Last week, we talked about the problem of overintroducing yourself—that exhausting habit of piling on credentials, experiences, and qualifications until your listener’s eyes glaze over. We explored ...

I am afraid to make more predictions now after inadvertently willing Beckett’s “big 2026” into existence. So instead you’re ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

Efforts to find a peaceful resolution to the conflict in Ukraine are ongoing, with various officials and entities involved in discussions. Donald... Artificial intelligence is rapidly evolving, ...

The new iPhone 17 series has finally landed in stores, and this year, it’s more noticeable than ever for one key reason: the switch to aluminum. After two years of extolling the benefits of titanium, ...

Abstract: While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard product.

This repository houses all material related to my master's course on Deep Learning. The course was done in the first semester of 2025 at Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio). A ...