Interesting Engineering

Scientists build brain-like computer that could bring self-learning AI to phones

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...
IEEE

Herbguard: An Ensemble Deep Learning Framework With Efficientnet and Vision Transformers for Fine-Grained Classification of Medicinal and Poisonous Plants

Abstract: Classifying whether a plant is herbal or poisonous is a significant challenge for trekkers, hikers, and nature enthusiasts, particularly in remote areas where several unfamiliar plant ...

The 15 Best Websites You Should Read To Learn About Developments In AI

We’ve curated a list of 15 websites that will give you a 360-degree view on AI, from AI technology, business strategy, and ...
IEEE

A Transformer-Based Multi-Scale Deep Learning Model for Lung Cancer Surgery Optimization

Abstract: Lung cancer surgery presents significant challenges due to its complexity and the need for precise risk stratification to improve patient outcomes. This study presents a Transformer-based ...
Frontiers

Oral Squamous Cell Carcinoma Grading Classification Using Deep Transformer Encoder Assisted Dilated Convolutional With Global Attention

The final, formatted version of the article will be published soon. In recent years, Oral Squamous Cell Carcinoma (OSCC) has been a common tumor in the orofacial region, affecting areas such as the ...
The Boston Globe

Two Nobel-earning MIT economists leaving for Zurich but will remain affiliated with Cambridge campus

Two Nobel-earning economists at MIT, including one who cosigned a March op-ed in a French newspaper decrying attacks against American scientific research, are headed to the University of Zurich next ...
Frontiers

LiT: limit order book transformer

While the transformer architecture has demonstrated strong success in natural language processing and computer vision, its application to limit order book forecasting, particularly in capturing ...
marktechpost

Microsoft Research Releases Skala: a Deep-Learning Exchange–Correlation Functional Targeting Hybrid-Level Accuracy at Semi-Local Cost

TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, reporting MAE ≈ 1.06 kcal/mol on W4 ...