AI Knows What. Geospatial AI Knows Where.gettyEnterprise AI is getting smarter fast. But many of the hardest decisions in business and government are not just data problems. They are geography problem
Shopify logoGetty ImagesWhat happens when traditional online selling platforms meet the power of specialized LLMs wrapped in entrepreneur-friendly tools?Well, predictably, it helps the average small b
Regulatory AI sandboxes are on the rise.gettyIn today’s column, I examine the increasing use of AI sandboxes as a regulatory safety net. Here’s the deal. Suppose an AI maker is creating an AI that cou
Shifting control of your social media feedsgettyBluesky has spent years making a case that social media does not have to be locked inside a few giant platforms. Introduced in closed beta at the ATmosp
So you’ve just seen The AI Doc: Or How I Became an Apocaloptimist, and you suddenly have questions, lots of them. The 104-minute documentary (currently in theaters) takes viewers on a fast-paced tour
At first glance, adding more features to a model seems like an obvious way to improve performance. If a model can learn from more information, it should be able to make better predictions. In practice
In this tutorial, we explore tqdm in depth and demonstrate how we build powerful, real-time progress tracking into modern Python workflows. We begin with nested progress bars and manual progress contr
In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality
Google DeepMind team has introduced Aletheia, a specialized AI agent designed to bridge the gap between competition-level math and professional research. While models achieved gold-medal standards at
What if the AI industry is optimizing for a goal that cannot be clearly defined or reliably measured? That is the central argument of a new paper by Yann LeCun, and his team, which claims that Artific
The race to build autonomous AI agents has hit a massive bottleneck: data. While frontier models like Claude Code and Codex CLI have demonstrated impressive proficiency in terminal environments, the t
Andrej Karpathy released autoresearch, a minimalist Python tool designed to enable AI agents to autonomously conduct machine learning experiments. The project is a stripped-down version of the nanocha
Google expanded its Gemini model family with the release of Gemini Embedding 2. This second-generation model succeeds the text-only gemini-embedding-001 and is designed specifically to address the hig
Large Language Models (LLMs) are the world’s best mimics, but when it comes to the cold, hard logic of updating beliefs based on new evidence, they are surprisingly stubborn. A team of researchers fro
The landscape of Text-to-Speech (TTS) is moving away from modular pipelines toward integrated Large Audio Models (LAMs). Fish Audio’s release of S2-Pro, the flagship model within the Fish Speech ecosy
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