Abstract: This paper introduces a Broad Learning System that gives a new paradigm and learning system without the need of deep architecture. In deep structure and learning, the abundant connecting ...

Lifelong learning is essential for alleviating poverty and hunger, addressing the climate crisis, fostering peaceful societies, and shaping our future. This journey begins in early childhood, ...

Neal Halfon, M.D., M.P.H., and Patrick H. Conway, M.D. As life expectancy increases and Medicare and Medicaid remain involved in many people's insurance coverage for more of their lives, all ...

Senior Scholars is a program consisting of 6 courses featuring academic lectures by university faculty and local experts on a variety of topics. While the format is lecture-style, the afternoons are ...

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different ...

The AI industry has promised to “disrupt” large parts of society, and you need look no further than the U.S. educational system to see ... to off-load all of the learning to a robot, he ...

Neuroscientists at the Sainsbury Wellcome Centre (SWC) at UCL have discovered that the brain uses a dual system for learning through trial and error. This is the ...

Andrej Karpathy, the former Director of AI at Tesla, has said that LLMs are still missing a major learning paradigm, which he described as “System Prompt Learning”. “We’re missing (at least one) major ...

According to Wu Yan, deputy minister of the Ministry of Education, China will build a lifelong learning service system that operates around the clock and reaches all regions, thus ensuring that ...

But there is also a pressing need to develop structures that support and extend lifelong learning across all dimensions of society. In this blog post, I argue for a tertiary system to embrace an ...

Radial-basis-function (RBF) NNs, including critic NNs and action NNs, are employed to approximate the utility functions and system uncertainties ... reinforcement learning scheme is proposed, which ...