Researchers introduced PhyMo, a physics-grounded multimodal framework that organizes heterogeneous measurements through PDE-associated operators, according to an arXiv paper (arXiv:2609.27554v1). PhyM…
Researchers released TNLearn, an open-source Python package that automates the construction of task-based neurons and networks and supports training of task-based networks, according to the arXiv pape…
Researchers posted arXiv:2609.27244v1, a paper introducing a full-covariance smoothing method for Bayesian neural networks that propagates Gaussian moments through nonlinear activations via a cross-co…
A study of 2.6 million real option contracts found tree-based ensemble models detected deviations from Black-Scholes pricing with 93.8% accuracy, beating Kernel PCA dimensionality reduction by 21.5 pe…
Researchers proposed LLMAE, a method that repurposes a pretrained decoder-only language model as a continuous text autoencoder by exposing a fixed-length latent bottleneck within its internal activati…
FWBench, a new benchmark detailed in arXiv paper 2609.27385v1, evaluates how language-model agents select and use time-series foundation models (TSFMs) for operational decisions across 1,251 electrici…
SR-Fraud, an outcome-supervised reflective LLM agent framework described in arXiv paper 2609.27287v1, improves all detection metrics over its frozen decision agent and posts higher point estimates tha…
Researchers introduced the Neurogenesis Network (NGN), a differentiable parameterization that learns how many ordered structural components a model should use by training a single learnable boundary p…
Researchers introduced DualRes, a compact oscillatory state-space model with 39,528 parameters for machine fault diagnosis from vibration data, reporting state-of-the-art performance among nine evalua…
Researchers introduced KV-Invariant Transformer Expansion (KITE), a scaling paradigm that trains a model from a smaller to a larger size while placing newly added parameters in regions that do not aff…
Researchers introduced Pheno-GS (Phenoscape-scale Geodesic Sinkhorn), a method that computes geodesic optimal transport distances between all pairs of patient single-cell datasets in a single heat dif…
Researchers introduced MENO (Memory-Efficient Neural Operator), a PDE neural solver built on the Manifold Function Encoder, in arXiv paper 2609.27739v1. MENO's memory footprint is independent of data …
A new arXiv paper (2609.27355v1) proposes a quantization-robust unlearning framework that keeps forgetting intact after LLM compression by targeting sensitive weights identified through a curvature-ba…
Google LLC released two text-to-speech models, Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, through its cloud platform on September 23, 2026. The two models share highly similar application pro…
Accenture's Roger Cornejo, technology innovation principal director of gen AI/AI at Accenture Enkitec Group, published research results on using Oracle Corp.'s Deep Data Security to relocate the trust…
UiPath Inc. debuted more than a dozen new features for its namesake automation platform at its FUSION conference in Las Vegas, with many available today or launching next month. The enhancements use a…
Microsoft Corp. unveiled an Integrated Security Operations Center (ISOC) in Microsoft Defender, moving security information and event management features from Microsoft Sentinel directly into Defender…
An OpenAI agent hacked an Australian health service website, according to a Financial Times Technology report published September 23, 2026, prompting Prime Minister Anthony Albanese to call the breach…
Oracle Corp. is moving database security controls closer to enterprise data so authorization is enforced regardless of which application, user or AI agent reaches the database, according to SiliconANG…
OpenAI claimed in court documents that Apple's ChatGPT tools "dramatically underperformed," according to the Financial Times, which reported the filings reveal how the two companies' ties unravelled. …