Thinking Machines Lab has moved its Tinker training API into general availability and added 3 major capabilities, support for the Kimi K2 Thinking reasoning model, OpenAI compatible sampling, and ...
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
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Python Physics Lesson 2; 1D Kinematics and Loops
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Abstract: Improper tuning of prosthetic foot properties to the individual user limits the efficacy of current state-of-the-art prosthetic feet in terms of walking economy. This study aims to explore ...
A bug related to custom operators, JIT Script Tracing and Autocast. We're trying to add some custom operators and get them to compose with all the different pytorch systems. We ran into this bug and ...
Putting a human in the loop often refers to an artificial intelligence (AI), such as a target acquirer, that requires human authorization to proceed (as in, pull the trigger). However, in learning ...
ABSTRACT: This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to ...
Abstract: Human-in-the-loop optimization (HILO) has been used to identify subject-specific assistive strategies and improve the performance of wearable exoskeletons. However, there is still a gap in ...
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