On Tuesday, Futurum Equities chief market strategist Shay Boloor highlighted comments from Elon Musk during Space Exploration Technologies Corp.’s (NASDAQ:SPCX) third-quarter earnings call, raising questions about whether the industry has enough infrastructure to meet surging demand. SpaceX Struggles to Find Available Chips During the earnings call, Musk stated that he expects the shortage of superintelligence computing capacity to persist for years, adding that SpaceX’s short-term compute contr
Tether leads Mural's $15 million Series A, bringing total funding to $28 million as the startup expands banking and payment infrastructure for AI agents.
Tether led a $15 million Series A funding round for Mural, a fintech startup founded by former Palantir engineers that provides infrastructure for managing payments, accounts, identity verification, and compliance across banking and blockchain networks. This round brings Mural's total funding to $28 million and supports Tether's interest in AI-powered financial services, particularly agentic finance where AI systems can execute transactions autonomously with safeguards. Mural's technology…
Phenom, the leader in applied AI built to redesign work operations for hiring faster, developing better and retaining longer, announced Katie King, an internationally recognised AI strategist, author and adviser on the future of work, as a keynote speaker at IAMPHENOM Europe 2026, taking place 4-5 November in Paris, France.
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Current world models for explicit world simulation typically follow two distinct pathways: (1) video generative models (e.g., Sora), which simulate realistic appearances but fail to preserve 3D consistency; and (2) 3D generative models (e.g., Marble), which generate…
Agentic artificial intelligence (AI) systems hold immense potential for automating complex workflows in materials discovery and design, but extending them to domain-intensive mechanistic investigations remains challenging. Here, we present GBClaw, an agentic AI framework for…
Dexterous multi-finger hands hold promise to unlock diverse skills like functional grasps, in-hand reorientation, and dynamic handover that the human-designed world assumes, yet existing learning recipes force a trade-off. Goal-reaching reinforcement learning generalizes to…