In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.

The latest JavaScript update dropped recently, with three big new features that are worth your time. Also this month: A fresh look at Lit, embracing the human side of AI-driven development, and more.

Abstract: Instant messaging applications (IMAs) rely on message encryption to preserve privacy and security, which makes network traffic inspection difficult. For better network monitoring and ...

Objective: The objective of this study was to compare the clinical outcomes of intracytoplasmic sperm injection (ICSI) with fresh versus cryopreserved sperm retrieved via microdissection testicular ...

Maintaining academic integrity in the age of generative AI is a headache for all professors. But those who teach large-enrollment and asynchronous courses are in a particularly challenging spot. If ...

A recent study published in Engineering presents a novel approach to urban geohazard investigations, specifically focusing on karst features. Karst hazards, which can cause surface subsidence, ground ...

You may have noticed that the phrase “Let’s take that offline” is gradually being replaced by “Let’s connect async.” Both expressions are a type of white flag, surrendering to the reality that a ...

While the shift to online learning was a first for many during the pandemic, the University has offered classes held completely online since at least 2013. These classes are held in a variety of ...