Abstract: Data-driven traffic modeling in Intelligent Transportation Systems (ITS) often learns traffic trends offline from massive historical databases rather than continuously learning in ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

Officials at the central bank have splintered over whether rising unemployment or elevated inflation poses the bigger economic risk. By Colby Smith Colby Smith covers the Federal Reserve. Federal ...

Abstract: Training deep neural networks is difficult by the erratic and slow convergence of constant learning rate techniques. Conventional optimization methods cannot consistently adapt to changing ...

In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning and why do we need them in the first place. Optimization in Deep Learning ...

Introduction: Assessing eating behaviors such as eating rate can shed light on risk for overconsumption and obesity. Current approaches either use sensors that disrupt natural eating or rely on ...

If warmup is the answer, what is the question? The learning rate warmup for Adam is a must-have trick for stable training in certain situations (or eps tuning). But the underlying mechanism is largely ...

Introduction: The integration of Artificial Intelligence (AI) and gamification into higher education is reshaping educational practices by personalizing learning and fostering essential workforce ...