However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input. For this, you also need non-linear thresholding functions that adjust the ...

Researchers from Nokia Bell Labs developed a new type of optical memory called a programmable photonic latch that enables ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

in this file, i implemented llama3 from scratch, one tensor and matrix multiplication at a time. also, im going to load tensors directly from the model file that meta provided for llama3, you need to ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an ...

These top 10 edge AI chips are designed to accelerate artificial-intelligence workloads without being power-hungry.

Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an ...

As of September 2024, AMD had $4.5 billion in cash and cash equivalents against total debt of $1.7 billion. AMD took on debt to acquire Xilinx, but Xilinx generates healthy cash flow, and now that AMD ...

First, the CIM macro realizes efficient transpose matrix multiplication through flexible data path control, which handles the need for transpose operation of the weight matrix in neural network ...

Abstract: The Physical Unclonable Function (PUF) is valued for its lightweight nature and unique functionality, making it a common choice for securing hardware products requiring authentication and ...