Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s ...

Your AI might look smart on benchmarks but could be brittle in the real world, leading to unexpected failures and eroding user trust.

The same large model can also have different version types, such as DeepSeek R1, DeepSeek V3, etc. Different version numbers represent comprehensive evolution, such as larger parameters, faster speeds ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

In today's education system, you might see a new type of question in your exams– competency-based questions. Unlike traditional questions that just ask you to remember facts, these questions want you ...

Abstract: The large volume of data associated with virtual reality (VR) video presents significant challenges for wireless transmission. This letter proposes an efficient transmission system for VR ...

Abstract: This letter presents a finite-rate deep-learning (DL)-based channel state information (CSI) feedback method for massive multiple-input multiple-output (MIMO) systems. The presented method ...

How to create more value by connecting experts from inside and outside the organization by Amy C. Edmondson, Sujin Jang and Tiziana Casciaro Though most executives recognize the importance of breaking ...

An unofficial PyTorch implementation of "Autoregressive Speech Synthesis without Vector Quantization" paper. This repository provides a complete pipeline for training and inference of the MELLE model.

I am trying to quantize the YOLO11 model with onnxruntime, and I have conducted a comparative study of the mAP across all the models I possess: ".pt, onnx, onnx+dynamic, and onnx+static". What I found ...