IIT Delhi has announced admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification ...
Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...
Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...
In 2019, Ghana introduced a new curriculum for basic schools that strongly promotes learner-centred teaching. The idea is ...
Abstract: Federated semi-supervised learning (FSSL), facilitates labeled clients and unlabeled clients jointly training a global model without sharing private data. Existing FSSL methods predominantly ...
AI is already boosting positive outcomes in health care and holds promise for delivering many more. It is important, however, that deployment of AI tools—especially in a life-or-death health care ...
To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
Learning Probabilistic Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception
Abstract: With only video-level event labels, this paper targets at the task of weakly-supervised audio-visual event perception (WS-AVEP), which aims to temporally localize and categorize events that ...
Robots learn dexterous tasks more effectively from consistent demonstrations than complex ones, new study finds.
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