All Articles
16940 articles total
SpaceX stock erases all its gains and slides below IPO price in intraday trading
SpaceX stock has experienced a decline, falling below its initial IPO price during intraday trading.
Ente – Opening Our Books
Ente, an encrypted photo storage service, shares transparency regarding its business model and financial books.
Track your workout from the iPhone Lock Screen
A guide or announcement on how to track workouts directly from the iPhone Lock Screen using Live Activities.
Move over, GPS: Navigation satellites in low-Earth orbit are making a comeback
Xona is deploying a constellation of low-Earth orbit satellites to provide a high-precision alternative to traditional GPS.
The Caf\'e in Amsterdam: When the Incumbent Becomes the Oracle
A theoretical paper introducing 'baseline capture', where an incumbent's output becomes the definition of success, hindering computational reformulation.
Price of Fairness in Bandits: A Tight Minimax Characterization
Research providing a tight minimax characterization of the price of fairness in bandit problems and introducing the UCB-HARE algorithm.
Let's build a simple interpreter for APL – part 1
A series of articles guiding the reader through building a simple interpreter for the APL programming language.
Google ordered to open Android and Search to rivals in Europe
The European Union has ordered Google to open Android and Search to rivals to comply with digital antitrust rules under the Digital Markets Act.
Accuracy Without Grounding: Diagnosing Visual Dependency Dissociation in Video LLM Benchmarks
Researchers introduce the Visual Dependency Gap (VDG) to audit whether video LLMs truly understand visual content or rely on language priors.
Tabular Foundation Models for Discrete Choice Estimation
A new approach for applying Tabular Foundation Models to discrete choice estimation in marketing, outperforming hierarchical Bayesian estimation.
Adapting Generalist Vehicle Models for High-Speed MPC Across Terrains
OptCar is introduced as a method to adapt generalist vehicle models for high-speed MPC across various terrains using limited real-world data.
Privacy Preserving Recommender Systems Balancing Personalization with Privacy
A framework combining federated learning and differential privacy to create personalized recommender systems that protect user privacy.
Efficient Text-to-Audio Generation via Pruning
Research demonstrates that pruning the U-Net backbone of AudioLDM can reduce parameters by up to 83% while maintaining audio generation quality.
The Refusal Residue: When Probes Catch Alignment Faking and When They Don't
An investigation into 'alignment faking' in LLMs, introducing a measurement framework to detect when models fake compliance.
Evaluation Ability Does Not Imply Optimization Utility: LLM-as-a-Judge Signals in Closed-Loop Table Recognition
Study finds that LLM-as-a-judge signals are often weak and insufficient for closed-loop table recognition optimization.
Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System
Evaluation of the Learning Engagement Assistant (LEA), an agentic AI tutoring system, testing its scalability and real-world classroom performance.
Ultrahuman’s former hardware VP raises $5.5M for devices that control AI agents, not just record you
Former Ultrahuman hardware VP raises $5.5M to develop Aina, a device designed to control AI agents rather than just recording data.
Adaptive Filtering of the KV Cache: Diagnosing and Correcting Structural-Role Bias in LLM Inference
Researchers propose a role-conditional allocation method for KV cache eviction in LLMs to correct structural-role bias, improving accuracy for schema-dense inputs like JSON.
Classifying daily activities needs posture, reconstructing them needs motion
A study on daily activity recognition finds that body posture is sufficient for classification, while temporal motion dynamics are essential for movement reconstruction.
Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift
Introduces Audited Selective Verification, a risk-budgeted screening layer for energy management systems that reduces full power-flow studies by 29-75% while maintaining safety bounds.