Exact Venue
The venue and reporting time are emailed with the conference schedule after the last date of registration.
International Conference on Advanced Research in Artificial Intelligence and Machine Learning — ICARAIML 2026
Dates
16–17 November 2026
Venue
Kaohsiung City, Taiwan
Field
Advanced Research in Artificial Intelligence and Machine Learning
Venue Location
No. 266, Chengkung 1st Road, Qianjin District , 802 Kaohsiung, Taiwan
Hotel Details
Located in the conjunction of Chengkung 1st Road and Xintian Road, boasting an outdoor pool and 13 international dining options, Grand Hi Lai Hotel provides guests with a cosy accommodation and thoughtful hospitality services. Free WiFi is available throughout the property and free parking is possible on site. Grand Hi Lai Hotel is a 10-minute walk from Love River and MRT Central Park Station, while Kaohsiung Railway Station is a 10-minute drive away. It takes 20 minutes to drive to Taiwan High Speed Rail - Zuoying Station and Kaohsiung International Airport from the property. Featuring air conditioning and a wardrobe, each guest room is fitted with a flat-screen TV, an electric kettle and a refrigerator. Some rooms enjoy beautiful city or sea views. The en suite bathroom has shower facilities, bathtub, free toiletries and hairdryer. The fitness centre offers professional trainer to meet guests' need; the spa centre brings everyone a place to unwind. The meeting room and audio-visual centre come with state-of-the-art meeting equipment. For guests' convenience, the 24-hour front provides free luggage storage and touring information.
The venue and reporting time are emailed with the conference schedule after the last date of registration.
Registered participants can request an invitation letter for their visa application.
Please book flights and hotels only after you receive the “Conference Schedule” email. See the do’s and don’ts.
Present your research, meet peers from over 50 countries and help shape the future of Advanced Research in Artificial Intelligence and Machine Learning.