Abstract: In this paper there is an architecture implementable for fault-tolerant pipelines for autonomous driving systems along with path planning, object detection and decision making. The proposed ...

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...

Taiwan Semiconductor dominates AI chip manufacturing with a 70% foundry share and expanding margins from advanced nodes. Meta Platforms monetizes AI through ad optimization today while investing over ...

Using a Tesla Model Y for a driver's training test may be a bad idea, with another example of a failure due to advanced vehicle features. TSLA stock is moving in positive territory. Track the latest ...

Abstract: Maritime object detection is essential for navigation safety, surveillance, and autonomous operations, yet constrained by two key challenges: the scarcity of annotated maritime data and poor ...

Abstract: The improved DB-YOLOv8 model aims to address the issues of missed detection and false detection that are prone to occur in object detection tasks under complex scenarios, particu-larly in ...

On Wednesday, AI security firm Irregular announced $80 million in new funding in a round led by Sequoia Capital and Redpoint Ventures, with participation from Wiz CEO Assaf Rappaport. A source close ...

None of the most widely used large language models (LLMs) that are rapidly upending how humanity is acquiring knowledge has faced independent peer review in a research journal. It’s a notable absence.