Google is releasing the high-performing Deep Think AI to select researchers, supporting advanced reasoning tests and future ...

Google has introduced Guided Learning in its Gemini AI chatbot, challenging OpenAI's Study Mode. This new feature acts as an ...

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

Japan is famous for its beautiful mountain landscapes as well as for the challenges it offers to avid mountaineers. However, ...

Discover how AI and Deep Learning are revolutionizing airport operations, from jet bridge autonomy to baggage classification, ...

By leveraging a vision foundation model called Depth Anything V2, the method can accurately segment crops across diverse environments—field, lab, and aerial—reducing both time and cost in agricultural ...

Adverse drug reactions (ADRs) are a significant cause of hospital admissions and treatment discontinuation worldwide.

A Deep Learning Alternative Can Help AI Agents Gameplay the Real World A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Deep-learning technology developed by a team of Johns Hopkins engineers and cancer researchers can accurately predict cancer-related protein fragments that may trigger an immune system response.

4. Technology application and future direction: Deep learning improves protein structure prediction and provides new possibilities for drug design, antibody development, and synthetic biology.