Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

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Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Advanced Driver Assistance Systems (ADAS) bring increasingly sophisticated software into vehicles. Functions such as lane ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

If OpenAI can accidentally train its flagship model to obsess over goblins, what other more subtle and potentially harmful ...

A discussion of the rapid integration of AI in the US insurance industry, the legal and ethical challenges arising from AI ...

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