Google's new Gemini Embedding model now leads the MTEB benchmark. But it is facing fierce competition from closed and open source rivals.

Abstract This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, K ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Microsoft’s “1‑bit” AI model runs on a CPU only, while matching larger systems Future AI might not need supercomputers thanks to models like BitNet b1.58 2B4T.

Researchers have introduced Light-R1-32B, a new open-source AI model optimized to solve advanced math problems. It is now available on Hugging Face under a permissive Apache 2.0 license — free ...

Microsoft Corp. today expanded its Phi line of open-source language models with two new algorithms optimized for multimodal processing and hardware efficiency. The first addition is the text-only ...

Unlike MLPs, which rely only on layer-by-layer weighted linear transformations, KANs introduce more nonlinear and hierarchical interactions in modeling the local structure, making it better able to ...

The library’s inference quantization algorithms work over arbitrary PyTorch models that contain ‘nn.Linear’ layers, providing weight-only and dynamic activation quantization for various dtypes and ...

🐛 Describe the bug I created a simple model with shared weights between two linear layers, then script it and run in libtorch and pytorch. The results are different. Pytorch code (creates model and ...