Ongoing education and training are essential to empower healthcare professionals to fully utilize AI's capabilities while maintaining their critical role in decision-making.

"For the past 10 years, we have been working on using AI to solve real-world problems," Daisuke Okanohara of Preferred Networks told CNBC's "Managing Asia."

Glaucoma diagnosis traditionally relies on a combination of fundus imaging, optical coherence tomography (OCT), intraocular pressure (IOP) measurements, and visual field (VF) testing. However, screening using fundus imaging is the most cost-effective and scalable method,

The educational landscape transforms under artificial intelligence which provides new approaches to handle major educational challenges. Schools and universitie

Deepfakes and AI-driven phishing techniques put users and organizations at major risk by bypassing security protocols, leading to financial and reputational losses.

Its ease of use and direct integration with Google's AI ecosystem make it a compelling tool for businesses and developers exploring cutting-edge AI apps. This article was correct

Artificial intelligence is a deep and convoluted world. The scientists who work in this field often rely on jargon and lingo to explain what they’re

If you want to make realistic, human-like video content using AI avatars, AI Studios by DeepBrain is worth a look.

Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks, authored by Shify Treger and Shimon Ullman from the Weizmann Institute of Science,

New brain-inspired hardware, architectures and algorithms could lead to more efficient, more capable forms of AI.

With these advantages, DeepSeek has become a key driver of breakthroughs in AI-powered education. MoonFox Analysis selected Xueersi and Youdao as representative cases to further explore the new wave of AI education innovation driven by DeepSeek.

Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in which machines learn through a reward-based trial-and-error approach that lets them adapt within constrained or dynamic environments.