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 ...

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 ...

Deep learning models for predicting properties, optimizing structures, and discovering new materials are being paired with hardware accelerators like GPUs, FPGAs, and neuromorphic chips to handle ...

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, ...

A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...

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 ...

Despite decades of progress in pharmaceutical R&D, the earliest phase of drug discovery—where molecules are conceived and designed—remains costly, inefficient, and burdened by high failure rates. Most ...

Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...

A Cell Perspective argues that generative AI models could help tackle cancer’s multiscale, multimodal complexity by complementing the Hallmarks of Cancer framework. It proposes that models capable of ...

Key opportunities in the Generative AI in Oil & Gas market include enhancing operational efficiency and reducing costs ...