Opinion
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
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 ...
Scaling agentic AI demands a strong data foundation - 4 steps to take first ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.
Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...
The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...
Google Cloud has inked a new agreement with Thinking Machines Labs to provide the startup with expanded access to its ...
The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
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