“Makes My Brain Hurt”: 59 People Whose Intelligence Seemed Almost Artificial

Human beings are getting dumber. That's a fact, according to several researchers who have raised concerns about the state of ...
IEEE

Comparison and Applications of Multiplying 2 by 2 Matrices Using Strassen Algorithm in Python IDLE, Jupyter Notebook, and Colab

Abstract: Even though the task of multiplying matrices appears to be rather straightforward, it can be quite challenging in practice. Many researchers have focused on how to effectively multiply two 2 ...
IEEE

Comparison and Applications of Multiplying Two 3 by 3 Matrices

Abstract: Multiplying matrices can be very challenging although it seems straightforward. Many researchers have studied the multiplication of two 3 by 3 matrices by using Strassen Algorithm in the ...
GitHub

02_matrix_multiply.py

Naive matrix multiply: C = A * B. Each thread computes one element of C: C[row, col] = sum_k A[row, k] * B[k, col] # 2D indexing: derive global row/col from block and thread indices. # blockIdx.y, ...
PCMag

I'll Make You a Spreadsheet Pro. Try My 50 Favorite Excel Tricks

As PCMag's resident data journalist, I practically live in Microsoft Excel. I've learned that it's capable of far more than I ...
GitHub

llama.cpp — AMD XDNA2 NPU Backend (RyzenAI npu5)

This is a fork of llama.cpp with a custom ggml backend that offloads matrix multiplication to the AMD XDNA2 NPU found in Ryzen AI MAX processors (e.g. Ryzen AI MAX 385). The NPU backend accelerates ...