The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Abstract: This paper proposes a single-stage training approach that semantically aligns three modalities - audio, visual, and text using a contrastive learning framework. Contrastive training has ...

To reliably complete household chores, assemble products and tackle other manual tasks, robots should be able to adapt their ...

Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < 0.01) via user-intent contrastive learning that mines interest-centric image ...

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...

As educators nationwide gather at the Future of Education Technology Conference (FETC) today, zSpace, a leader in immersive augmented and virtual reality (AR/VR) learning solutions, is spotlighting a ...

Conclusions: Both learning motivation and modality exert significant, though partly independent, influences on preoperative DHE outcomes in KA patients. Video-based content enhances cognitive ...

This paper tackles the domain of multimodal prompting for visual recognition, specifically when dealing with missing modalities through multimodal Transformers. It presents two main contributions: (i) ...

Digital learning resources are transforming classrooms, and educators are always on the lookout for tools that go beyond the standard platforms. There are numerous lesser-known digital platforms that ...