Recent research indicates that the number of words a person can list in a specific category within just fifteen seconds may ...

Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Tesla is recalling approximately 13,000 recent Model 3 and Model Y vehicles built earlier this year due to a battery pack defect that can result in power loss. In August, Tesla started getting reports ...

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...

Researchers in Sweden and Finland have created the CORE model, a simple blood test that predicts liver disease risk with striking accuracy. Unlike current methods, it works for the general population ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Nondestructive technologies based on visible/near infrared (VIS/NIR) spectroscopy are widely used to analyze fruit quality. One example of this is determining the soluble solids content (SSC) of ...

Simple Prompting Hack for OpenAI’s New Open-Weight Models Your email has been sent TechnologyAdvice's Grant Harvey shares a "dead-simple prompting hack" for OpenAI's gpt-oss models, as well as several ...