Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...

This is the official repo of our paper Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction in IEEE TMI 2024. In this work, we describe a novel encoder-decoder framework for ...

Apple stealthily introduced Apple Sparse Image Format (ASIF), a new sparse disk image format for Apple Silicon, at WWDC; among other features, it might also help Macs remain the best PCs on which to ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components at any given time, MoEs offer a novel approach to managing the trade-off ...

Xiaomi has expanded its Mijia product lineup with the launch of the Dictionary Pen C1, an innovative educational tool designed to enhance vocabulary learning and word recognition. Priced at an ...

In this paper, a fast temporal multiple sparse Bayesian learning (FTMSBL)-based channel estimation method for underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) systems is ...

Large language models (LLMs) have demonstrated remarkable in-context learning capabilities across various domains, including translation, function learning, and reinforcement learning. However, the ...

1 School of Electrical and Information Technology, Yunnan Minzu University, Kunming, China 2 Yunnan Key Laboratory of Unmanned Autonomous System, Yunnan Minzu University, Kunming, China The shallow ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. And no, in case you were wondering, python is not a snake in ...