Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast ...

Explore LLM architectures, general-purpose limitations, and why adapting models through Fine-Tuning and RAG is the real ...

A new hybrid model called TG-Parser combines Transformer encoders with graph convolutional networks to achieve record-setting ...

I had Claude write down my own problem awareness. I set the theme of the discussion, and Claude fleshed it out. I would ...

Yandex SONA replaces Yandex Music's recommendation cascade with 1 generative model, lifting Active Users 4.53% in A/B tests.

Recurrent Looped Transformer (RLT) pairs a causal encoder with a recurrent decoder. The encoder processes tokens in parallel under a causal mask and produces representations e_t, from which key-value ...

A Weizmann AI model recovers visual content and layout from brain scans, with improved results using limited data from new ...

The recommended paper for October 7, 2026, is Vaswani et al.'s 'Attention Is All You Need' (2017). Regarding this paper, which proposed the Transformer (a neural network composed primarily of ...

Microsoft AI streaming transcription gets its first real-time model: MAI-Transcribe-2-Streaming launches at $0.54 per audio hour through Microsoft Foundry and Azure AI Speech, completing a voice agent ...

DeepSeek V4.1-Flash, released September 10, cuts AI agent KV cache memory fourfold via four architectural techniques -- CED split, CSA2, FP4 quantization, and SWA elimination -- reducing per-token ...

Most LLMs cannot reliably evaluate text on the level of individual letters. A technique called byteification retrofits ...