Military

Drones are becoming the deadliest weapons in today’s war zones, and they’re not just following orders. Should AI decide who lives or dies?

The latest international AI summit exposed deep divisions between major world powers regarding AI regulations.

Google revised its AI principles, reversing previous commitments to avoid work on weapons, surveillance, and other military applications beyond non-lethal uses like communications, logistics, and medicine.

The United States proposed limits on exports of AI technology that would dramatically expand previous restrictions, creating a new international hierarchy for access to advanced chips and models.

The largest manufacturer of AI chips told its Chinese customers it would stop fabricating their most advanced designs, further limiting China’s access to AI hardware.

Two top AI companies changed their stances on military and intelligence applications.

An AI system is scouring battlefields for landmines and other unexploded ordnance, enabling specialists to defuse them.

The United States military is using computer vision to target enemy positions in the Red Sea and elsewhere.

The United States military aims to field a multitude of autonomous vehicles.

Another prominent AI pioneer expressed regret over his life’s work amid rising concerns over the technology’s risks.

Large language models may soon help military analysts and commanders make decisions on the battlefield.

Nations tentatively agreed to limit their use of autonomous weapons. Representatives of 60 countries endorsed a nonbinding resolution that calls for responsible development, deployment, and use of military AI. Parties to the agreement include China and the United states but not Russia.

A Chinese naval ship navigates autonomously and controls a swarm of onboard drones. The Zhuhaiyun, billed as the first autonomous drone carrier, officially entered service after 12 hours of trials on open water, the South China Morning Post reported.

Neural networks are helping humanitarian observers measure the extent of war damage to Ukraine’s grain crop. Analysts from the Yale School of Public Health and Oak Ridge National Laboratory built a computer vision model that detects grain-storage facilities in aerial photos.

Advanced AI requires advanced hardware. What if the global supply of high-end AI chips dries up? Most of the world’s advanced AI processors are manufactured in Taiwan, where tension with mainland China is rising.