Science Daily

Brain inspired machines are better at math than expected

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Duke Pratt School of Engineering

Mapping Behavior with Machine Learning

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Communications of the ACM

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

A marriage of formal methods and LLMs seeks to harness the strengths of both.
IEEE

Hybrid Tree-Based Machine Learning Models for State-of-Charge and Core Temperature Estimation in EV Batteries

Abstract: Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in ...
GitHub

A secure, session-based web sandbox for executing Python code. This application provides each user with a dedicated, isolated Docker container that persists for their browser ...

Each user session is assigned a dedicated Docker container that runs until the browser tab is closed. If your code imports a package that is not available, the sandbox automatically installs it from ...
GitHub

Public python API inconsistency: some methods return models, others return raw dicts

The Python Copilot SDK currently exposes a mixed public API surface: some higher-level methods return dataclass-based models (generated from NodeJS definitions), while others return raw JSON-RPC dicts ...
IEEE

Forest Tree Species Classification Based on Deep Ensemble Learning by Fusing High-Resolution, Multitemporal, and Hyperspectral Multisource Remote Sensing Data

Abstract: Forest tree species classification has great significance for sustainable development of forest resource. Multisource remote sensing data provide abundant temporal, spatial, and spectral ...