GitHub

Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
Frontiers

A clinical prediction model for delirium tremens: development and validation in alcohol-dependent patients using multivariable logistic regression

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...
IEEE

Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation

Abstract: Robust and accurate modeling of motor vehicle accident and injury severities have significant impact on transportation safety and economy. The capability to assess accident risk based on ...
IEEE

Prediction of Campus Placement Using Hybrid Logistic Regression Model

Abstract: Higher education decision-making is greatly improved by machine learning (ML), especially when it comes to forecasting student placements that affect career prospects or an institution's ...
Reuters

Exclusive: China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says

WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's (NVDA.O), opens new tab most advanced AI chip, the ...
techxplore

AI energy use: New tools show which model consumes the most power, and why

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an open-source software and online leaderboard developed at the University of ...