“Analysis: Colossus 2, one of the world's largest AI datacenters, will use as much water/year as 2.5 average In-N-Outs, assuming only drinkable water and burgers”

“New research indicates that hard drive prices are now pushing an average increase of nearly 50% in the last four months.”

“He shared how he pushes machines into “corners of [AI’s] training data,” where it’s forced to improvise and therefore give you outputs that are “not statistically average.””

“Experimental results underscore Axlerod's effectiveness, achieving an overall accuracy of 93.18% in policy retrieval tasks while reducing the average search time by 2.42 seconds.”

“Unlike prior single-paradigm approaches, which achieve <75% accuracy on out-of-distribution datasets, our method maintains 86.8% average accuracy across seven diverse test sets...”

“Article URL: https://epoch.ai/data-insights/us-vs-china-eci”

“The actual problem is that when you don't give ChatGPT enough constraints, it gravitates toward the statistical center of its training data.”

“DeepSeek solved the instability by constraining the learnable matrices to be "Double Stochastic" (all elements ≧ 0, rows/cols sum to 1). Mathematically, this forces the operation to act as a weighted average (convex combination). It guarantees that signals are never amplified beyond control, regardless of network depth.”

“According to the Wall Street Journal, citing internal financial disclosure documents, OpenAI's current equity incentive program for employees has reached a new high in the history of tech startups, with an average equity compensation of approximately $1.5 million per employee, applicable to about 4,000 employees, far exceeding the levels of previous well-known tech companies before their IPOs.”

“If AI led to a new medical drug that makes the average person 40 to 50% more calm and happier, and had fewer side effects than coffee, would you take this new medicine?”

“The dynamics become effectively Haar-random well before the system can ergodically explore the physically accessible Hilbert space.”

“The paper develops an approximate Stein's Unbiased Risk Estimator (SURE) for the average mean squared error and establishes asymptotic optimality and regret bounds for a class of machine learning-assisted linear shrinkage estimators.”

“The best solution approach for a practical path-based model reduces the IP gap by an average of 26.5% and 22.5% for the two largest instance groups, compared to solving the reformulation alone.”

“The authors find that the background noise at 100 μHz is dominated by drift with a power law of 1/f^2, accompanied by a few dominant two-level fluctuators and an average linear correlation length of (188 ± 38) nm in the device.”

“BEDA consistently outperforms strong baselines: on CKBG it improves success rate by at least 5.0 points across backbones and by 20.6 points with GPT-4.1-nano; on Mutual Friends it achieves an average improvement of 9.3 points; and on CaSiNo it achieves the optimal deal relative to all baselines.”

“Models that anticoncentrate are not trainable on average.”

“HiGR delivers consistent improvements in both offline evaluations and online deployment. Specifically, it outperforms state-of-the-art methods by over 10% in offline recommendation quality with a 5x inference speedup, while further achieving a 1.22% and 1.73% increase in Average Watch Time and Average Video Views in online A/B tests.”

“PP-ACDC achieves asymptotic (exact) average consensus on any strongly connected digraph under appropriately chosen quantization parameters.”

“The standard quantum variance splits into two non-negative terms: the ensemble variance of weak actual value and a quantum term arising from phase-amplitude coupling.”

“The proposed HOOA achieves significant improvements, which reduces average task completion delay by 2.5% and average energy consumption by 3.1% compared with the best-performing benchmark approach and state-of-the-art DRL algorithm, respectively.”

“DLCM reallocates roughly one-third of inference compute into a higher-capacity reasoning backbone, achieving a +2.69% average improvement across 12 zero-shot benchmarks under matched inference FLOPs.”

“Using rhodium-doped strontium titanate (SrTiO3:Rh) solar water-splitting nanoparticles, we directly image the carrier densities concentrated at oxygen-vacancy surface trap states.”

“The paper reports "exceptionally high deposition rate of 8.7 μm/h with less than 1% AOGs and controllable stress tuning" and "exceptional wafer-average piezoelectric coefficients (d33,f =15.62 pm/V and e31,f = -2.9 C/m2)".”

“PackKV achieves, on average, 153.2% higher memory reduction rate for the K cache and 179.6% for the V cache, while maintaining accuracy.”

“The system achieves 87.7% frame-level accuracy in action segmentation that increased to 93.62% with post-processing, and an average classification accuracy of 76% in replicating expert assessments across all skill aspects.”

“CorGi and CorGi+ achieve up to 2.0x speedup on average, while preserving high generation quality.”

“MedKGI improves dialogue efficiency by 30% on average while maintaining state-of-the-art accuracy.”

“HyperGRL delivers superior representation quality and generalization across diverse graph structures, achieving average improvements of 1.49%, 0.86%, and 0.74% over the strongest existing methods, respectively.”

“The paper establishes $ ilde{O}(\varepsilon^{-2})$ and $O(\varepsilon^{-2})$ sample complexities for achieving average-time and last-iterate $\varepsilon$-optimality, respectively.”

“”

“The method achieved superior performance compared to state-of-the-art methods on BraTS2020, with average Dice scores of 87.55, 79.36, and 62.67 for WT, TC, and ET, respectively, across fifteen missing modality combinations.”

“The proposed method demonstrates superiority over baseline schemes in terms of average sum rate, robustness to CSI imperfection, user mobility, and scalability.”

“sCTs achieved 99% structural similarity and a Frechet inception distance of 1.01 relative to real CTs. Skull segmentation attained an average Dice coefficient of 85% across seven cranial bones, and sutures achieved 80% Dice.”

“The lower-porosity medium produces higher local and surface-averaged Nusselt numbers.”

“Our approach relies on nonlinear analysis, topological methods, and the theory of strongly continuous semigroups, yielding results applicable to a wide range of models.”

“”

“Online methods can achieve an average success rate of 45/19/77% with just a few thousand queries over three tasks where static methods from existing multi-turn conversation benchmarks find few or even no failure cases.”

“The evaluation protocol jointly measures average accuracy, average cost, and throughput, and builds a ranking score from the harmonic mean of normalized cost and accuracy to enable comparison across router configurations and cost budgets.”

“Sisco reduces noiseless forward-predicted model data to 24% of its original volume on average.”

“AKG kernel agent achieves an average speedup of 1.46x over PyTorch Eager baselines implementations.”

“EquaCode achieves an average success rate of 91.19% on the GPT series and 98.65% across 3 state-of-the-art LLMs, all with only a single query.”

“Agents are susceptible to prompt injection in 25% of tasks on average (13% for GPT-5 to 43% for DeepSeek-R1).”

“Thermodynamics becomes the study of how these shells deform with energy: the entropy is the logarithm of a geometric area, and its derivatives satisfy a deterministic hierarchy of entropy flow equations driven by microcanonical averages of curvature invariants.”

“The paper gives finite-sample uniform convergence bounds for accuracy and calibration functionals of VLM-induced classifiers under Lipschitz stability with respect to prompt embeddings.”

“FANG outperforms FLAP and OBC by 1.5%--8.5% in average accuracy under 30% and 40% sparsity.”

“The proposed framework achieves an overall accuracy of 89.72% and a macro-average F1-score of 85.46%. Notably, it attains an F1- score of 61.7% for the challenging N1 stage, demonstrating a substantial improvement over previous methods on the SleepEDF datasets.”

“”

“By leveraging temporal and depthwise separable convolutions, our most compact model reduces computational complexity to just 8,208 MACs while maintaining an F1 score of 0.972.”

“Our method achieves an average bitrate reduction of 8% compared to the baseline approach.”

“I would expect it be obvious, the _XL should be better than the _M… right? However the more lossy quant is somehow bigger?”