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Lethal drones with facial recognition, armed robots, autonomous fighter jets: we’re at the dawn of a new age of AI-powered warfare, says technologist Alexandr Wang. He explores why data will be the secret weapon in this uncharted landscape and emphasizes the need to consider national security when developing new tech — or potentially face all-out AI warfare.

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Continue reading “War, AI and the New Global Arms Race | Alexandr Wang | TED” »

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One thing i do like about China. they like to publicly lay cards on table of a project in development an opponent has, that is high level top secret. Just to ruffle feathers, lol. like weather modification stuff. Of course US has, and far superior, its just an open play to tweak someones nose.

China says it is building a new AI-based intelligence platform to track global scientists and hoover up breakthrough technologies for its industry and military.

General Atomics’ new air combat drone has flown, another step toward what the Air Force is calling the “first of a second generation” of autonomous aircraft.

The drone, called the XQ-67A, is derived from GA-ASI’s Gambit series of aircraft, which the company is proposing for the Air Force’s program to build robot wingmen, called collaborative combat aircraft, or CCAs.

The new platform is part of the Air Force Research Laboratory’s highly classified Off-Board Sensing Station program, or OBSS. The service awarded GA-ASI and Kratos design contracts in 2021, then picked GA-ASI to actually build the design in 2023.

A new Chinese study claims that machine gun-armed robot dogs are as accurate as trained human marksmen. If true, we could be about to witness a revolution of sorts in urban warfare.

The study conducted by Xu Cheng and his team “demonstrates the feasibility of a legged strike platform,” reports The South China Morning Post (SCMP).

Continue reading “Machine gun-wielding robot dogs are better sharpshooters, claims study” »

She continued: “We’ve certainly had more opportunities to target in the last 60 to 90 days,” adding the US is currently looking for “an awful lot” of rocket launchers in the region.

Moore’s comments provide some of the strongest evidence to date that the US military is using AI targeting systems to identify potential strike areas. She noted that even after Google walked away from the project, experimenting has continued with drone or satellite imagery.

Based at Central Command, or Centcom headquarters in Tampa, Florida, Moore revealed that US forces in the Middle East have been testing AI targeting systems using a combination of satellites and other data sources and conducted exercises over the past year with the technology.

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Summary: A new study combines deep learning with neural activity data from mice to unlock the mystery of how they navigate their environment.

By analyzing the firing patterns of “head direction” neurons and “grid cells,” researchers can now accurately predict a mouse’s location and orientation, shedding light on the complex brain functions involved in navigation. This method, developed in collaboration with the US Army Research Laboratory, represents a significant leap forward in understanding spatial awareness and could revolutionize autonomous navigation in AI systems.

The findings highlight the potential for integrating biological insights into artificial intelligence to enhance machine navigation without relying on GPS technology.