All Articles
16630 articles total
From Intent to Infrastructure: LLM-Driven Agent Compilers for ISAC Networks
The Agent Compiler uses LLMs to translate high-level engineering intent into executable ISAC system configurations for 6G networks.
Physics-Informed Feature Engineering 1D-CNN for Multilayer Cloud Detection from Geostationary Satellites
A physics-informed 1D-CNN is developed to improve multilayer cloud detection from geostationary satellites using radiative transfer theory.
ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification
ForensicNet is a lightweight, attention-enhanced MobileNetV2 framework designed for real-time automated face identification in forensic settings.
The Great Steam Deck Crash of 2026: How the New Pricing Decreased Demand by 80%
A discussion regarding the impact of price increases on the demand for the Steam Deck in 2026.
Motion Sensors and Home Security Gadgets Without Cameras
A conversation about motion sensors and home security devices that prioritize privacy by avoiding cameras.
Bluecore Energy raises $10M to build portable nuclear reactors on barges
Bluecore Energy has raised $10 million in pre-seed funding to develop portable nuclear reactors on barges.
The Switch 2 is $50 off at Woot for new customers
Woot is offering discounts on the Nintendo Switch 2 before a planned price increase in September 2026.
The wireless headset that gets hot-swappable batteries right
The Glorious GHS InfinitePlay wireless headset features a high-efficiency hot-swappable battery system with zero audio downtime.
Nintendo keeps making shooters more friendly and approachable
Analysis of Nintendo's approach to making competitive shooters more accessible, specifically through the Splatoon series.
Halliday’s latest smart glasses feature a much-improved display
Halliday's Gen 2 smart glasses offer an improved display experience compared to the finicky first generation.
Feature Generation Using LLMs: An Evolutionary Algorithm Approach
Researchers propose an evolutionary algorithm approach using LLMs to automate feature generation for tabular data in ML pipelines.
Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory
A study introduces 'Discovery by Dreaming,' using cross-domain recombination in artificial memory to enable AI discovery and creative insight.
From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training
Introduction of Hindsight Policy Optimization (HPO), a novel policy gradient method to improve long-horizon language agent training using intent space projection.
TRACE: Trajectory-Based Safety Patch Learning for LLM Post-Training Realignment
Introduces TRACE, a framework for learning safety patches to realign LLMs after customized fine-tuning without destroying task-specific utility.
RobustMAD: Evaluating Real-World Robustness of Multimodal Small Language Models for Deployable Anomaly Detection Assistants
Presents RobustMAD, a benchmark for evaluating the real-world robustness of multimodal small language models used in industrial anomaly detection.
CIGPO: Contextual Information-Gain Policy Optimization for Multi-Turn Evidence-Reading LLM Agents
Proposes CIGPO, a policy optimization method using contextual information-gain rewards to prevent reward-variance collapse in multi-turn LLM agents.
Learning Structural Manipulability in Gate-Level Netlists Using Graph Neural Networks
Uses Graph Neural Networks to learn structural manipulability in gate-level netlists, providing insights into circuit topology and Trojan detection.
Let the Data Decide: Supervision Analysis, Capability Trade-offs, and Adaptive Objective Routing in Continued Pre-Training via Off-Policy Distillation
Analyzes the trade-offs between language-modeling and knowledge-distillation objectives during LLM continued pre-training via off-policy distillation.
High-accuracy Low-Bit KV-Cache Quantization via Local Distribution Restoration
Introduces DGAP, a local distribution restoration technique to significantly improve the accuracy of low-bit KV-cache quantization in LLMs.
An Agentic Interface for End-to-End Probabilistic Seismic Hazard and Risk Analysis
Develops an agentic interface for seismic hazard and risk analysis using the Model Context Protocol (MCP) to wrap the OpenQuake engine.