Industry

U.S. Senate Passes NDAA Bill Authorizing US$1 Billion for Taiwan Defense

Washington: The United States Senate has passed the National Defense Authorization Act (NDAA), which includes authorization of up to US$1 billion in funds for Taiwan-related security cooperation in 2026. According to Focus Taiwan, the legislation had already been approved by the U.S. House of Representatives after both chambers agreed on

Cool, Cloudy Weather with Possible Rain Expected Thursday in Taiwan

Taipei: Taiwan will experience relatively cool weather with a chance of rain, particularly in the north and east on Thursday, due to northeasterly winds, according to the Central Weather Administration (CWA). According to Focus Taiwan, temperatures in northern and northeastern Taiwan will be cooler, while the central and southern regions

U.S. Announces US$11.1 Billion Arms Sale to Taiwan

Taipei: The United States government on Wednesday announced the potential sale of eight arms packages to Taiwan, including HIMARS rocket systems, anti-tank missiles, and drones, at an estimated total cost of US$11.1 billion. It was the second announcement of arms sales to Taiwan by the administration of U.S. President Donald

U.S. Dollar Higher in Taipei Trading

Taipei: The U.S. dollar was traded at NT$31.565 at 10 a.m. Thursday on the Taipei Foreign Exchange, marking an increase of NT$0.039 from the previous close. According to Focus Taiwan, the exchange rate movement reflects the ongoing fluctuations in the currency market. Analysts are monitoring the situation to assess any

Taiwan Shares Open Lower as Market Begins Trading

Taipei: The Taiwan Stock Exchange’s main index opened down 77.72 points at 27,447.45 Thursday on turnover of NT$9 billion (US$285.26 million). According to Focus Taiwan, the market experienced a decline as trading commenced for the day. The turnover reflects the initial trading activity and investor sentiment at the start of

Taiwan Team Identifies Internet Addiction by Analyzing Brain Waves

Taipei: A Taiwanese research team has developed a machine-learning model that analyzes electroencephalography (EEG) brain-wave patterns to distinguish individuals with internet addiction from healthy subjects with 86 percent accuracy, researchers announced Thursday. The method’s accuracy is significantly higher than that of self-report measures, Huang Hsu-wen, an assistant investigator at the