Researchers who are less enthusiastic about ChatGPT pick up on the question of mental effort (see, for example, Zhai et al., 2024). They draw attention to reduced cognitive engagement, over-reliance on the technology and passivity in learning. In other words, it makes us stupid, and the o...
Although temporal processing is used in a wide range of sensory and motor tasks, there is little evidence as to whether a single centralized clock or a dis... Karmarkar,R U. - 《Learning & Memory》 被引量: 206发表: 2003年 Learning what to expect (in visual perception) Expectations are ...
2004). To make the most out of students’ practice time investment, we focus on the most effective learning techniques: Retrieval practice with corrective feedback and variability. The retrieval practice effect has been proven to be one of the most robust results in memory research...
Tom Brady offered kindred advice: “If you want to be great at something, you’re going to have to put all your commitment and effort and discipline into doing just that.” That recipe—natural talent x disciplined grit --> slight advantage --> great achievement—is confirmed in research...
All of this means that supervised machine learning systems must be used cautiously in certain situations - and if we want to mitigate these restrictions effectively, causation is key.What does causality bring to the table?Causal inference provides us with tools that allow us to answer the ...
📚🔍 Feast your eyes on an assortment of datasets, techniques for tuning multimodal instructions, methods for multimodal in-context learning, approaches for multimodal chain-of-thought, visual reasoning aided by gargantuan language models, foundational models, and much more. 🌟🔥 ✨✨✨ ...
However, the combined impact of these simple models results in powerful gradient-boosting models. Kirill refreshes listeners on how decision trees work with fun case examples that we have come to expect from his teaching style! He then details the two ways to build ensembles: (1) bagging, ...
Reflectance, lighting and geometry combine in complex ways to create images. How do we disentangle these to perceive individual properties, such as surface glossiness? We suggest that brains disentangle properties by learning to model statistical structu
Theoretical and empirical studies of the cultural evolution in technology have often focused on positive observational learning, i.e., copying a successful individual. However, negative observational learning, i.e., avoiding negative or bad exemplar beha
1.1 What is AI?Artificial intelligence is the concept of computer systems performing tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.In artificial intelligence, machines mimic cognitive functions that are associated...