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Hierarchical framework combining rule-based advisor with goal-conditioned RL for UAV search-and-rescue missions under limited simulation training.
Google Photos is launching a new AI-powered feature you can use to virtually try on clothes you already have. Using the photos in your gallery, Google will create a virtual "wardrobe," allowing you to mix and match outfits, save the looks you like, and share them with friends. A video shared by Google shows how Photos organizes your outfits and individual pieces of clothing into a virtual "wardrobe." You can browse through the outfits you were captured wearing, as well as create new ones by choosing from tops, bottoms, skirts, dresses, and shoes to put together a new look. You can also select...
Nous Research founders hosting AMA on local models and Hermes Agent agentic framework.
Training-free neural architecture search via Random Cloud method discovers minimal network topologies through stochastic exploration without backpropagation.
Developer reports reduced productivity and increased context-switching when using Claude Code, despite occasional utility for problem-solving.
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic function solution. We motivate the approach, compare it to existing work, and prove a bound on its generalization error. The quality of our solutions is evaluated on a synthetic problem and three UCI ML repository datasets. In most cases, we outperform manifold regularization of support vector machines, which is a state-of-the-art approach to semi-supervised max-margin learning.
Mistral Medium 3.5 launched with modified MIT license restricting commercial use without paid license.
Federated Unlearning (FU) is an emerging paradigm in Federated Learning (FL) that enables participating clients to fully remove their contributions from a trained global model, driven by data protection regulations that mandate the right to be forgotten. However, existing FU methods mostly rely on synchronous coordination. This requirement forces the entire federation to halt and wait for stragglers to complete erasure, creating significant delays due to device heterogeneity. Furthermore, these methods often face the problem that the influence of erased data is merely suppressed temporarily a...
Despite being resource-intensive to train, 3D convolutional neural networks (CNNs) have been the standard approach to classify CT and MRI scans. Recent work suggests that deep multiple instance learning (MIL) may be a more efficient alternative for 3D brain scans, especially when the pre-trained image encoder used to embed each 2D slice is frozen and only the pooling operation and classifier are trained. In this paper, we provide a systematic comparison of simple MIL, attention-based MIL, 3D CNNs, and 3D ViTs across three CT and four MRI datasets, including two large datasets of at least 10,0...
Transformer-based architectures have established a dominant paradigm in global semantic perception; however, they remain fundamentally constrained by the profound spatial heterogeneity inherent in natural images. Specifically, the imposition of a uniform global receptive field across regions of varying information density inevitably leads to local feature degradation, particularly in dense conflict zones populated by microscopic targets. To address this mechanistic limitation, we propose ViCrop-Det, a training-free inference framework that introduces adaptive spatial trust region shrinkage. I...
Operating and maintaining (O&M) large-scale online engine systems (search, recommendation, advertising) demands substantial human effort for release monitoring, alert response, and root cause analysis. While LLM-based agents are a natural fit for these tasks, the deployment bottleneck is not reasoning capability but orchestration: selecting, for each operational event, the relevant data (metrics, logs, change events) and the applicable operational knowledge (handbook rules and practitioner experience). Feeding all signals indiscriminately causes dilution and hallucination, while manually cura...
IBM releases Granite 4.1 family with 3B, 8B, 30B open-weight models for on-device and enterprise deployment.
Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel framework for rapid super-resolution multi-signal direction-of-arrival (DoA) estimation based on Hankel-structured sensing and data matrix decomposition of arbitrary rank, under both the $L_2$ and $L_1$-norm formulation. The resulting $L_2$-norm estimator is shown to be maximum-likelihood optimal in white Gaussian noise. The $L_1$-norm estimator is shown to be maximum-likelihood optimal in independent, identically dis...
PS5 Linux exploit proposed as potential hardware for local LLM inference via llama.cpp.
Reddit user reports Claude over-emphasizes corrections in regenerated outputs instead of seamlessly integrating feedback.
We consider the problems of computing the optimal rank-$1$ Hankel and Toeplitz-structured approximation of arbitrary matrices under $L_2$ and $L_1$-norm error. Such problems arise naturally in engineered systems, including the basic few-shot signal Direction-of-Arrival (DoA) estimation problem that is of importance to modern autonomous systems applications. We develop accurate and computationally efficient structured matrix decomposition algorithms for both formulations and then derive analytically grounded small-sample-support DoA estimators for practical sensing system deployments. The resu...
Mistral releases Mistral Medium 3.5, a 128B dense model with 256k context window replacing Medium 3.1 and Magistral for instruction, reasoning, and coding tasks.
RL post-training of frontier language models is increasingly bottlenecked by autoregressive rollout generation, making rollout acceleration a central systems challenge. Many existing efficiency methods improve throughput by changing the rollout or optimization regime, for example, through off-policy execution, replay, or lower-precision generation. We study speculative decoding as a lossless acceleration primitive for RL rollouts that preserves the target model's output distribution. We implement speculative decoding in NeMo-RL with a vLLM backend, supporting both synchronous and asynchronous...
Training-free change detection method combining SAM, DINO, CLIP with temporal memory reasoning for remote sensing.
Decoupling knowledge from task behaviors in parametric RAG to improve adapter composition reliability.
Qwen2.5-7B and open-source small models achieve ESI triage accuracy via clinical vignettes without fine-tuning.
OpenAI scales Stargate compute infrastructure to expand data center capacity for large-scale AI training and deployment.
Reddit user reports Stripe payment errors on Claude platform alongside account ban issues.
Reddit user shares prompt engineering technique to elicit more critical code reviews from Claude by framing code as written by an annoying person.
Probabilistic Transformer framework interprets self-attention as factor graphs; investigation extends PT to time series.
I built a map to help navigate the complex scientific landscape through spatial exploration. How it works: Sourced the latest 10M papers from OpenAlex and generated embeddings using SPECTER 2 on titles and abstracts. Reduced dimensionality with UMAP, then applied Voronoi partitioning on density peaks to create distinct semantic neighborhoods. The floating topic labels are generated via custom labelling algorithms (definitely still a work in progress!). There is also support for both keyword and semantic queries, and there's an analytics layer for ranking institutions, authors, and topi...
Seven families of victims injured or killed in the Tumbler Ridge school shooting in Canada have filed lawsuits against OpenAI and CEO Sam Altman, accusing the company and its leadership of negligence after they failed to alert police to the suspected shooter's ChatGPT activity. The families allege OpenAI stayed silent after its systems flagged activity by shooting suspect Jesse Van Rootselaar in order to protect the company's reputation and upcoming initial public offering (IPO). The Wall Street Journal reports that OpenAI "considered" flagging the 18-year-old's activity to police, which repo...
Reddit discussion on Stanford Paper Review tool; user seeks community feedback on reliability of AI-assisted paper review suggestions.