AI techniques excel at solving complex equations in physics, especially inverse problems

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...
Deep Learning with Yacine on MSN

Nesterov Accelerated Gradient (NAG) From Scratch in Python – Step-by-Step Tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient #Mach ...
InfoWorld

How to deploy machine learning models with AWS Lambda

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for ...

Thinking Machines' first official product is here: meet Tinker, an API for distributed LLM fine-tuning

Thinking Machines, the AI startup founded earlier this year by former OpenAI CTO Mira Murati, has launched its first product: Tinker, a Python-based API designed to make large language model (LLM) ...
SciELO

Trait prediction through computational intelligence and machine learning applied to the improvement of white oat (Avena sativa L)

Avena sativa L.; multiple regression; decision trees; Artificial neural networks Given the above, this research aims to (1) compare different methods to predict grain yield in white oat and evaluate ...