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Generative AI increases risks of cyberattacks and data leaks
Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...
For research-heavy workflows, auto-labeling and source categorization in NotebookLM can save significant time. They eliminate ...
White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...
At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...
Researchers have developed a new methodology that uses artificial intelligence tools to identify and count target viruses ...
New offering helps agencies and enterprise partners adapt to AI-driven search experiences, including Google AI ...
MIT postdoctoral associate Arunav Kumar discusses his work on magnetohydrodynamic stability, plasma control in tokamaks, and ...
Researchers have developed a new methodology that uses artificial intelligence (AI) tools to identify and count target viruses more efficiently than previous techniques. The new approach can be used ...
Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...
GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.
A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to ...
Streaming fraud remains one of the biggest concerns facing the global music business, with the use of bots, click farms and ...
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