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In AI we trust?
Given AI models’ ubiquity and influence, how and why should we trust their decisions? Can we be certain their predictions are free of biases or errors? Johns Hopkins AI experts discuss.
Recent News
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In AI we trust?
CategoriesGiven AI models’ ubiquity and influence, how and why should we trust their decisions? Can we be certain their predictions are free of biases or errors? Johns Hopkins AI experts discuss.
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Seeking smarter surgery
CategoriesJohns Hopkins researchers are using Loop-X Mobile Imaging Robot by Brainlab to forge the future of the intelligent operating room.
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The John C. Malone Assistant Professorships were endowed through the generosity of John C. Malone, Engr ’64, ’69, to support outstanding Whiting School faculty members within the Malone Center for Engineering in Healthcare.
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The Hopkins-led team demonstrated that an AI model trained solely on synthetic tumor data works as well as models trained on real tumors.
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Outstanding students and faculty were honored at the annual Computer Science Department Awards Ceremony.