Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

The thesis not only showcases technical advancements but also underscores the importance of interpretability and scalability in agricultural AI solutions. Farmers and stakeholders are more likely to ...

A research team at UCLA, led by Professor Aydogan Ozcan, has introduced BlurryScope, a compact, cost-effective scanning ...

Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

A self-powered kirigami cube sensor detects force direction and pressure through one signal channel, enabling compact and ...

“Our optical generative models can synthesize countless images with almost no computing power, offering a scalable and energy-efficient alternative to digital AI models,” lead author Shiqi Chen told ...

Overview Strong basics in math, programming, and statistics drive faster AI progressReal projects teach problem-solving better than endless tutorialsData qualit ...

A new AI review outlines 2025 strategies to fix missing traffic data in smart cities using structure- and learning-based methods ...