Multimodal models refer to large-scale neural network models capable of simultaneously understanding, fusing, and generating information across multiple modalities such as text, image, audio, and video. Their core idea is to achieve cross-modal semantic alignment and collaborative reasoning through a unified vector space and Transformer architecture. What Is Modality Modality is the form in which…
Mixture of experts models (MoE) are a core solution to the tension between “parameter expansion” and “computational cost” in large models, and are now being adopted by many leading large models such as GPT, DeepSeek, Mixtral, and others. What Is Mixture of Experts? Mixture of Experts Explained Mixture of experts models are a conditional computation…
A Vision Language Model (VLM) is a type of large multimodal model whose core lies in enabling AI to both “see images” and “explain images in language.” This capability is the cornerstone of advanced reasoning, and its emergence has provided stronger technical support for many real-world applications. What is a Vision Language Model? Traditional computer…
AI World Models are the critical bridge that moves AI from “perceptual intelligence” to “cognitive intelligence,” giving AI the ability to predict “what the world will become after performing an action.” They are the key technological foundation that moves AI from “passive response” to “active planning,” driving the deep integration of AI with the real…
Time of Flight Cameras provide various smart devices with “spatial perception capability” at relatively low cost, enabling them to perceive three-dimensional space in real time and with high accuracy, thereby significantly enhancing their intelligence. What Is A Time of Flight Camera? Devices that utilize Time of Flight technology for imaging are called Time of Flight…
dToF vs iToF matters because it enables companies, by objectively weighing the pros and cons of each technology, to select the most suitable technical approach for real-world product development—taking into account specific ranging distances, environmental conditions, accuracy requirements, and cost constraints. dToF vs iToF: Principles –dToF Principle: A VCSEL emits pulse signals into the scene….
iToF (Indirect Time-of-Flight) is a depth-sensing technology that indirectly calculates the time of flight by measuring the phase difference between the emitted light and the reflected light, thereby computing the distance. Principle of iToF iToF (Indirect Time-of-Flight) is a 3-Dimensional depth imaging technology. Its core principle is that, instead of directly measuring the round-trip time…
Robot grease accounts for less than 1% of a robot’s total cost, yet it determines the service life of the robot’s transmission components and the efficiency of equipment operation. As industrial robot applications expand and humanoid robots emerge, its value will continue to grow. Definition of Robot Grease Robot grease is a specialty lubricating material…
dTOF ((direct Time-of-Flight) technology has become one of the core technologies in the new generation of intelligent perception technology systems, owing to its significant advantages such as excellent ranging accuracy, outstanding anti‑interference capability, and millisecond‑level response speed. The Principle of dTOF dToF (direct Time-of-Flight) technology directly measures the time difference between the emission and reception…
