I moved four everyday tasks from my browser to the terminal, and my workflow instantly felt faster, calmer, and far less ...

POSCO DX announced on the 30th that it is providing the corporate generative AI service platform ‘P-GPT (Private-GPT) 2.1,’ which connects companies’ diverse data, knowledge assets, and business ...

Experts repeatedly point to privacy and security as key advantages of on-device AI. In a cloud situation, data is flying every which way and faces more moments of vulnerability. If it remains on an ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

Silverback AI Chatbot has announced ongoing advancements to its AI chatbot system, reflecting broader shifts in how organizations manage digital communication, user interaction, and automated ...

2 Centre for Comprehensive Stroke Rehabilitation and Research, Manipal Academy of Higher Education, Manipal, India Objective Upper limb task-oriented training (UL-TOT) is a complex intervention in ...

Thor Sawin has received funding for teacher development projects through the State Department Fulbright Specialist and English Language Specialist program, as well as the US Air Force and LCC ...

As a longtime world language educator, I have used many traditional assessments in my own classroom. For years, I was teaching my own students the way that I had been taught. I used the same structure ...

Parents visiting their children’s kindergarten class for the first time may think they’ve arrived at the wrong room, especially if they expect it to resemble the kindergarten they attended as ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...

Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...