Tactical Intelligence Layer
Starlink is still awaiting security clearance before it can seek spectrum and begin commercial services in India.
<p>Perplexity's pplx-embed-v2-late comes in 2 sizes: a 0.6B model built to run on edge devices, and a 9B model for building high-quality indexes. Its best score is 92.4% on MADQA, and its weakest is 61.2% on ViDoRe v3 Markdown. Both …
<p>Perplexity's pplx-embed-v2-late comes in 2 sizes: a 0.6B model built to run on edge devices, and a 9B model for building high-quality indexes. Its best score is 92.4% on MADQA, and its weakest is 6
arXiv: Evolutionary Architecture Search for Chlorophyll-$a$ Prediction in Lakes using Sentinel-2 Small tabular datasets with expert-designed spectral features are the norm in operational Earth observation, and the networks applied to them are typically hand-designed. We revisit one such published model …
arXiv: QuadTok: Quadtree Visual Tokenizer for Autoregressive Image Generation We introduce QuadTok, a novel framework for visual tokenization and autoregressive image generation. Compared to traditional approaches using 2D grids or 1D token sequences, we propose a hierarchical quadtree structure, bridging …
arXiv: EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution Robot foundation models provide strong visuomotor control, yet their performance can degrade when object positions or task instructions change. Further improvements often require post-training on substantial robot data, which can be …
arXiv: Oracle-Efficient and Parameter-Free Agnostic Smoothed Online Learning Online learning is an attractive framework in many domains because it permits well-defined learning even when data are dependent or chosen adversarially. This generality, however, comes at a steep price, introducing significant …
arXiv: Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models Many of the questions now put to large language models have no correct answer to score against: what a policy is worth, which option a user …
arXiv: RECAST: Learning to Compute the Right Context through Adaptive Evidence Routing Large language models are increasingly applied to tasks grounded in long, heterogeneous information sources. Conventional Retrieval-Augmented Generation (RAG) relies on fixed similarity-based retrieval, while agentic variants adapt queries …
arXiv: Your Prompt Should Do More: Effects of Retrieval Instructions in Embedding Models Prompted embedding models have recently received increasing attention, particularly for retrieval, where detailed retrieval instructions are provided as part of the retrieval prompt. Several new datasets and …
Pioneering computer scientist led the development of the software for Nasa's Apollo mission and was awarded the Presidential Medal of Freedom.
arXiv: RECAST: Learning to Compute the Right Context through Adaptive Evidence Routing Large language models are increasingly applied to tasks grounded in long, heterogeneous information sources. Conventional Retrieval-Augmented Generation (RAG) …
arXiv: RoboJEPA: Scaling Robotic Latent World Models Latent world models have shown a remarkable ability to predict future states and to plan in the real world. In practice, however, we …
arXiv: RollVerify: Bridging Efficiency and Accuracy in Long-Tail Rollout Reinforcement Learning Reinforcement learning is crucial for improving large language models' reasoning and generalization. It relies on massive rollouts whose lengths …
arXiv: Inverting Multi-Vector Visual Document Indices Prevailing multi-vector visual document retrievers store each page as about a thousand patch vectors, often in vector databases run by a third party. Since …
New weights detected for About this sheet. Update local evaluation suite and check quantization feasibility.
Compute supply chain friction detected. Research optimization strategies to reduce GPU dependency.
Trend shift towards 'Agentic Workflows' detected. Review AI and ML Framework implementation patterns.