Providing power via contact-closure circuits historically required a new third wire, but perhaps no longer. Say the words “solid-state relay” (SSR) and most engineers also naturally think of two ...

Abstract: Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of ...

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 ...

Abstract: Transformers, as a class of fundamental neural networks with an Attention Mechanism, have contributed to sectors associated with Artificial Intelligence (AI) and provoked extensive ...

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 ...

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 ...

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 ...

An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...

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 ...

A cinematic obsessive with the filmic palate of a starving raccoon, Rob London will watch pretty much anything once. With a mind like a steel trap, he's an endless fount of movie and TV trivia, borne ...