Cibaca continues to explore image classification and deep learning from a research-first perspective. Her ongoing work ...

A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Oceans are facing a multitude of climate-induced stresses including acidification, sea-level rise, warming waters, and ice ...

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

KL Deemed to be University has conferred a Doctorate degree on Ms. A. Vinisha, a research scholar from the Department of ...

Meta is pouring up to $100 million into top AI talent from OpenAI, DeepMind, and Anthropic. Here's more about their education ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image ...

A novel artificial intelligence (AI) application capable of diagnosing endocrine cancers with speed and accuracy is being ...

These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

Alex Hanna and Emily M. Bender examine the hype behind artificial intelligence in their new book, The AI Con. Below is an ...