January 12, 2026

South Korea Drone Investigation Targets Possible Civilian Flights

South Korea Drone Investigation Targets Possible Civilian Flights

South Korean authorities on Monday opened an investigation into whether civilians were responsible for drones that North Korea says crossed into its airspace, a case that has raised new security concerns on the Korean peninsula.

The inquiry comes after Pyongyang accused Seoul of carrying out provocations by sending unmanned aircraft across the border, an allegation South Korea’s military has firmly denied.

The Defence Ministry said the probe will focus on determining whether private individuals or groups may have operated the drones without government approval.

President Lee Jae Myung has ordered a swift investigation, warning that unauthorized drone flights would amount …

Jimmy Lai National Security Trial Enters Final Sentencing

Jimmy Lai National Security Trial Enters Final Sentencing

Hong Kong’s High Court on Monday began hearing mitigation arguments for pro democracy media tycoon Jimmy Lai, bringing his landmark national security case to its final stage before sentencing in a trial that has drawn global scrutiny.

Lai, 78, could face life in prison after being convicted last month on multiple charges under the city’s sweeping national security law imposed by Beijing.

The hearing marks the last opportunity for Lai’s legal team to argue for a reduced sentence in a case widely viewed as a test of press freedom and political dissent in the China ruled city.

According …

AI & Health: Who Controls The Cure?—PART 1

AI & Health: Who Controls The Cure?—PART 1

The Promise and Peril of AI in Healthcare

Understanding the dual nature of innovation and risk in the age of intelligent medicine.

By Prof. MarkAnthony Nze

The Rise of Algorithmic Medicine

Artificial intelligence has moved from the margins of experimental medicine to the operational core of contemporary healthcare systems. No longer confined to academic laboratories or pilot studies, AI now informs diagnostic imaging, triage decisions, predictive analytics, drug discovery, and even patient–clinician interactions. Hospitals deploy machine-learning models to forecast sepsis, prioritize emergency admissions, and optimize resource allocation, while governments and insurers increasingly rely on algorithmic assessments to guide public