Cop28 UAE: AI and IT at Odds in Sustainability
At Cop28 EUA, the ITU said ITCs can meet all 17 of the UN’s sustainability goals. But can IT really do that in the face of AI’s insatiable demand for more energy?
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At Cop28 EUA, the ITU said ITCs can meet all 17 of the UN’s sustainability goals. But can IT really do that in the face of AI’s insatiable demand for more energy?
Two dozen BU Charles River Campus faculty were recently promoted to the rank of full professor and cited as leaders in their respective areas.
Meet some members of the new Faculty of Computing & Data Sciences and learn how they are collaborating across disciplines.
Machine-learning models trained to classify human actions using synthetic data can outperform models trained using real data in certain situations. This could help scientists identify when it’s better to use synthetic data for training, which could eliminate bias, privacy, security, and copyright issues that often impact real datasets.
BU researchers working in the fields of biomedical engineering, synthetic biology, and artificial intelligence reflect on the future, and ethics, of the human-technology interface.