This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

An international team of researchers from the University of California, Los Angeles (UCLA), Vanderbilt University, and Delft University of Technology has developed an artificial intelligence (AI) ...

Deep learning is an interdisciplinary field that has revolutionised the manner in which computers interpret and process complex data. Rooted in models inspired by the structure of the human brain, ...

Since its inception, artificial intelligence (AI) has been developed to mimic the adaptation and self-organization of living organisms or biological ...

Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns, shapes ...

While ChatGPT, released in 2022, brought advances in generative AI into the consumer domain, many advances in deep learning and generative AI for drug discovery were made in the past decade. My first ...

The inner circle classifies fiber sensors into ‘Macroscopical’ and ‘Microscopical’ according to the fiber dimension. The outer pie chart shows the classification according to the working principles.

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and ...

Deep Bio, a pioneer in AI-powered digital pathology, will present new research at the American Association for Cancer Research (AACR) Annual Meeting 2025, highlighting the role of artificial ...

Overview: The choice of deep learning frameworks increasingly reflects how AI projects are built, from experimentation to ...