Experts first llama.cpp
Community fork of llama.cpp optimizes MoE inference on 12GB VRAM by loading only active experts rather than full layers.
Search the full wire by company, model, lab, or keyword. Every story we have ever aggregated.
Community fork of llama.cpp optimizes MoE inference on 12GB VRAM by loading only active experts rather than full layers.
Google's AI Overviews are running into an interesting problem right now. As of this writing, if you search for the term "disregard," instead of showing the usual AI-generated summary of search results, the AI Overview section instead includes a response like what you'd see from…
High‑quality 3D medical imaging data is the foundation of modern radiology AI, but access to it is often constrained by data scarcity, privacy restrictions,... High‑quality 3D medical imaging data is the foundation of modern radiology AI, but access to it is often constrained…
Debiased negative mining technique improves out-of-distribution detection in vision-language models via semantic label selection.
Adversarial subspace alignment enables robust multimodal knowledge editing in MLLMs with improved generalization across visual and linguistic variations.
AI weather models converge on similar atmospheric representations; evidence suggests they solve particle-like physics despite differing architectures.
Claude Code achieves 98.8% specification validity and 87.5% implementation certification on CLEVER program verification benchmark via agentic proving.
PhotoFlow Director-Reviewer-Reflector agent framework for 3D virtual photography combines spatial reasoning and aesthetic judgment through closed-loop search.
Reddit post reports Demis Hassabis claiming AGI could arrive within years and trigger singularity; lacks source or context.
Google demoed prototype Android XR glasses that overlay Gemini-powered translation, navigation, and other information directly into your field of view.
cHunter789 releases Qwen-27B IQ4_KS quantization (14.1GB) optimized for 16GB NVIDIA GPUs via ik_llama.cpp.
Multi-agent LLM framework with Creator and validation agents generates physics-constrained constitutive models ensuring compliance with continuum mechanics laws.
SeedER framework iteratively expands knowledge graph seeds for efficient multi-hop compositional retrieval at scale via lightweight dense embeddings.
Novel I/O-optimal attention algorithm reduces quadratic dependency on sequence length, approaching Ω(nd) lower bound for LLM inference.
ContrastAD unsupervised framework detects anomalies in multivariate time series by modeling dynamic structural evolution via graph contrastive regularization.
Any2Any enables efficient transfer of whole-body tracking models across humanoid robot embodiments with minimal retraining data.
Optimal dimension-free sampling bounds for regularized classification loss functions with theoretical complexity analysis.
MemAudit detects poisoned records in LLM agent persistent memory via causal attribution and structural anomaly detection.
Historical review of NLG evaluation evolution from 1990–2026, highlighting LLM-as-Judge methods and emerging safety evaluation needs.
Language model architecture adapted for operator learning to reconstruct fluid dynamics fields from sparse sensor measurements.
Graph-based analysis of semantic type coercion in BERT embeddings using neighborhood probability and entropy metrics.
Graph neural networks predict stability landscapes in synchronization networks, deriving per-node stability indices from topology.
Metadata Prior Dominance Score and evidence-intervention auditing protocol detect weak-label benchmark shortcut learning.
Graph-based probabilistic model forecasts air traffic control complexity from aircraft interaction pairs to estimate ATCO workload.
ChartFI benchmark evaluates faithfulness and insightfulness of MLLM-generated chart descriptions beyond fact enumeration.
RaNNDy uses fixed random weights in hidden layers for transfer operator approximation, reducing training cost via closed-form output layer solution.
Since 2012, the British literary magazine Granta has published the regional winners of the annual Commonwealth Short Story Prize. This year, however, there was something off about one of the selections for the prestigious award: It appears to have been written by AI. Jamir…
The SpaceX S-1 is finally here, and the story it tells goes way further than rockets. The filing runs to 36 pages of risk factors alone, and the numbers inside match the ambition: a $28 trillion total addressable market, a pay package tied to establishing a Mars colony, and a…
GNN-LRP explainability method reduces computational complexity for walk-level relevance propagation in graph neural networks.