ลดระยะเวลา จาก สัปดาห์เหลือชั่วโมง ทำให้ AI เติบโตเร็ว จาก ยุคแรกของปัญญาประดิษฐ์ การ์ดจอได้ พัฒนามาสู่ แกนกลางของนวัตกรรม ไม่ว่าใน วงการพัฒนา หรือ แอปพลิเคชัน AI ผู้ผลิตใหญ่ ยังคง ผลักดันความก้าวหน้า เช่น ชิป AI ขั้นสูง เพื่อ ตอบโจทย์อนาคต และใน วันหน้า GPU จะยังคง ขับเคลื่อน AI ด้วย พลังที่สูงขึ้น