All Articles
18316 articles total
Belief-Space Control for Personalized Cancer Treatment via Active Inference
Using active inference and belief-space control to create personalized cancer treatments based on clinical data.
The Art of Interrogation: Consistency Amplifies Factuality in Spatial Reasoning
A self-supervised RL framework using consistency verifiers and OT-GRPO to improve spatial reasoning in Large Reasoning Models.
Datasette Apps: Host custom HTML applications inside Datasette
Datasette Apps allows developers to host custom HTML applications directly within the Datasette tool, enhancing its extensibility.
How Smashing The NIMBYs Created Modern Capitalism
An exploration of how opposing 'Not In My Backyard' (NIMBY) policies contributed to the development of modern capitalism.
Automating my job away
A discussion about a professional automating their own job tasks using AI and automation tools.
Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design
Researchers introduce AILS-AHD, a novel approach using LLMs to automatically design ruin heuristics for the Capacitated Vehicle Routing Problem (CVRP).
InfoPO: Information-Driven Policy Optimization for User-Centric Agents
InfoPO is introduced to optimize multi-turn LLM agent interactions by using information-gain rewards to reduce uncertainty in user requests.
Robust Regularized Policy Iteration under Transition Uncertainty
The RRPI framework proposes a robust regularized policy iteration for offline reinforcement learning to handle transition uncertainty and distribution shift.
Information-Theoretic Measures in AI: A Practical Decision Guide
A practical decision guide and framework for selecting and utilizing information-theoretic measures in AI, including a selection flowchart and decision table.
A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch
A distributionally robust RL framework using SAC and GCNs to optimize electric vehicle fleet dispatch and charging under spatial demand uncertainty.
FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models
FinSTaR introduces a financial time series reasoning model trained on a new benchmark (FinTSR-Bench) using specialized CoT strategies for assessment and prediction.
LLM-Evolved Domain-Independent Heuristics for Symbolic AI Planning
Researchers use evolutionary search and LLMs to evolve domain-independent heuristics in C++ for symbolic AI planning, outperforming hand-engineered baselines.
How Japan's railways stayed one while splitting apart
An exploration of the history and organizational structure of Japan's railway systems during a period of splitting.
Flexport (YC W14) Is Hiring in Indonesia, India, and Thailand
Flexport is seeking new employees in Indonesia, India, and Thailand.
NOLA 'Nacular: One man's crusade to preserve New Orleans's vernacular signage
A feature on the effort to preserve the unique vernacular signage of New Orleans.
Telegram ban in India sparks a rush to VPNs, rival apps
The banning of Telegram in India has led to an increase in VPN usage and the adoption of alternative messaging apps.
Source: Elastic agrees to buy CRV-backed DeductiveAI for up to $85M
Elastic has agreed to acquire the AI-powered bug-fixing startup DeductiveAI for up to $85 million.
A bold satellite rescue mission came together in record time, but will it work?
A report on a rapidly organized satellite rescue mission and its potential for success.
Microsoft discovers new lightweight backdoor that steals cryptocurrency
Microsoft has identified a new lightweight cryptocurrency-stealing backdoor that spreads via USB and uses Tor for communication.
An In-depth Study of LLM Contributions to the Bin Packing Problem
A study challenging the claim that LLMs contribute to mathematical discovery in the bin packing problem, suggesting human-derived algorithms are superior.