Abstract: Deep learning, particularly Convolutional Neural Networks, has demonstrated effectiveness in computer-aided diagnosis applications, including knee osteoarthritis analysis. Two of the most ...
Thomas Byers receives funding from The Research Training Program Scholarship, supported by the Australian Commonwealth Government and the University of Melbourne. Bjorn Nansen receives funding from ...
French AI startup Mistral has released a pair of new speech-to-text models that aim to set fresh benchmarks for speed, privacy and affordability. The Paris-based vendor earlier this month unveiled ...
Using predictions from pre-trained algorithms as outcomes in downstream statistical analyses can lead to biased estimates and misleading conclusions. The statistical challenges encountered when ...
Vercel set out to find the best way for AI coding agents to access up-to-date framework knowledge. The answer turned out to be surprisingly simple. AI coding agents depend on training data that ...
A teaching assistant rejects the suggestion that teachers are not incorporating technology in a purposeful manner As a teaching assistant, play coordinator and forest school leader in a primary school ...
Abstract: Vehicular edge computing (VEC) systems face critical challenges in balancing computational efficiency, task delay, and data privacy. This paper presents a Federated Multi-Agent Deep ...
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