Adobe adds chatbots to Photoshop and other design apps - Axios
Hi there, little artist! Guess what?
You know how you like to draw and color pictures? Well, there are special computer programs, like a super-duper digital coloring book called Photoshop, where grown-ups make amazing art and pictures!
Now, these computer programs are getting a new, friendly helper! Imagine you're drawing, and a tiny, smart robot friend pops up to say, "How can I help you draw that sunshine better?"
That's what's happening! The smart robot friends, called "chatbots," are coming to Photoshop. They can help the grown-ups make their pictures even cooler and easier! It's like having a little art assistant inside the computer! Isn't that neat?
Adobe adds chatbots to Photoshop and other design apps Axios
Could not retrieve the full article text.
Read on GNews AI assistant →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Software-update - MobaXterm 26.2
Versie 26.2 van MobaXterm is uitgekomen. Dit veelzijdige programma heeft alles aan boord om een verbinding naar een andere computer op te zetten. Het kan overweg met onder meer SSH, Telnet, RDP, VNC en FTP. Het kan meerdere sessies in tabbladen weergeven en het kan ook als portable app worden gebruikt. MobaXterm is gratis voor thuisgebruik met slechts lichte beperkingen; een licentie voor in een commerciële omgeving kost 49 euro. Daarvoor mag het programma voor altijd worden gebruikt en krijg je ook ondersteuning en updates voor een jaar. De changelog voor deze uitgave ziet er als volgt uit: New feature:
![[P] MCGrad: fix calibration of your ML model in subgroups](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-earth-satellite-QfbitDhCB2KjTsjtXRYcf9.webp)
[P] MCGrad: fix calibration of your ML model in subgroups
Hi r/MachineLearning , We’re open-sourcing MCGrad , a Python package for multicalibration–developed and deployed in production at Meta. This work will also be presented at KDD 2026. The Problem: A model can be globally calibrated yet significantly miscalibrated within identifiable subgroups or feature intersections (e.g., "users in region X on mobile devices"). Multicalibration aims to ensure reliability across such subpopulations. The Solution: MCGrad reformulates multicalibration using gradient boosted decision trees. At each step, a lightweight booster learns to predict residual miscalibration of the base model given the features, automatically identifying and correcting miscalibrated regions. The method scales to large datasets, and uses early stopping to preserve predictive performanc
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!