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Related Articles from SNS
Unlocking Exponential and Unbounded Robust Gains in Shannon Capacity of Classical Multiple Access Channels with Causal CSIT via Quantum Entanglement Assistance
arXiv:2606.05412v1 Announce Type: new Abstract: Quantum entanglement assistance is known to improve the Shannon capacity of classical communication networks but the largest gains noted thus far are rather modest (less than 6%), motivating the question: are large capacity gains ever possible? It is shown in this work that in the presence of causal channel state information at the transmitters, quantum entanglement assistance provides a multiplicative capacity advantage that grows...
Apollo, Blackstone back Anthropic's $35 billion capacity expansion in new Broadcom tie-up
Apollo, Blackstone back Anthropic's $35 billion capacity expansion in new Broadcom tie-up June 9 : Apollo and Blackstone are financing a $35 billion expansion of AI computing capacity for Anthropic using Broadcom's custom chips and networking solutions as part of a tie-up between the asset managers and the chipmaker. The initial commitment will expand the Claude Code creator's AI computing capacity by one gigawatt, the companies said on Tuesday. One gigawatt is enough to power about 750,000...
Reformulating Energy Storage Capacity Accreditation Problem with Marginal Reliability Impact
arXiv:2601.22096v2 Announce Type: replace Abstract: To enhance the efficiency of capacity markets, many electricity markets in the U.S. are adopting or planning to implement marginal capacity accreditation reforms. This paper provides new insights into energy storage capacity accreditation using Marginal Reliability Impact (MRI). We reformulate the commonly used reliability-based storage dispatch model as an optimization problem, enabling direct calculation of the MRI from the Lagrange...
Hosting Capacity Assessment and Enhancement for Edge Data Centers in Active Distribution Networks
new Abstract: With the increasing demand for edge computing and AI-driven workloads, integrating small and medium-sized edge data centers into distribution networks has become increasingly important. This paper investigates the hosting capacity of distribution networks for data center integration and identifies the key physical mechanisms that limit the maximum allowable data center load. The baseline analysis shows that data center hosting capacity varies significantly across candidate...
Grid Capacity Expansion under Data Centers and Electrified Manufacturing Large Loads
arXiv:2605.29053v2 Announce Type: replace Abstract: In this paper, we consider the expansion of power grids under emerging large loads from data centers and electrified manufacturing. We develop a multi-period grid capacity expansion model to determine optimal investment profiles for power generation, storage, and transmission capacity while accounting for hourly power dispatch, such that electricity demand is satisfied and the total planning and operation cost is minimized. We also propose...
A Dynamic Capacity Allocation Model for DERs under Non-Firm Connection Agreements
arXiv:2606.03887v1 Announce Type: new Abstract: The growing penetration of distributed energy resources (DERs) intensifies congestion in distribution networks by introducing bidirectional power flows and increasing competition for limited network capacity, underscoring the need for effective and efficient congestion management, including flexible grid-access schemes. This paper proposes a bilevel optimization model for the dynamic allocation of connection capacity to DERs under non-firm...
Regulating EV Charging Markets for Fairness: Incentives for Pricing and Capacity Decisions
arXiv:2606.01266v1 Announce Type: new Abstract: The transition to electric mobility calls for charging infrastructure that is both efficient and socially equitable. This paper examines fairness in electric vehicle (EV) charging station pricing and capacity through a game-theoretic perspective. We model a non-cooperative market in which competing charging service providers set prices and capacities while customers choose stations based on generalized cost, leading to a market equilibrium.
Shortcomings and capacities of real-constrained neural networks in complex spaces
Announce Type: new Abstract: We find the asymptotic ratio between the storage capacities when enforcing real pre-activations in a complex hypothesis class as opposed to complex ones in the same class. Our methods depend on Gardner volume comparisons at critical capacity. Our proof relies on an application of the Harish-Chandra-Itzykson-Zuber (HCIZ) formula, nonstandard in literature.
Vitality capacity preservation through lifelong aerobic exercise: a pathway to healthy ageing
Background The distinction between healthy and pathological ageing has led to the concept of vitality capacity (VC), which can be understood as the body physiological reserve. An individual VC can be estimated using 12 biomarkers spread across 3 domains: immune and stress response, energy and metabolism and neuromuscular function. Vitality capacity may be preserved by lifelong physical activity.
Capacity, Not Format: Rethinking Structured Reasoning Failures
Announce Type: new Abstract: Prior work treats structured output as a reasoning tax, but this framing is incomplete: the cost of formatting depends strongly on a model's spare capacity. Using information-matched prose controls and a four-level schema complexity gradient, we separate format-specific effects from prompt-length confounds across 4 models and 5 benchmarks with 0% parse failures on successfully generated responses.