TEACHER VOICE: The future of personalized learning cannot be built on technology alone
By the time many of my high schoolers enter my algebra classroom, they already know what their school thinks they…
BotPsy: On-Device Personal Assistant with a Sub-Billion-Parameter Agentic Language Model
Frontier cloud LLMs carry high operational costs that can fluctuate unexpectedly, and relying on such third-party models introduces vulnerabilities, as…
URL-Sim: Unified and Regulated LiDAR Simulation for High-Fidelity Reconstruction of Dynamic Driving Scenes
Reconstructing high-fidelity LiDAR simulation scenes from real-world driving logs is essential for cost-effective safety validation of autonomous driving systems. While…
Multi-User Large Language Model Agents
Large language models (LLMs) and LLM-based agents are increasingly deployed as assistants in planning and decision making, yet most existing…
Iterative Orthogonalization Scaling Laws
The muon optimizer has picked up much attention as of late as a possible replacement to the seemingly omnipresent Adam…
AI Isn’t Getting Dumber, We’re Getting Pickier: Rising Standards in Human Evaluation of Large Language Models
Users often complain that AI assistants such as ChatGPT are getting worse. Some versions do change, but human evaluation leaves…
Measuring Robustness and Efficiency in a Connectome-Constrained Fly Visual System Model: Linking an Adversarial and a Perceptual Illusion
Biological visual systems compute reliably under tight metabolic and wiring constraints, whereas artificial vision systems consume far more energy and…
Federated Learning of Binary Neural Networks: Enabling Low-Cost Inference
Federated Learning (FL) enables distributed clients to jointly train a global model without sharing their raw data. However, deploying the…
MammothDP: Private Boosted Decision Trees Ready for Trusted Hardware and Leakage-free Hyperparameters
Data spaces like the European Health Data Space (EHDS) require the protection of sensitive data in studies during the data's…
Obscured Wildfire Flame Detection by Spatio-temporal Analysis of Smoke Patterns Using Frame-wise Transformers
In this paper, we propose a new paradigm in wildfire management for detecting both visible and obscured fire using Deep…