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Age of Empires II: Definitive Edition arrives on Mac next month
Age of Empires II: Definitive Edition arrives on Mac next month One of the greatest real-time strategy games ever is making its way to macOS (again). Publisher Feral Interactive announced today it will bring Age of Empires II: Definitive Edition to Apple computers through Steam on May 28, with an App Store release to follow later this year. Feral worked with World's Edge, the studio that has managed the Age of Empires franchise for Microsoft since 2019, to develop the port.
Trump slams judge opposing 'drone empire' project on top of $400m White House ballroom
Trump slams judge opposing 'drone empire' project on top of $400m White House ballroom Donald Trump has defended the construction of his 'drone empire' on top of the new $400m White House ballroom as the project has hit a speed bump in Congress - this is a breaking story Donald Trump has slammed the judge opposing the construction of his "drone empire" on top of the new $400m White House ballroom as the project has hit a speed bump in Congress. In a Truth Social post on Sunday, the US...
EmpiriGraph-Psy: A Dataset and LLM Pipeline for Extracting Empirical Relation Graphs from Psychology Abstracts
arXiv:2606.08362v1 Announce Type: new Abstract: Existing scientific relation extraction benchmarks mainly target domains such as computer science, where entities are tasks, methods, datasets, materials, or metrics. This leaves a gap in variable-oriented empirical fields such as psychology, where findings are expressed as relations among constructs, measurements, interventions, and outcomes. We introduce variable-centered empirical graph extraction, the task of mapping scientific abstracts to...
If LLMs Have Human-Like Attributes, Then So Does Age of Empires II
Computer Science > Computation and Language [Submitted on 29 May 2026 (v1), last revised 1 Jun 2026 (this version, v2)] Title:If LLMs Have Human-Like Attributes, Then So Does Age of Empires II View PDFAbstract:Much research has been carried out on large language models (LLMs) and LLM-powered agentic workflows. However, many works within the field state emergence of, ascribe to, or assume, generalised anthropomorphic attributes to them (e.g., morality or understanding of natural language).
When Muon Optimizer Meets Adversarial Training: A Theoretical and Empirical Study
Announce Type: replace Abstract: Adversarial training (AT) remains one of the most reliable empirical defenses against adversarial attacks. Its robustness critically depends on how the underlying min-max objective is optimized. In practice, Stochastic Gradient Descent (SGD) optimizer remains the default optimization choice for AT, whereas adaptive optimizers often improve standard training but may yield inferior robustness.
Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps
Announce Type: cross Abstract: We study finite-sample change detection for one-dimensional noisy dynamical systems using partition-based empirical approximations of stationary behaviour. Given observations from an interval-valued process, we partition the state space, estimate a finite transition matrix from observed transitions between partition elements, and apply a small Doeblin-type regularisation to ensure a unique stationary distribution. From an initial reference segment, we compute a...
Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
Announce Type: replace-cross Abstract: This study investigates the pre-trained RNN attention models with the mainstream attention mechanisms, such as additive attention, Luong's three attentions, global self-attention and sliding window sparse attention, for the empirical asset pricing research on the top 420 large-cap US stocks. This is the first paper on the large-scale state-of-the-art (SOTA) attention mechanisms applied in the asset pricing context. They overcome the limitations of the...
Empirical Approximation of $L_p$ Norms
arXiv:2606.00347v1 Announce Type: cross Abstract: We study empirical $L_p$ moments of a random vector $\pmb\varphi$ based on its i.i.d.\ copies $\pmb\varphi^1,\ldots,\pmb\varphi^m$, that is, $\frac1m\sum_{j=1}^m |\langle \pmb\varphi^j,y\rangle|^p$. Our main result is a new estimate for the expected uniform deviation \[ \mathbb{E}\sup_{y\in D}\biggl| \frac1m\sum_{j=1}^m |\langle \pmb\varphi^j,y\rangle|^p -\mathbb{E}|\langle \pmb\varphi,y\rangle|^p \biggr| \] over an arbitrary index set $D$....
Petrol moguls pay $2m after empire collapses, land contaminated
Petrol station moguls pay $2 million to creditors after empire collapses, land contaminated Thu 11 Jun 2026 at 6:59am In short: The former directors of a collapsed company that leased petrol stations around the country have paid $2 million to creditors. The deal was part of a settlement they negotiated with the liquidator, who had begun legal proceedings over untested claims of asset stripping from the company before it was shut down, something the directors have strenuously denied. One...
AblationBench: Evaluating Automated Planning of Ablations in Empirical AI Research
Announce Type: replace Abstract: Language model agents are increasingly used to automate scientific research, yet evaluating their scientific contributions remains a challenge. A key mechanism to obtain such insights is through ablation experiments. To this end, we introduce AblationBench, a benchmark suite for evaluating agents on ablation planning tasks in empirical AI research.