L1 loss gradient, explained from scratch
Last updated by Editorial Team on April 10, 2026 Author(s): Utkarsh Mittal Originally published on Towards AI. A complete, step-by-step walkthrough of how gradient descent with full-value loss works – …
Measuring and bridging the realism gap in user simulators
Modern conversational AI agents can typically handle complex, multi-turn tasks such as asking clarifying questions and proactively assisting users. However, they often struggle with long conversations, often forgetting interruptions or …
What is in a name? Moderna’s “Vaccine” vs. “Therapy” Dilemma
Mechanically, it is similar to the COVID-19 vaccines. Of course, what is different is that the patient is being vaccinated against cancer, not a virus. And it looks like a …
Why could bombing Iran’s nuclear power plant cause an environmental disaster?
10 April 2026 3 read minutes Add us on GoogleAdd SciAm Why could bombing Iran’s nuclear power plant cause an environmental disaster? An attack on Iran’s Bushehr nuclear power plant …
All about Pygenitor’s method chain functionality, and why it’s useful
Image by editor # Introduction Working intensively with data in Python teaches us all an important lesson: data cleaning doesn’t usually feel like doing data science, but like acting as …
ChatGPT has a new $100 per month Pro subscription
OpenAI has announced a new version of its ChatGPT Pro subscription priced at $100 per month. The new Pro tier offers “5x more” use of its Codex coding tools than …
Sigmoid vs ReLU activation functions: estimation cost of losing geometric context
A deep neural network can be thought of as a geometric system, where each layer reshapes the input space to create increasingly complex decision boundaries. For this to work effectively, …
Google makes it easier to deepfake yourself
youtube shorts rolling out A new AI-powered feature that gives creators an easy way to realistically clone themselves on camera. The launch, which was hinted at earlier this year, reflects …