In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

This is AI 2.0: not just retrieving information faster, but experiencing intelligence through sound, visuals, motion, and ...

Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...

This study investigates the transformative impact of generative AI (GenAI), particularly ChatGPT, on higher education through a mixed-methods approach combining survey analysis and scenario ...

Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several ...

Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...

For years, Big Tech CEOs have touted visions of AI agents that can autonomously use software applications to complete tasks for people. But take today’s consumer AI agents out for a spin, whether it’s ...

For more than a decade, social platforms have faced criticism for embedding algorithms that fuel compulsive behaviors, encourage doomscrolling, and measure success by time spent glued to screens.

From dorm-room startups to faculty-built chatbots, the future of learning is being rewritten right now — and the institutions that can’t keep up are getting left behind. AI didn’t break higher ...