If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

Digital bank Monzo continues to focus on leveraging data strategies with the aim to enhance customer experiences and ...

This study presents useful findings on how the transient absence of visual input (i.e., darkness) affects tactile neural encoding in the somatosensory cortex. The evidence supporting the authors' ...

The development of a semiconductor system is more complex than just describing functionality in RTL. How ready are AI models ...

Global food delivery platforms are becoming orchestration engines powered by AI, automation, drones and real-time data. From ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and increasingly complex transistor structures are driving a steady ...