Computer vision

Introduction was a breakthrough in the sphere of computer vision because it proved that deep learning models don't necessarily should be computationally expensive to realize high accuracy. Last month I posted an article where...

Introduction Ever watched a badly dubbed movie where the lips don’t match the words? Or been on a video call where someone’s mouth moves out of sync with their voice? These sync issues are greater...

After we speak about attention in computer vision, one thing that probably involves your mind first is the one utilized in the Vision Transformer (ViT) architecture. Actually, that’s not the one attention mechanism we've...

segmentation is a well-liked task in computer vision, with the goal of partitioning an input image into multiple regions, where each region represents a separate object. Several classic approaches from the past involved taking...

of this series on multimodal AI systems, we’ve moved from a broad overview into the technical details that drive the architecture. In the primary article, I laid the muse by showing how layered, modular design...

After 14 years of developing within semiconductor giant Intel, RealSense is striking out by itself. RealSense sells cameras that use stereoscopic imaging, a process that mixes two images of the identical object from different angles...

automobile stops suddenly. Worryingly, there isn't a stop check in sight. The engineers can only make guesses as to why the automobile’s neural network became confused. It might be a tumbleweed rolling across...

Liberating education consists in acts of cognition, not transferrals of data. Paulo freire heated discussions around artificial intelligence is: What points of human learning is it able to capturing? Many authors suggest that artificial intelligence...