collider

‘Transformers’ and ‘Jem and the Holograms’ Officially Cross Over in New Hasbro Release [Exclusive]

Fans of the Transformers franchise know how important toys for the series are. Who doesn't want an Optimus Prime figure to remind them to be a good person? For this year's San Diego Comic-Con, fans ...
blockchain

Anthropic Debuts Natural Language Autoencoders to Decode AI ‘Thoughts’

Anthropic's Natural Language Autoencoders turn AI activations into readable text, offering breakthroughs in safety audits and AI interpretability. Anthropic has introduced a groundbreaking tool called ...
blockchain

Mamba-3 SSM Drops With Inference-First Design Beating Transformers at Decode

Together.ai releases Mamba-3, an open-source state space model built for inference that outperforms Mamba-2 and matches Transformer decode speeds at 16K sequences. Together.ai has released Mamba-3, a ...
LinkedIn

[Part 2] Understanding the Transformer Decoder: Intuition and Mathematics

In Part 1 we already discussed about Transformer Encoder (almost 2 months ady haha >..<), now lets move to Part 2 (finally) where the model actually generate the output sequence. Why was the ...
The New York Times

I Worked for Block. Its A.I. Job Cuts Aren’t What They Seem.

Mr. Zamost was the head of communications, policy and people at Square, now known as Block, from 2015 to 2020. See more of our coverage in your search results.Encuentra más de nuestra cobertura en los ...
IEEE

DTSF-CDNet: A Dual-Branch Encoder-Decoder Network With Differential Transformer Skip Fusion for Image Change Detection

Abstract: Change detection plays a vital role in numerous real-world domains, aiming to accurately identify regions that have changed between two temporally distinct images. Capturing the complex ...
Nature

SATrans-Net: Sparse Attention Transformer for EEG-based motor imagery decoding

Brain-computer interface (BCI) technology decodes electroencephalography (EEG) signals to identify motor intentions associated with motor imagery (MI), offering assistive solutions for individuals ...
ascopubs.org

SmokeBERT: A Bidirectional Encoder Representations From Transformers–Based Model for Quantitative Smoking History Extraction From Clinical Narratives to Improve Lung Cancer ...

We cross-validated four pretrained Bidirectional Encoder Representations from Transformers (BERT)–based models—BERT, BioBERT, ClinicalBERT, and MedBERT—by fine-tuning them on 90% of 3,261 sentences ...
Frontiers

BLoss-DDNet: bending loss and dual-task decoding network for overlapping cell nucleus segmentation of cervical clinical LBC images

Cervical cancer has become one of the most malignant tumors that threatens women's health worldwide. Liquid-based cytology (LBC) examination has become the most common screening method for detecting ...
Scientific Research Publishing

Yang, Z., Mitra, A., Liu, W., Berlowitz, D. and Yu, H. (2023) Transformehr: Transformer-Based Encoder-Decoder Generative Model to Enhance Prediction of Disease Outcomes Using ...

ABSTRACT: Electronic health records (EHR) facilitate the collection and utilisation of data to enhance accessibility and efficiency of health information management at both the patient and population ...
GitHub

GCP-VQVAE: A Geometry-Complete Language for Protein 3D Structure

Converting protein tertiary structure into discrete tokens via vector-quantized variational autoencoders (VQ-VAEs) creates a language of 3D geometry and provides a natural interface between sequence ...