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Financial Market Applications of LLMs

The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer products like ChatGPT are powered by Large Language Models (LLMs) that excel at modeling sequences of tokens that represent words or parts of words [2]. Amazingly, structural understanding ....

Charlie Munger , Lasse Pedersen , Neural Networksi Sutskever , International Conference , Large Language Models , Hudson River Trading , Deep Neural Networks , Financial Time Series , Neural Information Processing Systems , Stock Price , Return Predictability , Large Language , Synthetic Data , System Card , Sequence Learning , Neural Networks , Data Generation ,

Machine learning reveals the control mechanics of an insect wing hinge

Insects constitute the most species-rich radiation of metazoa, a success that is due to the evolution of active flight. Unlike pterosaurs, birds and bats, the wings of insects did not evolve from legs1, but are novel structures that are attached to the body via a biomechanically complex hinge that transforms tiny, high-frequency oscillations of specialized power muscles into the sweeping back-and-forth motion of the wings2. The hinge consists of a system of tiny, hardened structures called sclerites that are interconnected to one another via flexible joints and regulated by the activity of specialized control muscles. Here we imaged the activity of these muscles in a fly using a genetically encoded calcium indicator, while simultaneously tracking the three-dimensional motion of the wings with high-speed cameras. Using machine learning, we created a convolutional neural network3 that accurately predicts wing motion from the activity of the steering muscles, and an encoder–decoder4 ....

United Kingdom , International Conference On Neural Networks Vol , Curran Associates , International Conference On Engineering , How Diptera , International Conference , Neural Networks , Insect Morphology , Arthropod Relationships , Neural Information Processing Systems , Kalman Filtering , John Wiley ,