An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...

Abstract: This study introduces and compares three innovative approaches for recommending programming problems within an Online Judge system (OJ), tackling the challenge of deriving implicit ratings ...

Abstract: In this paper, we introduce a four-phase method for converting BPMN diagrams into Solidity code using a new algorithm. Our approach aims to provide a comprehensive guide for this conversion ...

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...