How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network ...

Aimed at AI/ML applications, Renesas’ RA8P1 MCUs leverage an Arm Ethos-U55 neural processing unit (NPU) delivering 256 GOPS ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

CVPR 2025 unveils latest trends in AI, image and video synthesis, neural networks, and 3D computer vision June 23, 2025 by ...

The rise of real-time object detection and CNN models like YOLO is powering operational efficiency across ports, warehouses, ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a ...

Beyond the reported performance improvements, OpenAI announced a substantial price reduction for developers. O3-pro costs $20 ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.