High-speed AFM imaging reveals how brain enzyme forms a dodecameric ring structure

Kanazawa University, have captured real-time images showing how a key brain enzyme organizes itself to help memory formation.
MIT Technology Review

Mechanistic interpretability

But last year we got the best sense yet of how LLMs function, as researchers at top AI companies began developing new ways to ...
MIT Technology Review

Meet the new biologists treating LLMs like aliens

By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
IEEE

Adaptive Intrusion Detection in Cyber-Physical Systems Using Reinforcement Learning-Based Autoencoders

Abstract: The increasing integration of Cyber-Physical Systems (CPS) in critical infrastructure presents unique challenges for ensuring robust cybersecurity. Traditional Intrusion Detection Systems ...
IEEE

Hybrid Deep Convolutional Neural Networks Combined with Autoencoders and Augmented Data to Predict the Look-Up Table 2006

Abstract: Lookup tables derived from empirical research contain limited data for critical heat flux (CHF). Machine learning techniques can be employed to create CHF prediction models by training them ...