AI's rapid evolution — from AI servers to agentic AI and emerging physical AI — centers on high-performance computing, and integrating general fault-tolerant quantum computers into that stack could change what HPC can do. The transition, however, confronts deep technical mismatches between classical AI servers and quantum processors

"World models" have risen swiftly to prominence in AI discourse—and just as quickly become a source of confusion. Over the past two years, the term has grown simultaneously ubiquitous and ambiguous, invoked across generative AI and robotics research communities to describe fundamentally different architectural paradigms

At the 2026 SelectUS Investment Summit in Maryland, US officials used the flagship investment forum to outline a national industrial strategy prioritizing supply chain reconstruction and alliances, casting manufacturing and AI infrastructure as strategic priorities. The event drew more than 5,500 attendees from over 100 countries

In April 2024, the People's Liberation Army (PLA) executed one of the most significant overhauls of its military architecture in decades. The former Strategic Support Force was disbanded and reorganized into three distinct branches: the Military Aerospace Force, the Cyberspace Force, and the Information Support Force. Together with the existing Joint Logistics Support Force, these constitute a new four-branch support structure — one designed not merely to support terrestrial warfare, but to dominate the space domain itself

The emerging space arms race toward 2030 is no longer defined simply by the number of satellites nations can launch into orbit. Increasingly, it is being shaped by breakthroughs in advanced communications, artificial intelligence (AI), orbital logistics, and rapid launch systems, technologies that could redefine military power in space over the next decade

Over the past 15 years, several major technological paradigms have crossed the commercial threshold from "zero to one" and into mass adoption

The global space and defense industry is undergoing a strategic transformation — from treating space as a force multiplier to claiming it as a domain of sovereign control

Simulators are robotics' most seductive shortcut. Spin up a virtual environment, generate millions of training trajectories at near-zero cost, tune the weather, reposition the obstacles, and repeat — all without touching a single physical robot

Across both sides of the Pacific, robot startups and leading laboratories have reached a consensus over the past year that model architecture is no longer the sole focus. Data has become the core competitive resource. Regardless of how technical approaches evolve, most teams eventually encounter the same problem: the shortage of training data

"The drone is not the weapon. The infrastructure to build it is." This statement, made by Ukrainian president Volodymyr Zelenskyy on March 31, 2026, encapsulates the direction of recent US policy reforms as America strives to establish a large-scale, low-cost, and fast-iterating drone industry similar to Ukraine's. The US aims to simultaneously develop military and commercial markets while eliminating reliance on Chinese supply chains and catching up with China's small- and medium-sized drone manufacturing capabilities

Flipping an egg takes less than two seconds, but every step involves continuous sensing, judgment, and force control; spreading jam and arranging plates are the same. The difficulty of these atomic skills does not lie in executing fixed trajectories, but in performing correctly in complex environments

As HPC and AI processors push computing performance to unprecedented levels, transistor density has reached a point where thermal behavior is no longer uniform. Instead of gradual, evenly distributed heating, modern chips exhibit sharp, localized hotspots that concentrate extreme thermal loads within small regions

Large language models (LLMs) have demonstrated three surprising capabilities in recent years: generalization—providing reasonable answers to unseen questions; multitasking—handling programming, translation, financial analysis, and legal interpretation within a single model; and reasoning—breaking down complex problems into stepwise solutions. Together, these abilities have triggered a paradigm shift in the digital world

The drone industry is no longer a niche corner of the defense world — it has become a full-blown industrial race. Across the US, states are competing to attract manufacturers, research centers, and defense contractors as autonomous aerial systems move from battlefield applications toward broader commercial use. The stakes are significant: drone production corridors bring high-wage jobs, federal research dollars, and long-term anchor tenants in the form of defense primes and tech startups alike. Yet beneath the headline investments lies a more nuanced picture

Drones are rapidly transforming modern warfare, offering relatively low-cost alternatives to traditional weapons while driving changes across defense supply chains. Small unmanned aerial vehicles (UAVs), often costing only a few thousand dollars, are now capable of striking targets hundreds of kilometers away, including armored vehicles, ships, and air defense systems