Meta is taking its Muse AI agent beyond the conventional chatbot interface and into the physical world with Muse Gadgets, an open-source initiative that allows developers and hobbyists to build custom hardware connected to Muse. The move could prove more strategically important than the hardware itself because it gives Meta a way to experiment with how people will interact with AI agents outside smartphones, browsers and conventional applications. The initiative provides open

Artificial intelligence is changing protein engineering from a largely experimental discipline into an increasingly computational design process. Models can predict molecular structures, generate protein sequences, and propose entirely new biological molecules with characteristics that may be difficult to discover through conventional trial and error. That progress creates a new problem: provenance. When an AI system generates a protein sequence or predicts a molecular struct

Artificial intelligence is often discussed as a force that will automate human labor, reduce the need for workers, and transform office-based professions. NVIDIA CEO Jensen Huang is highlighting another side of the AI revolution: the enormous physical economy required to build and operate the infrastructure behind increasingly powerful AI systems. Speaking alongside Elon Musk at a White House technology gathering in September 2026, Huang said the construction of AI data cente

Spacecraft rendezvous and docking is one of the most demanding tasks in orbital operations. Two vehicles must approach one another while traveling around Earth at roughly 28,000 kilometers per hour, with no atmosphere to provide natural braking and little margin for navigational error. A maneuver that resembles ordinary parking on Earth becomes a tightly coupled problem involving orbital mechanics, computer vision, guidance systems, propulsion, uncertainty management, and rea

The explosive growth of artificial intelligence is creating an infrastructure problem that is increasingly difficult to solve on Earth. Modern AI systems require enormous amounts of computing power, electricity, cooling capacity, land and network infrastructure. As demand for model training and inference expands, researchers and technology companies are beginning to investigate an unconventional alternative, moving some of that computing infrastructure beyond the atmosphere.

The artificial intelligence industry is entering an infrastructure phase in which access to advanced computing hardware is only one part of the deployment equation. As AI factories expand from experimental clusters into production-scale environments, the practical limits of electricity, thermal management, water, grid connections, and facility design are becoming increasingly important. NVIDIA is addressing this challenge with NVIDIA DSX Ready, a qualification program designe

For years, the dominant assumption in artificial intelligence has been that increasingly capable systems should communicate through increasingly sophisticated language. Large language models have made that assumption feel natural. They read text, generate text, reason through prompts, call tools, write software, summarize information, and increasingly operate as autonomous agents. But a different architectural idea is beginning to emerge: not every machine needs an AI system

The rapid evolution of artificial intelligence is moving the central AI debate beyond questions of productivity, automation, and machine intelligence toward a more fundamental issue: how much autonomy should advanced AI systems ultimately possess? Mustafa Suleyman, Microsoft’s AI chief, has recently framed this question in unusually biological terms. He has warned that systems capable of independently pursuing objectives, generating income, controlling assets, and operating b

Artificial intelligence is moving from a technology that performs tasks for humans toward systems capable of reasoning, operating digital environments, conducting research, and increasingly participating in the process by which future AI systems are developed. That transition is creating a problem that is no longer confined to technical laboratories: humanity may be approaching a period in which machine intelligence advances faster than society’s ability to understand, regula

For nearly a century, the Navier-Stokes equations have represented one of mathematics’ most stubborn unanswered questions. These equations are central to understanding how fluids move, yet mathematicians have never established whether their three-dimensional solutions must remain smooth forever or can develop singularities in finite time. OpenAI now says an internal artificial intelligence system has produced a proof showing that such a singularity can occur. The company repo

Apple’s acquisition of California-based Sonera Magnetics marks a potentially important step in the evolution of wearable technology, neurological sensing and human-computer interaction. Sonera has developed semiconductor-based magnetic sensors designed to detect extremely weak magnetic signals generated by activity in the brain and body. The technology could eventually help transform how physiological and neural information is measured, moving some capabilities that have trad

Apple has entered a new leadership era at a particularly consequential moment for the technology industry. John Ternus has officially succeeded Tim Cook as chief executive officer, ending Cook’s 15-year tenure and beginning a transition that could influence Apple’s product strategy, artificial intelligence ambitions, hardware roadmap, and competitive position for years to come. The timing is significant. Ternus takes charge just as Apple approaches its annual September produc

Artificial intelligence is entering a phase in which the central question is no longer simply how powerful the technology can become. The more urgent question is whether governments, businesses, and societies can adapt quickly enough to manage its consequences. Bill Gates has recently intensified his warnings about this transition, arguing that AI capabilities are advancing faster than the institutions responsible for managing technological and economic change. His concerns e

The security architecture of space is entering a new phase as increasingly valuable digital infrastructure moves beyond Earth. Polish space defense startup ARES Shield has signed an agreement worth up to $6 million with Lonestar Data Holdings to provide active protection for Lonestar’s orbital data infrastructure, marking a significant development in the emerging market for non-kinetic satellite defense. The agreement initially covers three satellites, with the potential to e

Nvidia’s reported $6 billion agreement with AI startup Poolside marks a significant escalation in the battle over the future architecture of artificial intelligence. Rather than simply investing in another model developer, Nvidia is acquiring access to the software infrastructure behind Poolside’s AI development process, committing an additional $1 billion investment, and bringing more than 100 Poolside engineers into its own open-weight AI program. The transaction arrives at

SpaceX has officially completed its $60 billion acquisition of Cursor, transforming a high-growth AI coding company into part of a broader technology ecosystem built around computing infrastructure, artificial intelligence models and autonomous software agents. The transaction is significant well beyond the headline valuation. Cursor is not simply gaining a larger corporate parent. It is gaining direct access to the computing infrastructure that SpaceX has been developing at

Artificial intelligence is rapidly evolving beyond software innovation. As leading AI developers race to build increasingly capable foundation models, computing infrastructure has become one of the industry's most valuable strategic assets. The latest indication of this shift is Anthropic's decision to establish an in-house custom silicon team dedicated to designing AI chips optimized for its Claude family of models. The move represents far more than an engineering expansion.

Artificial intelligence infrastructure is entering a new frontier, and SpaceX is betting that the next major expansion of computing capacity may not happen on Earth. The company is partnering with NVIDIA to develop the computing payload for its planned Starmind AI1 satellites, combining orbital infrastructure, advanced NVIDIA processors, high-speed optical communications, and SpaceX’s launch and satellite capabilities into an ambitious vision for AI computing in space. The pa

IBM is placing one of the technology industry’s most ambitious commercial bets on quantum computing. Chief Executive Officer Arvind Krishna expects the company’s quantum investments to begin making a measurable contribution to revenue and earnings as early as 2028 or 2029, while projecting that quantum computing could ultimately create approximately $1 trillion in value by the end of the 2030s. The prediction is significant because quantum computing has spent decades moving b

Meta CEO Mark Zuckerberg is betting that the next major phase of artificial intelligence will not be defined by chatbots that wait for instructions. Instead, he envisions personal AI agents that understand individual goals, make decisions, perform tasks, and operate continuously on behalf of their users. His prediction is ambitious: within five years, billions of people could have personal AI agents working across areas such as finances, health, household management, and inte