The Royal Navy tracked a Russian intelligence-gathering ship, frigate and landing ship over 17 days in September and October. We look at the escort of sanctioned cargo ships and the Protector drone’s first operational mission in UK airspace.
After the US midterms, the science community’s key issues are the Dec. 12 funding deadline, the direction of the House Science Committee and probes into NSF and DOE grant terminations. We summarize them from AIP reporting.
India’s Ministry of Defence has signed a contract for eight Next Generation Corvettes, five from GRSE and three from GSL. The 4,950 t ships are due for delivery starting in 2031.
Global warship construction rose about 50% in 2024-25, according to a Euronaval report, with China building 636,000 tons and the U.S. 271,000 tons. We examine what the figures mean and their limits.
Infleqtion ran its compact optical atomic clock Tiqker aboard a U.S. Navy support vessel for about two weeks in an exercise off Southern California. It is meant as an independent timing source when GPS is cut off or jammed.
Physicists rewrote Einstein’s equations and found that gravitational fields can “reconnect” and transfer energy to matter, much like magnetic reconnection behind solar flares.
FuriosaAI’s 820 billion won Series D lifted its valuation to 3.8 trillion won, but nearly half the money came from state and policy funds and no chip giant took a strategic stake. With 2025 revenue of 5.74 billion won, the valuation implies a price-to-sales ratio of about 662 times.
FuriosaAI has raised an 820 billion won Series D, including 370 billion won from Korea’s state-led National Growth Fund. We examine the basis for its 3.8 trillion won valuation and the business risks of RNGD mass production, global orders, Nvidia competition and 2nm/HBM4 development.
TOTE Services has selected Hanwha Defense USA to build a U.S. Navy Medium Landing Ship (LSM) for $269 million, with options for three more. Construction begins in Q4 2027, with first delivery in 2030.
Korea’s 2027 R&D budget proposal of 39.5 trillion won puts 4.1 trillion won into AI. We break down the allocation, slower growth in basic research, faster reviews for large programs and conflict-of-interest concerns.