Lunai Bioworks Highlights Sentinel AI Safeguard After Anthropic CEO Warning on AI Chemical and Biological Threats

Embedded AI safety layer blocks LLMs from generating novel chemical threat agents using Lunai’s proprietary biology and ...
IEEE

DEW-Net: A W-Shaped Dual-Encoder Network with Attention Fusion Mechanisms for Pathological H&E Image Segmentation

Abstract: Segmenting programmed cell death-ligand 1 (PD-L1) expression regions in lung squamous cell carcinoma from pathological H&E images represents a challenging pixel-level prediction task, ...
Windows Report

AMD Announces Day 0 Support for Alibaba Qwen 3.5 on Instinct MI300X, MI325X, and MI355X

AMD adds Day 0 support for Alibaba Qwen 3.5 on Instinct MI300X, MI325X, and MI355X with ROCm, enabling 256K context and multimodal AI.
IEEE

KinTransformNet: A Transformer-Assisted Approach With Hough-HoG Features for Kinship Verification and Classification

Abstract: Kinship verification has been actively researched over the last decade for blood relation verification between two or more people using facial features. Kinship verification and ...
marktechpost

A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...
Scientific Research Publishing

Lee, J., Tang, R. and Lin, J. (2019) What Would Elsa Do? Freezing Layers during Transformer Fine-Tuning. arXiv: 1911.03090.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
GitHub

layer sizes to compare iTransformer vs Vanilla Transformers

I want to compare iTransformer's encoder only approach to Vanilla Transformer's encoder-decoder type. I used 2 encoder layer for iTransformer and 1 encoder, 1 decoder layer for Transformer with the ...
GitHub

TSDAE layer initialization of encoder and decoder

I want to train pretrain a sentence transformer using TSDAE. We have previously used all-MiniLM-L6-v2 as a checkpoint where we finetuned with MultipleNegativeRankingLoss with the main downstream task ...