OpenAI is expanding ChatGPT for Teachers to 55 U.S. school systems, providing secure AI tools, training, and support to over 100,000 additional educators and staff.…
Legendary investor Stanley Druckenmiller told NOTUS reporter Jeff Stein he used AI to help draft his Wall Street Journal op-ed criticizing Treasury Secretary Scott Bessent, drawing praise from finance…
Researchers propose WarpSAC, a family of off-policy reinforcement learning algorithms that adapt stabilizers to data regime, improving normalized score-step AUC by 4.5% over FlashSAC across nine CPU-s…
Researchers propose a mesh-free multiresolution deep energy method for phase-field modeling of brittle fracture, using a single neural network to represent displacement and phase fields trained by min…
Researchers introduced BioKERN, a multimodal spatial representation-learning framework that incorporates biological structure as an explicit inductive bias for histology-to-transcriptomics neighborhoo…
Researchers introduced an analytic early stopping rule for neural network training that estimates the optimal stopping time without training, using Rademacher complexity with L1-norm instead of L2-nor…
Researchers at an undisclosed institution propose a double-loop gradient-based algorithm for learning behavior policies that reduce online policy evaluation variance in reinforcement learning while re…
Researchers propose CoDrift, a compositional framework for offline reinforcement learning that combines three objective-level fields into a unified policy field, achieving the best average rank across…
A hybrid two-stage machine learning pipeline for fault detection and classification in power transmission systems raised Line-fault end-to-end accuracy from 31.3% to 95.8% on the TLFaultDataset, accor…
PinSieve, a production selective vision-language-model serving agent deployed in a large-scale enterprise content-quality pipeline, filters 2.05x more non-actionable items than the previous module, im…
Researchers propose Joint Distribution Alignment for Universal Domain Adaptation (JAUA), a new algorithm that aligns joint distributions using Chi-Square divergence and a progressive pseudo-labeling m…
Researchers introduced Influence-Aware Policy Optimization (IAPO), a method that uses typed influence-dependency graphs to redistribute trajectory-level advantages for credit assignment in multi-turn …
Researchers introduced S-matrix informed neural networks (SINNs) to reconstruct scattering amplitudes from noisy, inconsistent measurements, demonstrating their ability to learn directly from data whi…
A new arXiv preprint (2608.24007v1) shows that multilayer perceptrons (MLPs) develop monosemantic specialized neurons aligned with specific predictive features in clustered regression data, improving …
Researchers introduced a physics-integrated operator learning framework using a feed-forward Gaussian splatting (FFGS) representation that reduces relative L2 error by 1.5x-2.2x over long-horizon auto…
Researchers introduced MnemoDyn, a dynamical-systems model for resting-state fMRI that was trained on roughly 40,000 rs-fMRI sequences from diverse public and available-by-permission datasets. The mod…
Researchers Matteo Cardoni and Sam Leroux introduced a training technique for Predictive Coding Networks (PCNs) that pairs a Generative PCN with a support Encoding PCN, trained in parallel to match ne…
Researchers propose the Sparse-Activation-ReLU (SAR) layer, a single-step alternative for neural operators that achieves over a fivefold improvement in the combined Latency-Error-Energy (LEE) metric c…
Researchers introduced InfoDPP-PAC, a patch-selection framework for whole-slide image analysis that combines teacher-seeded Gaussian process relevance modeling, determinantal diversity, submodular gre…
Researchers presented the Transformer Accelerator (TFA), a synthesizable INT8 hardware chip for transformer inference, achieving zero mismatches across 25 tests and 34 constrained-random runs, with 10…