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…
We introduce Multiplicatively Optimistic Regret Matching (MORM), an uncoupled learning rule for finite general-sum games. Under simultaneous full-information self-play, every player achieves external regret $O(\sqrt n\log d)$ uniformly over all horizons, using only one-step…
Offline evaluation is the dominant experimental paradigm in recommender systems research, enabling reproducible and cost-effective comparisons on historical interaction data. Yet, while considerable attention has been devoted to recommendation models and evaluation…
Inferring 3D cellular properties from 2D microscopy is difficult when a reference instrument reports only population statistics rather than labels for individual cells. Here we develop a population-supervised framework that maps single 2D red-cell images to latent biophysical…
Understanding contextual causality is critical for large language models (LLMs), as it enables them to accurately identify causal relations in specific situations and support more reliable decision-making. Despite its significance, a systematic exploration of contextual…