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16850 articles total
Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions
Research on neuro-symbolic AI for robots using Belnap's bilattice to handle unknown and inconsistent information.
Kaiser nurses say AI, workplace surveillance are making their jobs, care worse
Nurses at Kaiser Permanente report that AI and workplace surveillance are negatively impacting their job satisfaction and the quality of patient care.
The US grocery slowdown is real
An analysis of the current slowdown in the US grocery industry.
Open Book Touch: open-source e-reader
Open Book Touch is an open-source e-reader software project.
Topcoat: The full full-stack framework for Rust
Topcoat is presented as a comprehensive full-stack framework for the Rust programming language.
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators
Research indicates that modern text-to-image models may fail as reliable training data generators because they collapse to aesthetic-centric distributions rather than data realism.
Quality-Aware Robust Multi-View Clustering for Heterogeneous Observation Noise
The QARMVC framework is proposed for robust multi-view clustering, addressing heterogeneous observation noise through an information bottleneck mechanism.
AgentWorm: Self-Propagating Attacks Across LLM Agent Ecosystems
The AgentWorm study demonstrates a self-propagating worm attack against production-scale LLM agent ecosystems, highlighting severe vulnerabilities in autonomous agent design patterns.
PhasorFlow: A Python Library for Unit Circle Based Computing
PhasorFlow is an open-source Python library for unit-circle computing, introducing a new paradigm for deterministic, lightweight computing on classical hardware.
Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI
A deep learning framework using YOLO and HiResCAM is developed for the automated taxonomic identification of Ichneumonoidea wasps.
REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation
REST (Receding Horizon Explorative Steiner Tree) is a training-free framework for zero-shot object-goal navigation using a path-tree option space and LLM reasoning.
Show HN: Tarit – a hypervisor which is 2x faster than firecracker
Tarit is a new hypervisor claiming to be twice as fast as Firecracker, targeting high-performance virtualization.
US seeks share of Korean chipmakers' 'excess profits'
The US government is seeking a share of 'excess profits' from South Korean chipmakers, indicating geopolitical tension in the semiconductor industry.
Databricks hits $188B valuation, extending its run as AI’s favorite second act
Databricks has reached a valuation of $188B, pivoting heavily into AI and publishing research on the cost-efficiency of open weight models.
Taylor Farms pulls iceberg lettuce from the US market after cyclosporiasis outbreak
Taylor Farms is recalling iceberg lettuce from the US market following a cyclosporiasis outbreak.
Language as a Wave Phenomenon: Semantic Phase Locking and Interference in Neural Networks
Researchers introduce PRISM, a complex-valued architecture that uses phase-based spectral interference to improve neural sequence modeling efficiency.
Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research
A new adaptive encoder freezing strategy for Federated Learning is proposed to reduce energy consumption in MRI-to-CT conversion tasks.
JEEVHITAA -- An HCAI Ecosystem to Support Collective Care
JEEVHITAA is an HCAI ecosystem for collective health care that uses role-aware sharing and RAG-based LLM summaries.
CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
CluCERT is introduced as a framework for certifying LLM robustness against adversarial prompts using clustering-guided denoising smoothing.
Step-Tagging: Toward controlling the generation of Language Reasoning Models through step monitoring
The Step-Tagging framework introduces real-time annotation of reasoning steps in LRMs to enable efficient early stopping and token reduction.