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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, improves review produc…

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 method to handle Univ…

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 service agents. Expe…

Researchers introduced S-matrix informed neural networks (SINNs) to reconstruct scattering amplitudes from noisy, inconsistent measurements, demonstrating their ability to learn directly from data while respecting first …

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 data efficiency over…

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 neural activations wit…

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 autoregressive rollouts …

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 model outperforms state…

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 compared with Variabl…

Researchers introduced InfoDPP-PAC, a patch-selection framework for whole-slide image analysis that combines teacher-seeded Gaussian process relevance modeling, determinantal diversity, submodular greedy optimization, an…

KraftApp, an AI-powered app builder, lets users describe an app in plain language and automatically generates a full product with frontend, backend, auth, payments, and Postgres, then ships it as a server-rendered web ap…

ModelBest's Pinea Pi desktop edge AI node will launch via Kickstarter from late September through late October, with early-bird prices of $1,999 for Lite and $2,999 for Pro, pairing local MiniCPM models with Intel or Nvi…

Rogo Technologies, a New York-based AI startup valued at US$2 billion, is making Singapore the hub of its Asia-Pacific expansion and plans to hire 150 to 200 staff in the region by the end of 2027. The company, whose pla…

Asian shares mostly rose on Wednesday as falling oil prices and optimism over artificial intelligence boosted investor sentiment, with Japan's Nikkei 225 gaining 0.6% to 66,227.55. Benchmark U.S. crude dropped $2.06 to $…

OpsCart Labs released an open-source Docker security practical guide with 13 hands-on labs covering CIS-aligned auditing, container hardening, vulnerability management, image trust, seccomp, network security, runtime sec…

A developer highlights the problem of fragmented project history across multiple tools, where decisions and their reasoning are scattered across documents, spreadsheets, chat logs, and design tools, leading to confusion …

GitHub's code intelligence engine, which powers features like code search and Copilot, was run on 1,000 repositories, and the results are now available. The engine, developed by GitHub, analyzes code to provide insights …

Kia will launch the EV3 in the United States with a starting price of $31,385 for the base trim, offering about 220 miles of range, while the top GT AWD trim costs $47,385 and all other trims provide 321 miles of range. …

OpenAI and Broadcom's Jalapeño inference chip, unveiled Tuesday at the Hot Chips conference, delivers 1.5 to 1.9 times more work per watt and 1.7 to 3.6 times lower latency on tested models, according to OpenAI. The chip…

Research released today shows that agentic scaffolding, not the base model, drives most performance gains and benchmark scores are bands influenced by option order and prompt wording, while scaffolding amplifies sycophan…