Introducing OpenAI for Australia
OpenAI is launching OpenAI for Australia to build sovereign AI infrastructure, upskill more than 1.5 million workers, and accelerate innovation across the country’s growing AI ecosystem.
OpenAI is launching OpenAI for Australia to build sovereign AI infrastructure, upskill more than 1.5 million workers, and accelerate innovation across the country’s growing AI ecosystem.
Learn more about using Google products like Gemini, Search, Shopping, Pixel and more over the holidays.
A new global survey of executives, decision makers and knowledge workers reveals that organizations truly transforming with AI are seeing real results that move their bu…
Author(s): Manash Pratim Originally published on Towards AI. I Built an AI That Understands My Team’s Emotions From Our Commits and Messages I built an AI that analyzes commits, PR reviews, and Slack messages to detect emotional drift and burnout in engineering teams. Using vector-drift embeddings and a fine-tuned LLaMA model, it learned to read the subtext beneath our communication and the results shocked me. Image generated using AIThe article discusses the creation of an AI designed to […]
We’re already feeling the excitement building across the continent as top industry leaders, innovators, and revolutionary partners prepare for the 12th Annual BiG Africa Summit 2026, taking place from 16 –19 February 2026 at The Grand Palm Hotel Casino Convention Resort in Gaborone, Botswana. The coming edition is set to redefine standards in its sector and reciprocate the experience among an assemblage that comprises tens of the region’s finest talents, and a few visionaries as well. With an […]
The OpenAI Foundation announces the initial recipients of the People-First AI Fund, awarding $40.5M in unrestricted grants to 208 nonprofits supporting community innovation and opportunity.
During the first days of this Machine Learning Advent Calendar, we explored models based on distances. Today, we switch to a completely different way of learning: Decision Trees. With a simple one-feature dataset, we can see how a tree chooses its first split. The idea is always the same: if humans can guess the split visually, then we can rebuild the logic step by step in Excel. By listing all possible split values and computing the MSE for […]
It’s hard to keep up with the ever-changing trends of the fashion world. What’s “in” one minute is often out of style the next season, potentially causing you to re-evaluate your wardrobe. Staying current with the latest fashion styles can be wasteful and expensive, though. Roughly 92 million tons of textile waste are produced annually, including the clothes we discard when they go out of style or no longer fit. But what if we could simply reassemble our clothes […]
In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a probabilistic model that captures both global patterns and group-level variations. Through each snippet, we set up inference using NUTS, analyze posterior distributions, and perform posterior predictive checks to understand how well our model captures the underlying structure. By approaching the tutorial step by step, we build an intuitive […]