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Q Labs dust algorithm: backpropagation-free pretraining now beats Adam baseline

Backpropagation-free AI training reaches a milestone: Q Labs' Dust algorithm uses only forward passes to train transformers, ...
BIOENGINEER

Neural Network Learns to Predict Nanofluid Flow and Heat Transfer Over a Porous Wedge

A new modeling study combines a MATLAB boundary-value solver with a Levenberg–Marquardt artificial neural network to predict ...
BIOENGINEER

Neural Network Learns Knee Implant Mechanics, Slashing Simulation Time by 73%

A hybrid AI and finite element framework ranked cobalt-chromium as the top knee implant material under stress-weighted ...

A CPU running inside an LLM running on a GPU? ...I know it sounds crazy, but here is what I learned and didn't learn from replicating Qwenputer

A model was released on Hugging Face that claims to have a 32-bit RISC-V CPU compiled and embedded within the weights of ...
spectroscopyonline

Near-Infrared Spectroscopy with Data Analysis Model for Rapid Identification of Huanglongbing in Gannan Navel Orange

Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...
TVLine

The TVLine Scorecard: Which Shows Are Returning — And When? And Which Are Canceled?

"Is my favorite show renewed? Canceled? Coming back anytime soon?" The TVLine Scorecard tracks the status of English-language scripted series throughout the year, including renewals, cancellations, ...

Part 17: Restricted Boltzmann Machines — Writing probabilities with energy, learning by sampling

From mechanisms with math and Python", Part 17← Previous Part 16: Vanishing Gradients — Why deep networks couldn't ...