As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is ...

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

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...

If I were to locate the moment AI slop broke through into popular consciousness, I’d pick the video of rabbits bouncing on a ...

It's convinced the 2nd gen Transformer model is good enough that you will.

Abstract: Mesoscale eddies are dynamic oceanic phenomena significantly influencing marine ecosystems’ energy transfer, nutrients, and biogeochemical cycles. These eddies’ precise identification and ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

We dive deep into the concept of Self Attention in Transformers! Self attention is a key mechanism that allows models like BERT and GPT to capture long-range dependencies within text, making them ...

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...

Scientists have mapped microbe populations in human guts, deep-sea ecosystems and even clouds. Yet the microbial communities inside tree trunks have remained largely unseen until now. For a recent ...