Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. One of the ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Curious about how AI is reshaping 6G communication? A new Engineering study explores generative AI’s role in semantic communication, moving past traditional bit transmission to focus on semantic ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.

This course provides a comprehensive introduction to diffusion models and flow models for generative AI, covering both theoretical foundations and methodological advancements. The course is divided ...

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

If you go to ChatGPT.com, choose the o4-mini model from the drop-down menu and enter a prompt, you’ll see a message you’ve probably never seen before. “Thinking,” the chatbot responds as several ...

The foundation AI models market is booming, driven by advancements in multimodal AI, enterprise adoption for automation, and ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...