Image recognition systems are built to detect patterns and features within images, such as edges, shapes, textures, and colors, to classify objects or people.

Google and the Computer History Museum release AlexNet’s original 2012 source code on GitHub, offering a rare look at a ...

This mirrorless camera is an absolute beast, with a massive 61MP resolution, AI-powered autofocus and 8K video shooting — but ...

Face spoofing remains one of the most pressing threats in biometric authentication, with implications spanning mobile device ...

Spectrogram, Multi-Head Self-Attention, Loss Function Share and Cite: Li, B. (2025) Speech Emotion Recognition Based on CNN-Transformer with Different Loss Function. Journal of Computer and ...

How is an AI different from a neural net? How can a machine learn? What is an AGI? And will DeepSeek really change the game?

To learn more about the deepest reaches of our own galaxy and the mysteries of star formation, Japanese researchers have ...

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the Multicloud The Future of the Internet ...