All Articles
16880 articles total
Smarter and Cheaper at Once: Byte-Exact KV-Cache Grafting Turns a Frozen Small Model into a Verified-Knowledge Flywheel
The researchers propose KV-Cache Grafting to make small language models more capable and efficient by restoring verified knowledge artifacts without weight changes.
Global drivers and barriers to the public acceptance of autonomous vehicles: Evidence from 17 countries
A global study across 17 countries analyzes the drivers and barriers to public acceptance of Level 3 autonomous vehicles.
Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution
Research comparing specialist agentic systems against generalist LLM agents like Roo and Cline for structured code workflow execution, finding specialists outperform in reliability and cost.
Can Tokens Compete? Token Representations against Supervised CNN Backbones for BirdCLEF+ 2026
A study on multi-label detection of animal vocalizations using token-based representations versus supervised CNN backbones for the BirdCLEF+ 2026 competition.
EdgeFaaS: A Function-based Framework for Edge Computing
EdgeFaaS is a function-based framework for edge computing that abstracts heterogeneous physical resources through virtualization for IoT and cloud workflows.
Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards
Progressive RLVR provides a framework for reinforcement learning with verifiable rewards, offering non-vacuous generalization bounds and significantly improved model compressibility.
Pushinka
Pushinka is discussed on Hacker News, though the provided content is limited to comments.
Why the first GPU financiers are turning to inference chips in a $400 million deal
A $400 million loan backed by chips indicates a shift in AI infrastructure financing toward inference-specific hardware.
The report oil companies are worried about: Climate attribution science
A new report enhances the ability of climate attribution science to link specific weather damages to climate change.
FCC took pricey gifts from Paramount as the company needed approval for deals
The FCC chair is accused of taking expensive gifts from Paramount during a period when the company sought deal approvals.
2026 Lucid Gravity Touring review: A strong act 2
A review of the 2026 Lucid Gravity Touring electric SUV highlights its comfort, space, and agility.
Rocket Report: India's Vikram-1 nears debut flight; AST to become rocket company?
India's Vikram-1 rocket is nearing its debut flight, while AST SpaceMobile may be transitioning into a rocket company.
Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI
This research argues that AI safety should move beyond technical component reliability to a sociotechnical systems analysis, drawing lessons from historic industrial disasters.
Why Git Is the Memory Solution for the Agentic Development Lifecycle
The paper proposes using Git as a memory layer for agentic development lifecycles to maintain grounding and replicability in AI-generated code.
An offline approach to fNIRS-guided reinforcement learning for robot behavior
Researchers explore using fNIRS brain signals to modulate reinforcement learning for robots in simulation, showing effectiveness in offline data settings.
Integration Matters: Rollout-Based Training for Constrained Diffusion Models
A new fine-tuning framework for constrained diffusion models uses rollout-based training to align the training process with sampling-time constraints.
Blatant AI slop just won a 25k USD DeepMind Kaggle Grand Prize
A discussion on Hacker News regarding a DeepMind Kaggle competition where a low-effort, AI-generated entry allegedly won the top prize.
Accounting for Hysteresis and Eddy Currents in Finite Element Simulations of Ferromagnetic Laminated Cores using a Recurrent Neural Network
Researchers propose using a recurrent neural network as a surrogate model to efficiently simulate hysteresis and eddy currents in ferromagnetic laminated cores.
PReM: Learning What to Preserve and When to Refresh for Context Compression
PReM is introduced as a context-compression framework for LLMs that learns what to preserve and refresh in the internal KV memory to improve long-context inference.
ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model
ViPSAM leverages visual prompting and the Segment Anything Model (SAM) to improve medical image segmentation in low-contrast NCCT scans.