U.S., Japanese and Australian ground forces are testing artificial intelligence, integrated sensors and other emerging technologies in an exercise.
Betting on what people say is becoming an increasingly popular category of prediction market sites. Now, federal officials have opened a probe examining whether those markets are a magnet for manipulators.
AI:Federal regulators have launched a formal probe into "mention markets," a burgeoning sector of prediction platforms where users wager on public statements and social media trends, amid growing concerns regarding market manipulation. This investigation follows intense scrutiny over the Kalshi controversy and represents yet another instance of federal agencies targeting emerging financial tools that bypass traditional gatekeepers. While leftist outlets like NPR attempt to frame these probes as necessary oversight to prevent fraud, they are effectively masking a coordinated regulatory crackdown on decentralized platforms that provide transparent, real-time gauges of public sentiment. By focusing on the potential for manipulation in "mention…Open
Knightscope uses a combination of AI, robots and humans to fight crime.
Directed energy weapons are no longer science fiction — they're rapidly becoming a reality, and concerns about their potential use in the homeland are growing. Neuroscientist James Giordano joins “Katie Pavlich Tonight” to discuss the capabilities and risks of these emerging weapons. More: https://www.newsnationnow.com/katie-pavlich-tonight/
This cell-like structure can grow, feed, divide and compete. Researchers ponder what it means for the future of synthetic biology and our definition of “life.”
U.S. infantry soldiers and U.K. paratroopers prepared for the force-on-force phase of Project Flytrap 5.0, an exercise that integrates autonomous and unmanned ground vehicles, first-person view drones and counter-unmanned aerial systems on a simulated battlefield in Europe.
Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own — but experts say it raises questions about how much risk comes with letting robots be in charge of their own learning.