Transformers are hidden in almost every electronic device you use, but what do they actually do? This video explains how ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Tamil crime writer Rajesh Kumar reflects on 1,500 novels, pulp fiction economics, and why working-class readers—from autorickshaw drivers to porters—have sustained his relevance across five ...

Honoring higher education institutions using Interactive Maps to drive storytelling, student engagement, innovation, ...

During a media briefing at CES® 2026, Kubota reiterated its global vision to become an Essentials Innovator for Supporting ...

The internet is absolutely overflowing with AI-generated videos, making it difficult to tell what's real. We can help you pick out the deepfakes.

Abstract: Safety is paramount in every aspect of human concern. In situations where violence occurs beyond the control of observers, it is essential for trained professionals to intervene. These ...

Abstract: Traditional video stabilization methods use a warping operation to smooth the camera path but result in missing regions in the video frames. To solve this issue, full-frame video ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

The owners of this house in the Highlands restored it using vintage finds, local craftspeople and a colour palette inspired ...

2024.12.21 -- Our paper is accepted by ICASSP2025. We have released the model checkpoints at here. The camera-ready version of the paper will be released before 13 Jan 2025, incorporating minor ...

We dive deep into the concept of Self Attention in Transformers! Self attention is a key mechanism that allows models like BERT and GPT to capture long-range dependencies within text, making them ...