Phase-field models serve as a crucial mesoscale simulation method, bridging atomic-scale models and macroscopic phenomena by describing microstructural evolution and
Filtering, scanning, and updating data are important operations in databases, and many data structures are used to perform these operations.
The capability of multimodal large language models (MLLMs) to enable complex long-chain reasoning that incorporates text and vision raises an
Reinforcement Learning (RL) represents a robust computational approach to decision-making formulated through the Markov Decision Processes (MDPs) framework. RL has
Predicting RNA 3D structures is critical for understanding its biological functions, advancing RNA-targeted drug discovery, and designing synthetic biology applications.
Semiconductors are essential in powering various electronic devices and driving development across telecommunications, automotive, healthcare, renewable energy, and IoT industries.
The rapid growth in AI model sizes has brought significant computational and environmental challenges. Deep learning models, particularly language models,
Creating, editing, and transforming music and sounds present both technical and creative challenges. Current AI models often struggle with versatility,
Large-scale model training focuses on improving the efficiency and scalability of neural networks, especially in pre-training language models with billions
Get the latest business insights, expert advice, and exclusive content delivered straight to your inbox. Join a community of forward-thinking entrepreneurs who are shaping the future of business.