Thinking Machines makes its Tinker AI fine-tuning service generally available

Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability.
GitHub

kentstone84/PyTorch-2.10.0a0

PyTorch 2.10 with native SM 12.0 compilation + Driver gatekeeping bypass + Triton compiler + Optimization suite for RTX 5090, 5080, 5070 Ti, 5070, and all future RTX 50-series GPUs.
IEEE

Adaptive Polynomial Approximation-Based Data-Driven Model of Parameter Design for Bidirectional L-LLC Converter

Abstract: The L-LLC resonant converters have excellent performance to realize bi-directional power flow due to the symmetrical circuit structure of the resonant tank. The traditional frequency-domain ...
IEEE

A Temperature-Dependent SPICE Model of SiC Power Trench MOSFET Switching Behavior Considering Parasitic Parameters

Abstract: The application of silicon carbide (SiC) MOSFETs in the field of high voltage and high frequency brings the major challenge of high switching loss. To give full advantage of its performance ...
eLife

Generation of biophysical neuron model parameters from recorded electrophysiological responses

This study is a valuable contribution to the field of neuronal modeling by way of providing a method for rapidly obtaining neuronal physiology parameters from electrophysiological recordings. The ...